11.2.1.3.4 Neural Radiance Fields, NeRF, Analysis and Use

Remondino, F.[Fabio], Karami, A.[Ali], Yan, Z.Y.[Zi-Yang], Mazzacca, G.[Gabriele], Rigon, S.[Simone], Qin, R.J.[Rong-Jun],
A Critical Analysis of NeRF-Based 3D Reconstruction,
RS(15), No. 14, 2023, pp. 3585.
DOI Link 2307
BibRef

Zhu, J.Y.[Jun-Yu], Zhu, H.[Hao], Zhang, Q.[Qi], Zhu, F.[Fang], Ma, Z.[Zhan], Cao, X.[Xun],
Pyramid NeRF: Frequency Guided Fast Radiance Field Optimization,
IJCV(131), No. 10, October 2023, pp. 2649-2664.
Springer DOI 2309
BibRef

Croce, V.[Valeria], Billi, D.[Dario], Caroti, G.[Gabriella], Piemonte, A.[Andrea], de Luca, L.[Livio], Véron, P.[Philippe],
Comparative Assessment of Neural Radiance Fields and Photogrammetry in Digital Heritage: Impact of Varying Image Conditions on 3D Reconstruction,
RS(16), No. 2, 2024, pp. 301.
DOI Link 2402
BibRef

Wei, P.C.[Peng-Cheng], Yan, L.[Li], Xie, H.[Hong], Qiu, D.[Dashi], Qiu, C.C.[Chang-Cheng], Wu, H.[Hao], Zhao, Y.H.[Ying-Hao], Hu, X.[Xiao], Huang, M.[Ming],
LiDeNeRF: Neural radiance field reconstruction with depth prior provided by LiDAR point cloud,
PandRS(208), 2024, pp. 296-307.
Elsevier DOI Code:
WWW Link. 2402
NeRF, Neural radiance field, Point cloud, 3D reconstruction, Depth prior BibRef

Lan, Y.S.[Yu-Shi], Loy, C.C.[Chen Change], Dai, B.[Bo],
Correspondence Distillation from NeRF-Based GAN,
IJCV(132), No. 3, March 2024, pp. 611-631.
Springer DOI 2402
BibRef

Jia, Z.H.[Zhi-Hao], Wang, B.[Bing], Chen, C.[Changhao],
Drone-NeRF: Efficient NeRF based 3D scene reconstruction for large-scale drone survey,
IVC(143), 2024, pp. 104920.
Elsevier DOI 2403
Scene reconstruction, Neural radiance fields, UAV BibRef

Jain, N.[Nishant], Kumar, S.[Suryansh], Van Gool, L.J.[Luc J.],
Learning Robust Multi-scale Representation for Neural Radiance Fields from Unposed Images,
IJCV(132), No. 4, April 2024, pp. 1310-1335.
Springer DOI 2404
BibRef

Petrovska, I.[Ivana], Jutzi, B.[Boris],
Vision through Obstacles: 3D Geometric Reconstruction and Evaluation of Neural Radiance Fields (NeRFs),
RS(16), No. 7, 2024, pp. 1188.
DOI Link 2404
BibRef

Zhou, K.[Kun], Li, W.B.[Wen-Bo], Jiang, N.[Nianjuan], Han, X.G.[Xiao-Guang], Lu, J.B.[Jiang-Bo],
From NeRFLiX to NeRFLiX++: A General NeRF-Agnostic Restorer Paradigm,
PAMI(46), No. 5, May 2024, pp. 3422-3437.
IEEE DOI 2404
Degradation, Image restoration, Training, Rendering (computer graphics), deep learning BibRef

Zheng, C.W.[Cheng-Wei], Lin, W.B.[Wen-Bin], Xu, F.[Feng],
EditableNeRF: Editing Topologically Varying Neural Radiance Fields by Key Points,
PAMI(46), No. 8, August 2024, pp. 5779-5790.
IEEE DOI 2407
BibRef
Earlier: CVPR23(8317-8327)
IEEE DOI 2309
Training, Image reconstruction, Dynamics, Codes, Optimization, Rendering (computer graphics), Neural radiance fields, topological changes BibRef

Marí, R.[Roger],
Accelerating NeRF with the Visual Hull,
IPOL(14), 2024, pp. 217-231.
DOI Link 2408
BibRef

Zhang, X.Y.[Xiao-Yue], Cui, Y.[Yue], Ren, Y.C.[Yan-Chao], Duan, G.D.[Guo-Dong], Zhang, H.[Huanrui],
Loop Detection Method Based on Neural Radiance Field BoW Model for Visual Inertial Navigation of UAVs,
RS(16), No. 16, 2024, pp. 3038.
DOI Link 2408
BibRef

Zimny, D.[Dominik], Waczynska, J.[Joanna], Trzcinski, T.[Tomasz], Spurek, P.[Przemyslaw],
Points2NeRF: Generating Neural Radiance Fields from 3D point cloud,
PRL(185), 2024, pp. 8-14.
Elsevier DOI 2410
NeRF, 3D point clouds, Hypernetwork BibRef

Guo, S.[Shuai], Wang, Q.W.[Qiu-Wen], Gao, Y.J.[Yi-Jie], Xie, R.[Rong], Li, L.[Lin], Zhu, F.[Fang], Song, L.[Li],
Depth-Guided Robust Point Cloud Fusion NeRF for Sparse Input Views,
CirSysVideo(34), No. 9, September 2024, pp. 8093-8106.
IEEE DOI 2410
Point cloud compression, Optimization, Rendering (computer graphics), Vectors, Uncertainty, Geometry, NeRF, robust BibRef

Liu, Q.M.[Qi-Ming], Xin, H.R.[Hao-Ran], Liu, Z.[Zhe], Wang, H.S.[He-Sheng],
Integrating Neural Radiance Fields End-to-End for Cognitive Visuomotor Navigation,
PAMI(46), No. 12, December 2024, pp. 11200-11215.
IEEE DOI 2411
Neural radiance field, Navigation, Feature extraction, Cognition, Pipelines, Training, Embodied AI, memory cognition, visuomotor navigation BibRef

Ramirez, P.Z.[Pierluigi Zama], de Luigi, L.[Luca], Sirocchi, D.[Daniele], Cardace, A.[Adriano], Spezialetti, R.[Riccardo], Ballerini, F.[Francesco], Salti, S.[Samuele], Stefano, L.D.[Luigi Di],
Deep Learning on Object-Centric 3D Neural Fields,
PAMI(46), No. 12, December 2024, pp. 9940-9956.
IEEE DOI 2411
Noise measurement, Task analysis, Neural radiance field, Shape, Pipelines, Biological neural networks, Neural fields, INR, NeRF classification BibRef

Xiao, Y.T.[Yu-Ting], Xu, J.W.[Jing-Wei], Yu, Z.[Zehao], Gao, S.H.[Sheng-Hua],
DebSDF: Delving Into the Details and Bias of Neural Indoor Scene Reconstruction,
PAMI(46), No. 12, December 2024, pp. 8854-8869.
IEEE DOI 2411
E.g. thin structures. Image reconstruction, Surface reconstruction, Uncertainty, Rendering (computer graphics), Geometry, Optimization, bias-aware SDF to density transformation BibRef

Schieber, H.[Hannah], Deuser, F.[Fabian], Egger, B.[Bernhard], Oswald, N.[Norbert], Roth, D.[Daniel],
NeRFtrinsic Four: An end-to-end trainable NeRF jointly optimizing diverse intrinsic and extrinsic camera parameters,
CVIU(249), 2024, pp. 104206.
Elsevier DOI 2412
Machine vision and scene understanding, Image processing, Computer graphics, Computational geometry BibRef

Jiang, W.[Wen], Lei, B.[Boshu], Daniilidis, K.[Kostas],
Fisherrf: Active View Selection and Mapping with Radiance Fields Using Fisher Information,
ECCV24(XIII: 422-440).
Springer DOI 2412
BibRef

Im, W.B.[Woo-Bin], Cha, G.[Geonho], Lee, S.[Sebin], Lee, J.[Jumin], Seon, J.[Juhyeong], Wee, D.Y.[Dong-Yoon], Yoon, S.E.[Sung-Eui],
Regularizing Dynamic Radiance Fields with Kinematic Fields,
ECCV24(XXXIX: 312-328).
Springer DOI 2412
BibRef

Liu, W.H.[Wei-Hang], Zheng, X.X.[Xue Xian], Yu, J.Y.[Jing-Yi], Lou, X.[Xin],
Content-Aware Radiance Fields: Aligning Model Complexity with Scene Intricacy Through Learned Bitwidth Quantization,
ECCV24(XLIII: 239-256).
Springer DOI 2412
BibRef

Shen, S.[Shihe], Gao, H.C.[Hua-Chen], Xu, W.Z.[Wang-Ze], Peng, R.[Rui], Tang, L.Y.[Lu-Yang], Xiong, K.Q.[Kai-Qiang], Jiao, J.B.[Jian-Bo], Wang, R.G.[Rong-Gang],
Disentangled Generation and Aggregation for Robust Radiance Fields,
ECCV24(XLIX: 218-236).
Springer DOI 2412
BibRef

Wu, Z.K.[Zhong-Kai], Wan, Z.Y.[Zi-Yu], Zhang, J.[Jing], Liao, J.[Jing], Xu, D.[Dong],
RAFE: Generative Radiance Fields Restoration,
ECCV24(LXVII: 163-179).
Springer DOI 2412
BibRef

Yang, X.[XianBen], Wang, T.[Tao], Liu, H.[He], Jin, Y.[Yi], Lang, C.[Congyan], Li, Y.D.[Yi-Dong],
Enhancing Multimedia Applications by Removing Dynamic Objects in Neural Radiance Fields,
ACCV24(X: 108-124).
Springer DOI 2412
BibRef

Okunev, M.[Mikhail], Mapeke, M.[Marc], Attal, B.[Benjamin], Richardt, C.[Christian], O'Toole, M.[Matthew], Tompkin, J.[James],
Flowed Time of Flight Radiance Fields,
ECCV24(LXII: 373-389).
Springer DOI 2412
BibRef

Wang, L.[Le], Li, S.G.[Shi-Gang],
Learning Neural Radiance Field from Quasi-uniformly Sampled Spherical Image for Immersive Virtual Reality,
ACCV24(VI: 157-171).
Springer DOI 2412
BibRef

Xie, S.X.[Shu-Xiang], Zhou, S.Y.[Shu-Yi], Sakurada, K.[Ken], Ishikawa, R.[Ryoichi], Onishi, M.[Masaki], Oishi, T.[Takeshi],
G^2fR: Frequency Regularization in Grid-Based Feature Encoding Neural Radiance Fields,
ECCV24(XXII: 186-203).
Springer DOI 2412
BibRef

Mahajan, M.[Mihir], Hofherr, F.[Florian], Cremers, D.[Daniel],
Meshfeat: Multi-resolution Features for Neural Fields on Meshes,
ECCV24(XXIX: 268-285).
Springer DOI 2412
BibRef

Garg, R.[Ravi], Chng, S.F.[Shin-Fang], Lucey, S.[Simon],
Direct Alignment for Robust NeRF Learning,
ACCV24(IX: 88-104).
Springer DOI 2412
BibRef

Mai, J.J.[Jin-Jie], Zhu, W.X.[Wen-Xuan], Rojas, S.[Sara], Zarzar, J.[Jesus], Hamdi, A.[Abdullah], Qian, G.[Guocheng], Li, B.[Bing], Giancola, S.[Silvio], Ghanem, B.[Bernard],
TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Tracks,
ECCV24(XII: 470-489).
Springer DOI 2412
BibRef

Catley-Chandar, S.[Sibi], Shaw, R.[Richard], Slabaugh, G.[Gregory], Pérez-Pellitero, E.[Eduardo],
RogueNeRF: A Robust Geometry-consistent Universal Enhancer for NeRF,
ECCV24(XII: 54-71).
Springer DOI 2412
BibRef

Chen, Y.J.[Yu-Jin], Nie, Y.[Yinyu], Ummenhofer, B.[Benjamin], Birkl, R.[Reiner], Paulitsch, M.[Michael], Müller, M.[Matthias], Nießner, M.[Matthias],
Mesh2nerf: Direct Mesh Supervision for Neural Radiance Field Representation and Generation,
ECCV24(IX: 173-191).
Springer DOI 2412
BibRef

Zhou, Q.[Qunjie], Maximov, M.[Maxim], Litany, O.[Or], Leal-Taixé, L.[Laura],
The NeRFect Match: Exploring NeRF Features for Visual Localization,
ECCV24(XXIV: 108-127).
Springer DOI 2412
BibRef

Chng, S.F.[Shin-Fang], Garg, R.[Ravi], Saratchandran, H.[Hemanth], Lucey, S.[Simon],
Invertible Neural Warp for NeRF,
ECCV24(XVII: 405-421).
Springer DOI 2412
BibRef

Irshad, M.Z.[Muhammad Zubair], Zakharov, S.[Sergey], Guizilini, V.[Vitor], Gaidon, A.[Adrien], Kira, Z.[Zsolt], Ambrus, R.[Rares],
NeRF-MAE: Masked Autoencoders for Self-supervised 3d Representation Learning for Neural Radiance Fields,
ECCV24(LXXXVIII: 434-453).
Springer DOI 2412
BibRef

Amini-Naieni, N.[Niki], Jakab, T.[Tomas], Vedaldi, A.[Andrea], Clark, R.[Ronald],
Instant Uncertainty Calibration of NeRFs Using a Meta-calibrator,
ECCV24(LXXVIII: 309-324).
Springer DOI 2412
BibRef

Khatib, R.[Rajaei], Giryes, R.[Raja],
Trinerflet: A Wavelet Based Triplane NeRF Representation,
ECCV24(LXXIX: 358-374).
Springer DOI 2412
BibRef

Niu, M.[Muyao], Chen, T.[Tong], Zhan, Y.F.[Yi-Fan], Li, Z.X.[Zhuo-Xiao], Ji, X.[Xiang], Zheng, Y.Q.[Yin-Qiang],
RS-NeRF: Neural Radiance Fields from Rolling Shutter Images,
ECCV24(XLVI: 163-180).
Springer DOI 2412
BibRef

Li, R.L.[Rui-Long], Fidler, S.[Sanja], Kanazawa, A.[Angjoo], Williams, F.[Francis],
NeRF-XL: Scaling NeRFs with Multiple GPUs,
ECCV24(XLVIII: 92-107).
Springer DOI 2412
BibRef

Tasneem, Z.[Zaid], Dave, A.[Akshat], Singh, A.[Abhishek], Tiwary, K.[Kushagra], Vepakomma, P.[Praneeth], Veeraraghavan, A.[Ashok], Raskar, R.[Ramesh],
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images,
ECCV24(LIX: 144-161).
Springer DOI 2412
BibRef

Segre, L.[Leo], Avidan, S.[Shai],
VF-NeRF: Viewshed Fields for Rigid NeRF Registration,
ECCV24(LX: 164-181).
Springer DOI 2412
BibRef

Chi, Y.[Yu], Zhan, F.N.[Fang-Neng], Wu, S.[Sibo], Theobalt, C.[Christian], Kortylewski, A.[Adam],
DatasetNeRF: Efficient 3d-aware Data Factory with Generative Radiance Fields,
ECCV24(LXII: 354-372).
Springer DOI 2412
BibRef

Rau, A.[Anita], Aklilu, J.[Josiah], Holsinger, F.C.[F. Christopher], Yeung-Levy, S.[Serena],
Depth-guided NeRF Training via Earth Mover's Distance,
ECCV24(LXIV: 1-17).
Springer DOI 2412
BibRef

Xu, Q.S.[Qing-Shan], Yi, X.Y.[Xuan-Yu], Xu, J.[Jianyao], Tao, W.B.[Wen-Bing], Ong, Y.S.[Yew-Soon], Zhang, H.W.[Han-Wang],
Few-shot NeRF by Adaptive Rendering Loss Regularization,
ECCV24(LXVI: 125-142).
Springer DOI 2412
BibRef

Guo, Y.L.[Yu-Liang], Kumar, A.[Abhinav], Zhao, C.[Cheng], Wang, R.[Ruoyu], Huang, X.Y.[Xin-Yu], Ren, L.[Liu],
SUP-NeRF: A Streamlined Unification of Pose Estimation and NeRF for Monocular 3d Object Reconstruction,
ECCV24(LXIX: 37-53).
Springer DOI 2412
BibRef

Petit, D.[Doriand], Bourgeois, S.[Steve], Pavel, D.[Dumitru], Gay-Bellile, V.[Vincent], Chabot, F.[Florian], Barthe, L.[Loïc],
Ring-NeRF: Rethinking Inductive Biases for Versatile and Efficient Neural Fields,
ECCV24(XXXV: 148-164).
Springer DOI 2412
BibRef

Zhong, Z.[Zhide], Cao, J.[Jiakai], Gu, S.[Songen], Xie, S.[Sirui], Luo, L.[Liyi], Zhao, H.[Hao], Zhou, G.[Guyue], Li, H.A.[Hao-Ang], Yan, Z.[Zike],
Structured-NeRF: Hierarchical Scene Graph with Neural Representation,
ECCV24(XXXV: 184-201).
Springer DOI 2412
BibRef

Xu, B.[Bo], Liu, Z.[Ziao], Guo, M.Q.[Meng-Qi], Li, J.C.[Jian-Cheng], Lee, G.H.[Gim Hee],
URS-NeRF: Unordered Rolling Shutter Bundle Adjustment for Neural Radiance Fields,
ECCV24(XXXV: 458-475).
Springer DOI 2412
BibRef

Korhonen, J.[Juuso], Rangu, G.[Goutham], Tavakoli, H.R.[Hamed R.], Kannala, J.H.[Ju-Ho],
Efficient NeRF Optimization - Not All Samples Remain Equally Hard,
ECCV24(XXXVI: 198-213).
Springer DOI 2412
BibRef

Sun, W.W.[Wei-Wei], Trulls, E.[Eduard], Tseng, Y.C.[Yang-Che], Sambandam, S.[Sneha], Sharma, G.[Gopal], Tagliasacchi, A.[Andrea], Yi, K.M.[Kwang Moo],
PointNeRF++: A Multi-scale, Point-based Neural Radiance Field,
ECCV24(XXXVIII: 221-238).
Springer DOI 2412
BibRef

He, Y.S.[Yi-Sheng], Yuan, W.H.[Wei-Hao], Zhu, S.[Siyu], Dong, Z.L.[Zi-Long], Bo, L.[Liefeng], Huang, Q.X.[Qi-Xing],
Freditor: High-fidelity and Transferable NeRF Editing by Frequency Decomposition,
ECCV24(XLI: 73-91).
Springer DOI 2412
BibRef

Park, Y.[Youngin], Nam, S.[Seungtae], Hahm, C.H.[Cheul-Hee], Park, E.[Eunbyung],
FREQ-MIP-AA: Frequency Mip Representation for Anti-Aliasing Neural Radiance Fields,
ICIP24(3278-3284)
IEEE DOI Code:
WWW Link. 2411
Training, Image coding, Codes, Filtering, Frequency-domain analysis, Low-pass filters, Neural radiance fields (NeRF), Anti-aliasing, Frequency domain filter BibRef

Tang, L.Y.[Lu-Yang], Zhai, Y.Q.[Yong-Qi], Wang, R.G.[Rong-Gang],
Compression-Aware Tuning for Compressing Volumetric Radiance Fields,
ICIP24(2250-2256)
IEEE DOI 2411
Training, Image coding, Costs, Vector quantization, Noise, Rendering (computer graphics), Neural radiance field, Compact Radiance Fields BibRef

Sekikawa, Y.[Yusuke], Hsu, C.[Chingwei], Ikehata, S.[Satoshi], Kawakami, R.[Rei], Sato, I.[Ikuro],
Gumbel-NeRF: Representing Unseen Objects as Part-Compositional Neural Radiance Fields,
ICIP24(2382-2388)
IEEE DOI 2411
Measurement, Image quality, Training, Shape, Switches BibRef

Liu, Z.[Zhen], Zhu, H.[Hao], Zhang, Q.[Qi], Fu, J.[Jingde], Deng, W.B.[Wei-Bing], Ma, Z.[Zhan], Guo, Y.[Yanwen], Cao, X.[Xun],
FINER: Flexible Spectral-Bias Tuning in Implicit NEural Representation by Variableperiodic Activation Functions,
CVPR24(2713-2722)
IEEE DOI 2410
Shape, Frequency-domain analysis, Neural networks, Fitting, Signal processing, Rendering (computer graphics), Variable-periodic Activation Functions BibRef

Shabanov, A.A.[Akhmedkhan Ahan], Govindarajan, S.[Shrisudhan], Reading, C.[Cody], Goli, L.[Lily], Rebain, D.[Daniel], Yi, K.M.[Kwang Moo], Tagliasacchi, A.[Andrea],
BANF: Band-Limited Neural Fields for Levels of Detail Reconstruction,
CVPR24(20571-20580)
IEEE DOI Code:
WWW Link. 2410
Training, Filtering, Source coding, Frequency-domain analysis, Training data, Low-pass filters, Computer architecture, 3D reconstruction BibRef

Saratchandran, H.[Hemanth], Ramasinghe, S.[Sameera], Lucey, S.[Simon],
From Activation to Initialization: Scaling Insights for Optimizing Neural Fields,
CVPR24(413-422)
IEEE DOI 2410
Scalability, Neural networks, Signal representation, Optimization, Convergence, Neural Fields BibRef

Papa, S.[Samuele], Valperga, R.[Riccardo], Knigge, D.[David], Kofinas, M.[Miltiadis], Lippe, P.[Phillip], Sonke, J.J.[Jan-Jakob], Gavves, E.[Efstratios],
How to Train Neural Field Representations: A Comprehensive Study and Benchmark,
CVPR24(22616-22625)
IEEE DOI 2410
Representation learning, Accuracy, Shape, Fitting, Benchmark testing, Neural radiance field, Libraries, neural fields, benchmark BibRef

Huang, Y.[Yao], Dong, Y.P.[Yin-Peng], Ruan, S.[Shouwei], Yang, X.[Xiao], Su, H.[Hang], Wei, X.X.[Xing-Xing],
Towards Transferable Targeted 3D Adversarial Attack in the Physical World,
CVPR24(24512-24522)
IEEE DOI 2410
Visualization, Closed box, Optimization methods, Three-dimensional printing, Neural radiance field, Filling BibRef

Dou, Y.M.[Yi-Ming], Yang, F.Y.[Feng-Yu], Liu, Y.[Yi], Loquercio, A.[Antonio], Owens, A.[Andrew],
Tactile-Augmented Radiance Fields,
CVPR24(26519-26529)
IEEE DOI Code:
WWW Link. 2410
Location awareness, Visualization, Robot vision systems, Tactile sensors, Neural radiance field, Cameras BibRef

Ehret, T.[Thibaud], Marí, R.[Roger], Derksen, D.[Dawa], Gasnier, N.[Nicolas], Facciolo, G.[Gabriele],
Radar Fields: An Extension of Radiance Fields to SAR,
EarthVision24(564-574)
IEEE DOI 2410
Radar remote sensing, Laser radar, Spaceborne radar, Computational modeling, Radar imaging, Optical imaging, Radar polarimetry BibRef

Wang, C.[Chen], Wang, A.[Angtian], Li, J.[Junbo], Yuille, A.[Alan], Xie, C.[Cihang],
Benchmarking Robustness in Neural Radiance Fields,
AML24(2926-2936)
IEEE DOI 2410
Analytical models, Image recognition, Benchmark testing, Neural radiance field, Feature extraction, Robustness BibRef

Esposito, S.[Salvatore], Xu, Q.S.[Qing-Shan], Kania, K.[Kacper], Hewitt, C.[Charlie], Mariotti, O.[Octave], Petikam, L.[Lohit], Valentin, J.[Julien], Onken, A.[Arno], Aodha, O.M.[Oisin Mac],
GeoGen: Geometry-Aware Generative Modeling via Signed Distance Functions,
GCV24(7479-7488)
IEEE DOI 2410
Geometry, Training, Representation learning, Solid modeling, Limiting, Neural radiance field BibRef

Wang, W.Y.[Wei-Yao], Gleize, P.[Pierre], Tang, H.[Hao], Chen, X.Y.[Xing-Yu], Liang, K.J.[Kevin J], Feiszli, M.[Matt],
ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization,
CVPR24(5406-5417)
IEEE DOI 2410
Training, Heuristic algorithms, Pipelines, Neural radiance field, Cameras BibRef

Xie, D.[Desai], Li, J.H.[Jia-Hao], Tan, H.[Hao], Sun, X.[Xin], Shu, Z.X.[Zhi-Xin], Zhou, Y.[Yi], Bi, S.[Sai], Pirk, S.[Sören], Kaufman, A.E.[Arie E.],
Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning,
CVPR24(6369-6379)
IEEE DOI Code:
WWW Link. 2410
Measurement, Training, Solid modeling, Computational modeling, Reinforcement learning, Neural radiance field, 3D Generation, Multi-view Consistency BibRef

Zhang, Q.H.[Qi-Hang], Xu, Y.H.[Ying-Hao], Shen, Y.J.[Yu-Jun], Dai, B.[Bo], Zhou, B.[Bolei], Yang, C.[Ceyuan],
BerfScene: Bev-conditioned Equivariant Radiance Fields for Infinite 3D Scene Generation,
CVPR24(6839-6849)
IEEE DOI Code:
WWW Link. 2410
Low-pass filters, Generators, Encoding, 3D generation, Scene generation, Generative Adversarial Network, GAN BibRef

Zheng, Y.F.[Yu-Feng], Li, X.T.[Xue-Ting], Nagano, K.[Koki], Liu, S.[Sifei], Hilliges, O.[Otmar], de Mello, S.[Shalini],
A Unified Approach for Text-and Image-Guided 4D Scene Generation,
CVPR24(7300-7309)
IEEE DOI 2410
Solid modeling, Deformation, Neural radiance field, Task analysis, 4D scene generation BibRef

Liu, T.Q.[Tian-Qi], Ye, X.[Xinyi], Shi, M.[Min], Huang, Z.H.[Zi-Hao], Pan, Z.Y.[Zhi-Yu], Peng, Z.[Zhan], Cao, Z.G.[Zhi-Guo],
Geometry-aware Reconstruction and Fusion-refined Rendering for Generalizable Neural Radiance Fields,
CVPR24(7654-7663)
IEEE DOI Code:
WWW Link. 2410
Geometry, Costs, Fuses, Estimation, Rendering (computer graphics), Neural radiance field BibRef

Cannici, M.[Marco], Scaramuzza, D.[Davide],
Mitigating Motion Blur in Neural Radiance Fields with Events and Frames,
CVPR24(9286-9296)
IEEE DOI 2410
Training, Adaptation models, Image resolution, Image color analysis, Fuses, Face recognition, Dynamics, NeRF, Event Camera BibRef

Fei, F.[Fan], Tang, J.J.[Jia-Jun], Tan, P.[Ping], Shi, B.X.[Bo-Xin],
VMINer: Versatile Multi-view Inverse Rendering with Near-and Far-field Light Sources,
CVPR24(11800-11809)
IEEE DOI 2410
Geometry, Training, Surface reconstruction, Lighting, Rendering (computer graphics), Neural radiance field BibRef

Koo, J.[Juil], Park, C.[Chanho], Sung, M.[Minhyuk],
Posterior Distillation Sampling,
CVPR24(13352-13361)
IEEE DOI Code:
WWW Link. 2410
Graphics, Stochastic processes, Optimization methods, Diffusion models, Neural radiance field, Vectors, Diffusion Models, SVG Editing BibRef

Klinghoffer, T.[Tzofi], Xiang, X.Y.[Xiao-Yu], Somasundaram, S.[Siddharth], Fan, Y.C.[Yu-Chen], Richardt, C.[Christian], Raskar, R.[Ramesh], Ranjan, R.[Rakesh],
PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar,
CVPR24(14565-14574)
IEEE DOI 2410
Geometry, Laser radar, Neural radiance field, Optical imaging, Optical sensors BibRef

Chen, X.[Xiao], Li, Q.[Quanyi], Wang, T.[Tai], Xue, T.F.[Tian-Fan], Pang, J.M.[Jiang-Miao],
GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction,
CVPR24(16436-16445)
IEEE DOI 2410
Training, Geometry, Semantics, Reinforcement learning, Manuals, Neural radiance field, Active 3D Reconstruction, Next-Best-View Policy BibRef

XU, H.F.[Hao-Fei], Chen, A.[Anpei], Chen, Y.D.[Yue-Dong], Sakaridis, C.[Christos], Zhang, Y.[Yulun], Pollefeys, M.[Marc], Geiger, A.[Andreas], Yu, F.[Fisher],
MuRF: Multi-Baseline Radiance Fields,
CVPR24(20041-20050)
IEEE DOI 2410
Solid modeling, Aggregates, Rendering (computer graphics), Distance measurement BibRef

Goli, L.[Lily], Reading, C.[Cody], Sellán, S.[Silvia], Jacobson, A.[Alec], Tagliasacchi, A.[Andrea],
Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields,
CVPR24(20061-20070)
IEEE DOI Code:
WWW Link. 2410
Training, Uncertainty, Perturbation methods, Octrees, Neural radiance field, Uncertainty Quantification, Neural Radiance Fields BibRef

Kheradmand, S.[Shakiba], Rebain, D.[Daniel], Sharma, G.[Gopal], Isack, H.[Hossam], Kar, A.[Abhishek], Tagliasacchi, A.[Andrea], Yi, K.M.[Kwang Moo],
Accelerating Neural Field Training via Soft Mining,
CVPR24(20071-20080)
IEEE DOI 2410
Training, Monte Carlo methods, Codes, Fitting, Neural radiance field BibRef

Wang, Y.S.[Yun-Song], Chen, H.L.[Han-Lin], Lee, G.H.[Gim Hee],
GOV-NeSF: Generalizable Open-Vocabulary Neural Semantic Fields,
CVPR24(20443-20453)
IEEE DOI 2410
Costs, Attention mechanisms, Image color analysis, Semantic segmentation, Aggregates, 3D Scene Understanding, Neural Radiance Fields BibRef

Ling, H.[Han], Sun, Q.S.[Quan-Sen], Sun, Y.H.[Ying-Hui], Xu, X.[Xian], Li, X.F.[Xing-Feng],
ADFactory: An Effective Framework for Generalizing Optical Flow With NeRF,
CVPR24(20591-20600)
IEEE DOI Code:
WWW Link. 2410
Training, Optical losses, Neural radiance field, Cameras, Rendering (computer graphics), Production facilities, self-supervised BibRef

Weber, E.[Ethan], Holynski, A.[Aleksander], Jampani, V.[Varun], Saxena, S.[Saurabh], Snavely, N.[Noah], Kar, A.[Abhishek], Kanazawa, A.[Angjoo],
NeRFiller: Completing Scenes via Generative 3D Inpainting,
CVPR24(20731-20741)
IEEE DOI Code:
WWW Link. 2410
Solid modeling, Visualization, Noise, Neural radiance field, Diffusion models BibRef

Li, J.[Jiahe], Zhang, J.W.[Jia-Wei], Bai, X.[Xiao], Zheng, J.[Jin], Ning, X.[Xin], Zhou, J.[Jun], Gu, L.[Lin],
DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization,
CVPR24(20775-20785)
IEEE DOI Code:
WWW Link. 2410
Geometry, Training, Degradation, Costs, Color BibRef

Shi, R.X.[Ruo-Xi], Wei, X.Y.[Xin-Yue], Wang, C.[Cheng], Su, H.[Hao],
ZeroRF: Fast Sparse View 360° Reconstruction with Zero Pretraining,
CVPR24(21114-21124)
IEEE DOI Code:
WWW Link. 2410
Face recognition, Neural networks, Optimization methods, Benchmark testing, Neural radiance field, neural radiance field BibRef

Sun, B.[Bo], Groueix, T.[Thibault], Song, C.[Chen], Huang, Q.X.[Qi-Xing], Aigerman, N.[Noam],
TutteNet: Injective 3D Deformations by Composition of 2D Mesh Deformations,
CVPR24(21378-21389)
IEEE DOI 2410
Deformation, Shape, Rendering (computer graphics), Neural radiance field, Real-time systems, 3D Deformation, NeRF, Bijective Mapping BibRef

Zhong, Y.J.[Ying-Ji], Hong, L.Q.[Lan-Qing], Li, Z.G.[Zhen-Guo], Xu, D.[Dan],
CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs,
CVPR24(21466-21475)
IEEE DOI Code:
WWW Link. 2410
Training, Degradation, Solid modeling, Image color analysis, Semantics, Neural radiance field BibRef

Kim, C.M.[Chung Min], Wu, M.X.[Ming-Xuan], Kerr, J.[Justin], Goldberg, K.[Ken], Tancik, M.[Matthew], Kanazawa, A.[Angjoo],
GARField: Group Anything with Radiance Fields,
CVPR24(21530-21539)
IEEE DOI Code:
WWW Link. 2410
Image segmentation, Fuses, Wheels, Excavation, Scene understanding, 3D from multi-view BibRef

Wu, R.[Rundi], Mildenhall, B.[Ben], Henzler, P.[Philipp], Park, K.[Keunhong], Gao, R.Q.[Rui-Qi], Watson, D.[Daniel], Srinivasan, P.P.[Pratul P.], Verbin, D.[Dor], Barron, J.T.[Jonathan T.], Poole, B.[Ben], Holynski, A.[Aleksander],
ReconFusion: 3D Reconstruction with Diffusion Priors,
CVPR24(21551-21561)
IEEE DOI 2410
Geometry, Pipelines, Neural radiance field, Rendering (computer graphics), Cameras, 3D reconstruction, diffusion model BibRef

Xue, S.J.[Shang-Jie], Dill, J.[Jesse], Mathur, P.[Pranay], Dellaert, F.[Frank], Tsiotra, P.[Panagiotis], Xu, D.[Danfei],
Neural Visibility Field for Uncertainty-Driven Active Mapping,
CVPR24(18122-18132)
IEEE DOI Code:
WWW Link. 2410
Training, Visualization, Uncertainty, Robot vision systems, Pipelines, Neural radiance field, Uncertainty Quantification BibRef

Ren, W.N.[Wei-Ning], Zhu, Z.[Zihan], Sun, B.Y.[Bo-Yang], Chen, J.Q.[Jia-Qi], Pollefeys, M.[Marc], Peng, S.[Songyou],
NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild,
CVPR24(8931-8940)
IEEE DOI 2410
Uncertainty, Face recognition, Lighting, Neural radiance field, Image sequences, Convergence BibRef

Rebain, D.[Daniel], Yazdani, S.[Soroosh], Yi, K.M.[Kwang Moo], Tagliasacchi, A.[Andrea],
Neural Fields as Distributions: Signal Processing Beyond Euclidean Space,
CVPR24(4274-4283)
IEEE DOI 2410
Training, Manifolds, Measurement errors, Filtering, Lie groups, Digital signal processing, Neural radiance field, Neural Fields, Group Theory BibRef

Gao, Z.[Zihan], Jiao, L.C.[Li-Cheng], Li, L.L.[Ling-Ling], Liu, X.[Xu], Liu, F.[Fang], Chen, P.[Puhua], Guo, Y.W.[Yu-Wei],
Multiplane Prior Guided Few-Shot Aerial Scene Rendering,
CVPR24(5009-5019)
IEEE DOI 2410
Training, Face recognition, Neural radiance field, Rendering (computer graphics), Transformers, Autonomous aerial vehicles BibRef

Shum, K.C.[Ka Chun], Kim, J.Y.[Jae-Yeon], Hua, B.S.[Binh-Son], Nguyen, D.T.[Duc Thanh], Yeung, S.K.[Sai-Kit],
Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates,
CVPR24(5176-5187)
IEEE DOI 2410
Training, Solid modeling, Text to image, Neural radiance field, Diffusion models BibRef

Duan, H.B.[Hao-Bin], Wang, M.[Miao], Li, Y.X.[Yan-Xun], Yang, Y.L.[Yong-Liang],
Neural 3D Strokes: Creating Stylized 3D Scenes with Vectorized 3D Strokes,
CVPR24(5240-5249)
IEEE DOI Code:
WWW Link. 2410
Training, Solid modeling, Stroke (medical condition), Neural radiance field, Vectors BibRef

Tang, Z.G.[Zheng-Gang], Ren, Z.Z.[Zhong-Zheng], Zhao, X.M.[Xiao-Ming], Wen, B.[Bowen], Tremblay, J.[Jonathan], Birchfield, S.[Stan], Schwing, A.[Alexander],
NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows,
CVPR24(10293-10303)
IEEE DOI Code:
WWW Link. 2410
Matched filters, Shape, Grounding, Transforms, Filtering algorithms, Neural radiance field, NeRF transformation, single view, 3D correspondence matching BibRef

Lindström, C.[Carl], Hess, G.[Georg], Lilja, A.[Adam], Fatemi, M.[Maryam], Hammarstrand, L.[Lars], Petersson, C.[Christoffer], Svensson, L.[Lennart],
Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap,
WAD24(4461-4471)
IEEE DOI 2410
Measurement, Object detection, Neural radiance field, Rendering (computer graphics), Data models, Robustness, Closed-loop simulation BibRef

Radl, L.[Lukas], Kurz, A.[Andreas], Steiner, M.[Michael], Steinberger, M.[Markus],
Analyzing the Internals of Neural Radiance Fields,
NRend24(2822-2831)
IEEE DOI 2410
Training, Visualization, Protocols, Network architecture, Neural radiance field, NeRF, Analysis, Activations BibRef

Selvaratnam, D.[Dharmendra], Bazazian, D.[Dena],
Localised-NeRF: Specular Highlights and Colour Gradient Localising in NeRF,
NRend24(2791-2801)
IEEE DOI 2410
Training, Visualization, Image color analysis, Neural radiance field, Rendering (computer graphics), Colour gradient BibRef

Zou, H.[Hang], Zhang, H.[Hui], Zhang, Y.[Yuan], Ma, H.[Hui], Zhao, D.[Dexin], Zhang, Q.[Qi], Li, Q.[Qi],
Multi-angle Consistent Generative NeRF with Additive Angular Margin Momentum Contrastive Learning,
FAS24(930-939)
IEEE DOI 2410
Additives, Deformation, Face recognition, Contrastive learning, Production BibRef

Ballerini, F.[Francesco], Ramirez, P.Z.[Pierluigi Zama], Mirabella, R.[Roberto], Salti, S.[Samuele], di Stefano, L.[Luigi],
Connecting NeRFs, Images, and Text,
NERF24(866-876)
IEEE DOI 2410
Representation learning, Image processing, Neural radiance field, 3D Neural Fields BibRef

Li, S.C.[Si-Cheng], Li, H.[Hao], Liao, Y.[Yiyi], Yu, L.[Lu],
NeRFCodec: Neural Feature Compression Meets Neural Radiance Fields for Memory-Efficient Scene Representation,
CVPR24(21274-21283)
IEEE DOI 2410
Training, Codecs, Image coding, Quantization (signal), Head, Rate-distortion BibRef

Ma, L.[Li], Agrawal, V.[Vasu], Turki, H.[Haithem], Kim, C.[Changil], Gao, C.[Chen], Sander, P.[Pedro], Zollhöfer, M.[Michael], Richardt, C.[Christian],
SpecNeRF: Gaussian Directional Encoding for Specular Reflections,
CVPR24(21188-21198)
IEEE DOI 2410
Geometry, Solid modeling, Shape, Pipelines, Lighting, Neural radiance field, Specular Reflections, Gaussians BibRef

Chou, Z.T.[Zi-Ting], Huang, S.Y.[Sheng-Yu], Liu, I.J.[I-Jieh], Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understanding,
CVPR24(20806-20815)
IEEE DOI 2410
Geometry, Visualization, Semantic segmentation, Semantics, Neural radiance field, Rendering (computer graphics), 3D NeRF, generalizable nerf BibRef

Sun, X.T.[Xiao-Tian], Xu, Q.S.[Qing-Shan], Yang, X.J.[Xin-Jie], Zang, Y.[Yu], Wang, C.[Cheng],
Global and Hierarchical Geometry Consistency Priors for Few-Shot NeRFs in Indoor Scenes,
CVPR24(20530-20539)
IEEE DOI Code:
WWW Link. 2410
Geometry, Training, Limiting, Shape, Estimation, Predictive models, Neural radiance field BibRef

Ahn, J.[Joshua], Wang, H.C.[Hao-Chen], Yeh, R.A.[Raymond A.], Shakhnarovich, G.[Greg],
Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields,
CVPR24(20396-20405)
IEEE DOI Code:
WWW Link. 2410
Computer architecture, Neural radiance field, nerf BibRef

Chen, Y.H.[Yi-Hang], Wu, Q.Y.[Qian-Yi], Harandi, M.[Mehrtash], Cai, J.F.[Jian-Fei],
How Far can we Compress Instant-NGP-Based NeRF?,
CVPR24(20321-20330)
IEEE DOI Code:
WWW Link. 2410
Redundancy, Neural radiance field, Solids, Rendering (computer graphics), Excavation, NeRF, Instant-NGP, Context Models BibRef

Wang, H.Y.[Hao-Yuan], Hu, W.B.[Wen-Bo], Zhu, L.[Lei], Lau, R.W.H.[Rynson W.H.],
Inverse Rendering of Glossy Objects via the Neural Plenoptic Function and Radiance Fields,
CVPR24(19999-20008)
IEEE DOI Code:
WWW Link. 2410
Geometry, Accuracy, Lighting, Ray tracing, Rendering (computer graphics), Neural radiance field, NeRF BibRef

Engelhardt, A.[Andreas], Raj, A.[Amit], Boss, M.[Mark], Zhang, Y.Z.[Yun-Zhi], Kar, A.[Abhishek], Li, Y.Z.[Yuan-Zhen], Sun, D.Q.[De-Qing], Brualla, R.M.[Ricardo Martin], Barron, J.T.[Jonathan T.], Lensch, H.P.A.[Hendrik P. A.], Jampani, V.[Varun],
SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild,
CVPR24(19636-19646)
IEEE DOI 2410
Reflectivity, Shape, Lighting, Cameras, Rendering (computer graphics), In-the-wild, NeRF, BRDF, Materials, Decomposition BibRef

Sun, S.[Shanlin], Zhuang, B.B.[Bing-Bing], Jiang, Z.Y.[Zi-Yu], Liu, B.[Buyu], Xie, X.H.[Xiao-Hui], Chandraker, M.[Manmohan],
LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes,
CVPR24(19563-19572)
IEEE DOI 2410
Training, Point cloud compression, Laser radar, Scalability, Roads, Neural radiance field, NeRF, Simulation, Lidar, Autonomous Driving BibRef

Chen, J.H.[Jia-Hao], Qin, Y.P.[Yi-Peng], Liu, L.J.[Ling-Jie], Lu, J.B.[Jiang-Bo], Li, G.B.[Guan-Bin],
NeRF-HuGS: Improved Neural Radiance Fields in Non-static Scenes Using Heuristics-Guided Segmentation,
CVPR24(19436-19446)
IEEE DOI Code:
WWW Link. 2410
Training, Semantic segmentation, Design methodology, Diversity reception, Neural radiance field, 3D from multi-view and sensors BibRef

Zhao, Z.L.[Ze-Lin], Fan, F.L.[Feng-Lei], Liao, W.L.[Wen-Long], Yan, J.C.[Jun-Chi],
Grounding and Enhancing Grid-based Models for Neural Fields,
CVPR24(19425-19435)
IEEE DOI 2410
Adaptation models, Analytical models, Solid modeling, Systematics, Computational modeling, Numerical models, tangent-kernels, NeRF, 3DGS BibRef

Herau, Q.[Quentin], Piasco, N.[Nathan], Bennehar, M.[Moussab], Roldao, L.[Luis], Tsishkou, D.[Dzmitry], Migniot, C.[Cyrille], Vasseur, P.[Pascal], Demonceaux, C.[Cédric],
SOAC: Spatio-Temporal Overlap-Aware Multi-Sensor Calibration using Neural Radiance Fields,
CVPR24(15131-15140)
IEEE DOI 2410
Accuracy, Neural radiance field, Robustness, Sensors, Calibration, Trajectory, NeRF, Neural Radiance Field, Calibration, Spatiotemporal, extrinsic BibRef

Jang, Y.D.[Young-Dong], Lee, D.I.[Dong In], Jang, M.[MinHyuk], Kim, J.W.[Jong Wook], Yang, F.[Feng], Kim, S.[Sangpil],
WateRF: Robust Watermarks in Radiance Fields for Protection of Copyrights,
CVPR24(12087-12097)
IEEE DOI Code:
WWW Link. 2410
Training, Solid modeling, Watermarking, Transforms, Neural radiance field, Rendering (computer graphics), NeRF, CopyRights BibRef

Tang, Y.K.[Yun-Kai], Zhu, C.X.[Cheng-Xuan], Wan, R.J.[Ren-Jie], Xu, C.[Chao], Shi, B.X.[Bo-Xin],
Neural Underwater Scene Representation,
CVPR24(11780-11789)
IEEE DOI 2410
Solid modeling, Visualization, Computational modeling, Urban areas, Lighting, Virtual reality, Neural radiance field, underwater, nerf BibRef

Li, X.J.[Xing-Jian], Park, J.[Jeremy], Reberg-Horton, C.[Chris], Mirsky, S.[Steven], Lobaton, E.[Edgar], Xiang, L.R.[Li-Rong],
Photorealistic Arm Robot Simulation for 3D Plant Reconstruction and Automatic Annotation using Unreal Engine 5,
AgriVision24(5480-5488)
IEEE DOI Code:
WWW Link. 2410
Image segmentation, Computational modeling, Neural radiance field, Manipulators, Image reconstruction, 3D Reconstruction BibRef

Dihlmann, J.N.[Jan-Niklas], Engelhardt, A.[Andreas], Lensch, H.[Hendrik],
SIGNeRF: Scene Integrated Generation for Neural Radiance Fields,
CVPR24(6679-6688)
IEEE DOI 2410
Geometry, Shape, Pipelines, Neural radiance field, Diffusion models, NeRF, Diffusion, 3D Generation, Generative Editing BibRef

Li, H.[Hao], Zhang, D.W.[Ding-Wen], Dai, Y.[Yalun], Liu, N.[Nian], Cheng, L.[Lechao], Li, J.[Jingfeng], Wang, J.D.[Jing-Dong], Han, J.W.[Jun-Wei],
GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding,
CVPR24(21708-21718)
IEEE DOI 2410
Instance segmentation, Visualization, Solid modeling, Semantic segmentation, Semantics, Neural radiance field, Distillation BibRef

Liu, Y.C.[Yi-Chen], Hu, B.[Benran], Tang, C.K.[Chi-Keung], Tai, Y.W.[Yu-Wing],
SANeRF-HQ: Segment Anything for NeRF in High Quality,
CVPR24(3216-3226)
IEEE DOI Code:
WWW Link. 2410
Location awareness, Solid modeling, Accuracy, Codes, Face recognition BibRef

Jeong, J.[Jinseo], Koo, J.[Junseo], Zhang, Q.[Qimeng], Kim, G.[Gunhee],
ESR-NeRF: Emissive Source Reconstruction Using LDR Multi-View Images,
CVPR24(4598-4609)
IEEE DOI 2410
Training, Image color analysis, Neural networks, Lighting, Dynamic range, Rendering (computer graphics), Reflection, NeRF, Inverse-rendering BibRef

Fischer, M.[Michael], Li, Z.Q.[Zheng-Qin], Nguyen-Phuoc, T.[Thu], Božic, A.[Aljaž], Dong, Z.[Zhao], Marshall, C.[Carl], Ritschel, T.[Tobias],
NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs,
CVPR24(4640-4650)
IEEE DOI 2410
Geometry, Visualization, Solid modeling, Semantics, Neural radiance field, Neural Radiance Fields, NeRFs, Semantic Correspondence BibRef

Min, Z.Y.[Zhi-Yuan], Luo, Y.[Yawei], Yang, W.[Wei], Wang, Y.[Yuesong], Yang, Y.[Yi],
Entangled View-Epipolar Information Aggregation for Generalizable Neural Radiance Fields,
CVPR24(4906-4916)
IEEE DOI Code:
WWW Link. 2410
Geometry, Codes, Accuracy, Aggregates, Neural radiance field BibRef

Liu, X.Y.[Xiang-Yue], Xue, H.[Han], Luo, K.M.[Kun-Ming], Tan, P.[Ping], Yi, L.[Li],
GenN2N: Generative NeRF2NeRF Translation,
CVPR24(5105-5114)
IEEE DOI Code:
WWW Link. 2410
Solid modeling, Codes, Superresolution, Gaussian distribution, Neural radiance field, Rendering (computer graphics), NeRF-to-NeRF Translation BibRef

Ma, Q.[Qi], Paudel, D.P.[Danda Pani], Chhatkuli, A.[Ajad], Van Gool, L.J.[Luc J.],
Continuous Pose for Monocular Cameras in Neural Implicit Representation,
CVPR24(5291-5301)
IEEE DOI Code:
WWW Link. 2410
Manifolds, Visualization, Simultaneous localization and mapping, Tracking, Cameras, Neural radiance field BibRef

Chen, H.H.[Hong-Hua], Loy, C.C.[Chen Change], Pan, X.G.[Xin-Gang],
MVIP-NeRF: Multi-View 3D Inpainting on NeRF Scenes via Diffusion Prior,
CVPR24(5344-5353)
IEEE DOI 2410
Geometry, Visualization, Solid modeling, Neural radiance field, Diffusion models BibRef

Zhu, L.[Lin], Jia, K.[Kangmin], Zhao, Y.F.[Yi-Fan], Qi, Y.[Yunshan], Wang, L.Z.[Li-Zhi], Huang, H.[Hua],
SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Stream,
CVPR24(6285-6295)
IEEE DOI Code:
WWW Link. 2410
Representation learning, Source coding, Lighting, Cameras, Neural radiance field, Rendering (computer graphics), Spike stream BibRef

Li, X.J.[Xiao-Juan], Zhang, D.X.[Ding-Xi], Chen, S.Y.[Shu-Yu], Liu, F.L.[Feng-Lin],
StrokeFaceNeRF: Stroke-Based Facial Appearance Editing in Neural Radiance Field,
CVPR24(7538-7547)
IEEE DOI 2410
Geometry, Training, Image color analysis, Semantic segmentation, Stroke (medical condition), Neural radiance field BibRef

Radl, L.[Lukas], Steiner, M.[Michael], Kurz, A.[Andreas], Steinberger, M.[Markus],
LAENeRF: Local Appearance Editing for Neural Radiance Fields,
CVPR24(4969-4978)
IEEE DOI 2410
Additives, Memory management, Color, Neural radiance field, Rendering (computer graphics), Neural Radiance Fields, Local Appearance Edting BibRef

Mazzucchelli, A.[Alessio], Garcia-Garcia, A.[Adrian], Garces, E.[Elena], Rivas-Manzaneque, F.[Fernando], Moreno-Noguer, F.[Francesc], Penate-Sanchez, A.[Adrian],
IReNe: Instant Recoloring of Neural Radiance Fields,
CVPR24(5937-5946)
IEEE DOI 2410
Training, Image segmentation, Image color analysis, Neurons, Neural radiance field, Real-time systems, NeRF, Editing in Neural Radiance Field BibRef

Poggi, M.[Matteo], Ramirez, P.Z.[Pierluigi Zama], Tosi, F.[Fabio], Salti, S.[Samuele], Mattoccia, S.[Stefano], di Stefano, L.[Luigi],
Cross-Spectral Neural Radiance Fields,
3DV22(606-616)
IEEE DOI 2408
Image sensors, Training, Image resolution, Sensitivity, Image color analysis, Lightning BibRef

Joung, B.[Byeongin], Lee, B.U.[Byeong-Uk], Choe, J.[Jaesung], Shin, U.[Ukcheol], Kang, M.[Minjun], Lee, T.[Taeyeop], Kweon, I.S.[In So], Yoon, K.J.[Kuk-Jin],
Stable Surface Regularization for Fast Few-Shot NeRF,
3DV24(1478-1487)
IEEE DOI 2408
Training, Geometry, Surface reconstruction, Annealing, Uncertainty, Structure from motion, Implicit surface reconstruction, Sparse and noisy views BibRef

Li, C.[Chaojian], Wu, B.[Bichen], Vajda, P.[Peter], Lin, Y.[Yingyan],
MixRT: Mixed Neural Representations For Real-Time NeRF Rendering,
3DV24(1115-1124)
IEEE DOI 2408
Geometry, Graphics, Runtime, Portable computers, Memory management, Rendering (computer graphics), Neural Radiance Fields, Real-Time Rendering BibRef

Yuan, S.[Shiran], Zhao, H.[Hao],
SlimmeRF: Slimmable Radiance Fields,
3DV24(64-74)
IEEE DOI Code:
WWW Link. 2408
Training, Computational modeling, Neural Radiance Fields (NeRFs), Low-Rank Tensor Approximation, Model Size-Performance Tradeoff, Memory Efficiency BibRef

Wang, Y.[Yida], Tan, D.J.[David Joseph], Navab, N.[Nassir], Tombari, F.[Federico],
RaNeuS: Ray-adaptive Neural Surface Reconstruction,
3DV24(53-63)
IEEE DOI Code:
WWW Link. 2408
Training, Surface reconstruction, Rendering (computer graphics), Surface fitting, Task analysis, Image reconstruction, NeRF BibRef

Rakotosaona, M.J.[Marie-Julie], Manhardt, F.[Fabian], Arroyo, D.M.[Diego Martin], Niemeyer, M.[Michael], Kundu, A.[Abhijit], Tombari, F.[Federico],
NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes,
3DV24(1156-1165)
IEEE DOI 2408
Training, Surface reconstruction, Solid modeling, Pipelines, Computer architecture, Rendering (computer graphics), NeRF, Surface Reconstruction BibRef

Deng, Y.M.[You-Ming], Li, X.T.[Xue-Ting], Liu, S.[Sifei], Yang, M.H.[Ming-Hsuan],
Physics-based Indirect Illumination for Inverse Rendering,
3DV24(1249-1258)
IEEE DOI Code:
WWW Link. 2408
Geometry, Solid modeling, Computational modeling, Source coding, Lighting, Predictive models, NeRF, Physics-based illumination BibRef

Ehret, T.[Thibaud], Marí, R.[Roger], Facciolo, G.[Gabriele],
A generic and flexible regularization framework for NeRFs,
WACV24(3076-3085)
IEEE DOI 2404
Geometry, Training, Deep learning, Buildings, Estimation, Algorithms, 3D computer vision BibRef

Abou-Chakra, J.[Jad], Dayoub, F.[Feras], Sünderhauf, N.[Niko],
ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields,
WACV24(5963-5972)
IEEE DOI Code:
WWW Link. 2404
Geometry, Visualization, Encoding, Vectors, Real-time systems, Physics, Applications, Robotics, Algorithms, 3D computer vision BibRef

Lin, C.Y.[Chien-Yu], Fu, Q.[Qichen], Merth, T.[Thomas], Yang, K.[Karren], Ranjan, A.[Anurag],
FastSR-NeRF: Improving NeRF Efficiency on Consumer Devices with A Simple Super-Resolution Pipeline,
WACV24(6024-6033)
IEEE DOI 2404
Training, Privacy, Portable computers, Computational modeling, Pipelines, Superresolution, Memory management, Applications, Virtual / augmented reality BibRef

Lee, B.[Byeonghyeon], Lee, H.[Howoong], Ali, U.[Usman], Park, E.[Eunbyung],
Sharp-NeRF: Grid-based Fast Deblurring Neural Radiance Fields using Sharpness Prior,
WACV24(3697-3706)
IEEE DOI Code:
WWW Link. 2404
Training, Degradation, Measurement, Visualization, Lighting, Rendering (computer graphics), Kernel, Algorithms, Image recognition and understanding BibRef

Wang, Y.F.[Yi-Fan], Gong, Y.[Yi], Zeng, Y.[Yuan],
Hyb-NeRF: A Multiresolution Hybrid Encoding for Neural Radiance Fields,
WACV24(3677-3686)
IEEE DOI 2404
Costs, Computational modeling, Memory management, Rendering (computer graphics), Data structures, Encoding, 3D computer vision BibRef

Zhang, H.[Hao], Li, F.[Fang], Ahuja, N.[Narendra],
Open-NeRF: Towards Open Vocabulary NeRF Decomposition,
WACV24(3444-3453)
IEEE DOI Code:
WWW Link. 2404
Vocabulary, Solid modeling, Codes, Proposals, Task analysis, Algorithms, 3D computer vision BibRef

Courant, R.[Robin], Wang, X.[Xi], Christie, M.[Marc], Kalogeiton, V.[Vicky],
BluNF: Blueprint Neural Field,
AI3DCC23(2870-2879)
IEEE DOI 2401
BibRef

Ju, J.H.[Ji-Hong], Tseng, C.W.[Ching-Wei], Bailo, O.[Oleksandr], Dikov, G.[Georgi], Ghafoorian, M.[Mohsen],
DG-Recon: Depth-Guided Neural 3D Scene Reconstruction,
ICCV23(18138-18148)
IEEE DOI 2401
BibRef

Hu, D.T.[Dong-Ting], Zhang, Z.K.[Zhen-Kai], Hou, T.B.[Ting-Bo], Liu, T.L.[Tong-Liang], Fu, H.[Huan], Gong, M.M.[Ming-Ming],
Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering,
ICCV23(17726-17737)
IEEE DOI 2401
BibRef

Feng, Z.Y.[Zi-Yue], Yang, L.[Liang], Guo, P.S.[Peng-Sheng], Li, B.[Bing],
CVRecon: Rethinking 3D Geometric Feature Learning For Neural Reconstruction,
ICCV23(17704-17714)
IEEE DOI Code:
WWW Link. 2401
BibRef

Wewer, C.[Christopher], Ilg, E.[Eddy], Schiele, B.[Bernt], Lenssen, J.E.[Jan Eric],
SimNP: Learning Self-Similarity Priors Between Neural Points,
ICCV23(8807-8818)
IEEE DOI 2401
BibRef

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Canonical Factors for Hybrid Neural Fields,
ICCV23(3391-3403)
IEEE DOI 2401
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Chen, Z.[Zhang], Li, Z.[Zhong], Song, L.C.[Liang-Chen], Chen, L.[Lele], Yu, J.Y.[Jing-Yi], Yuan, J.S.[Jun-Song], Xu, Y.[Yi],
NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions,
ICCV23(4159-4171)
IEEE DOI 2401
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Gu, J.[Jeffrey], Wang, K.C.[Kuan-Chieh], Yeung, S.[Serena],
Generalizable Neural Fields as Partially Observed Neural Processes,
ICCV23(5307-5316)
IEEE DOI 2401
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Feng, B.Y.[Brandon Y.], Alzayer, H.[Hadi], Rubinstein, M.[Michael], Freeman, W.T.[William T.], Huang, J.B.[Jia-Bin],
3D Motion Magnification: Visualizing Subtle Motions with Time-Varying Radiance Fields,
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IEEE DOI 2401
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Gao, Q.[Quankai], Xu, Q.[Qiangeng], Su, H.[Hao], Neumann, U.[Ulrich], Xu, Z.X.[Ze-Xiang],
Strivec: Sparse Tri-Vector Radiance Fields,
ICCV23(17523-17533)
IEEE DOI 2401
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Lee, D.[Dongwoo], Oh, J.[Jeongtaek], Rim, J.[Jaesung], Cho, S.[Sunghyun], Lee, K.M.[Kyoung Mu],
ExBluRF: Efficient Radiance Fields for Extreme Motion Blurred Images,
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IEEE DOI 2401
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Guizilini, V.[Vitor], Vasiljevic, I.[Igor], Fang, J.[Jiading], Ambrus, R.[Rares], Zakharov, S.[Sergey], Sitzmann, V.[Vincent], Gaidon, A.[Adrien],
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields,
ICCV23(17889-17899)
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WWW Link. 2401
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Xie, Z.[Zeke], Yang, X.[Xindi], Yang, Y.J.[Yu-Jie], Sun, Q.[Qi], Jiang, Y.X.[Yi-Xiang], Wang, H.R.[Hao-Ran], Cai, Y.F.[Yun-Feng], Sun, M.M.[Ming-Ming],
S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields,
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IEEE DOI 2401
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Hu, W.B.[Wen-Bo], Wang, Y.L.[Yu-Ling], Ma, L.[Lin], Yang, B.B.[Bang-Bang], Gao, L.[Lin], Liu, X.[Xiao], Ma, Y.W.[Yue-Wen],
Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields,
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Hamdi, A.[Abdullah], Ghanem, B.[Bernard], Nießner, M.[Matthias],
SPARF: Large-Scale Learning of 3D Sparse Radiance Fields from Few Input Images,
AI3DCC23(2922-2932)
IEEE DOI 2401
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Kerr, J.[Justin], Kim, C.M.[Chung Min], Goldberg, K.[Ken], Kanazawa, A.[Angjoo], Tancik, M.[Matthew],
LERF: Language Embedded Radiance Fields,
ICCV23(19672-19682)
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WWW Link. 2401
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Pang, H.W.[Hong-Wing], Hua, B.S.[Binh-Son], Yeung, S.K.[Sai-Kit],
Locally Stylized Neural Radiance Fields,
ICCV23(307-316)
IEEE DOI 2401
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Li, C.X.[Chen-Xin], Feng, B.Y.[Brandon Y.], Fan, Z.W.[Zhi-Wen], Pan, P.[Panwang], Wang, Z.Y.[Zhang-Yang],
StegaNeRF: Embedding Invisible Information within Neural Radiance Fields,
ICCV23(441-453)
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Gao, Z.L.[Ze-Lin], Dai, W.C.[Wei-Chen], Zhang, Y.[Yu],
Adaptive Positional Encoding for Bundle-Adjusting Neural Radiance Fields,
ICCV23(3261-3271)
IEEE DOI 2401
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Zhang, J.H.[Jia-Hui], Zhan, F.N.[Fang-Neng], Yu, Y.C.[Ying-Chen], Liu, K.[Kunhao], Wu, R.[Rongliang], Zhang, X.Q.[Xiao-Qin], Shao, L.[Ling], Lu, S.J.[Shi-Jian],
Pose-Free Neural Radiance Fields via Implicit Pose Regularization,
ICCV23(3511-3520)
IEEE DOI 2401
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Kumar, A.[Amandeep], Bhunia, A.K.[Ankan Kumar], Narayan, S.[Sanath], Cholakkal, H.[Hisham], Anwer, R.M.[Rao Muhammad], Khan, S.[Salman], Yang, M.H.[Ming-Hsuan], Khan, F.S.[Fahad Shahbaz],
Generative Multiplane Neural Radiance for 3D-Aware Image Generation,
ICCV23(7354-7364)
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WWW Link. 2401
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Zhang, J.Z.[Jun-Zhe], Lan, Y.S.[Yu-Shi], Yang, S.[Shuai], Hong, F.Z.[Fang-Zhou], Wang, Q.[Quan], Yeo, C.K.[Chai Kiat], Liu, Z.W.[Zi-Wei], Loy, C.C.[Chen Change],
DeformToon3d: Deformable Neural Radiance Fields for 3D Toonification,
ICCV23(9110-9120)
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Mirzaei, A.[Ashkan], Aumentado-Armstrong, T.[Tristan], Brubaker, M.A.[Marcus A.], Kelly, J.[Jonathan], Levinshtein, A.[Alex], Derpanis, K.G.[Konstantinos G.], Gilitschenski, I.[Igor],
Reference-guided Controllable Inpainting of Neural Radiance Fields,
ICCV23(17769-17779)
IEEE DOI 2401
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Chen, Y.[Yu], Lee, G.H.[Gim Hee],
DReg-NeRF: Deep Registration for Neural Radiance Fields,
ICCV23(22646-22656)
IEEE DOI Code:
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Po, R.[Ryan], Dong, Z.Y.[Zheng-Yang], Bergman, A.W.[Alexander W.], Wetzstein, G.[Gordon],
Instant Continual Learning of Neural Radiance Fields,
VCL23(3326-3336)
IEEE DOI 2401
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Horváth, A.[András], Józsa, C.M.[Csaba M.],
Targeted Adversarial Attacks on Generalizable Neural Radiance Fields,
AROW23(3720-3729)
IEEE DOI 2401
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Taioli, F.[Francesco], Cunico, F.[Federico], Girella, F.[Federico], Bologna, R.[Riccardo], Farinelli, A.[Alessandro], Cristani, M.[Marco],
Language-enhanced RNR-Map: Querying Renderable Neural Radiance Field maps with natural language,
VLAR23(4671-4676)
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Kim, H.[Hyunsu], Lee, G.[Gayoung], Choi, Y.[Yunjey], Kim, J.H.[Jin-Hwa], Zhu, J.Y.[Jun-Yan],
3D-aware Blending with Generative NeRFs,
ICCV23(22849-22861)
IEEE DOI 2401
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Li, Q.[Quewei], Li, F.[Feichao], Guo, J.[Jie], Guo, Y.[Yanwen],
UHDNeRF: Ultra-High-Definition Neural Radiance Fields,
ICCV23(23040-23051)
IEEE DOI 2401
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Cai, Z.P.[Zhi-Peng], Müller, M.[Matthias],
CLNeRF: Continual Learning Meets NeRF,
ICCV23(23128-23137)
IEEE DOI Code:
WWW Link. 2401
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Shahbazi, M.[Mohamad], Ntavelis, E.[Evangelos], Tonioni, A.[Alessio], Collins, E.[Edo], Paudel, D.P.[Danda Pani], Danelljan, M.[Martin], Van Gool, L.J.[Luc J.],
NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions,
AI3DCC23(2880-2890)
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Cohen-Bar, D.[Dana], Richardson, E.[Elad], Metzer, G.[Gal], Giryes, R.[Raja], Cohen-Or, D.[Daniel],
Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes,
AI3DCC23(2912-2921)
IEEE DOI 2401
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Gordon, O.[Ori], Avrahami, O.[Omri], Lischinski, D.[Dani],
Blended-NeRF: Zero-Shot Object Generation and Blending in Existing Neural Radiance Fields,
AI3DCC23(2933-2943)
IEEE DOI 2401
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Kumar, M.[Moneish], Panse, N.[Neeraj], Lahiri, D.[Dishani],
S2RF: Semantically Stylized Radiance Fields,
AI3DCC23(2944-2949)
IEEE DOI 2401
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Liu, X.Y.[Xin-Yang], Li, Y.J.[Yi-Jin], Teng, Y.[Yanbin], Bao, H.J.[Hu-Jun], Zhang, G.F.[Guo-Feng], Zhang, Y.[Yinda], Cui, Z.P.[Zhao-Peng],
Multi-Modal Neural Radiance Field for Monocular Dense SLAM with a Light-Weight ToF Sensor,
ICCV23(1-11)
IEEE DOI Code:
WWW Link. 2401
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Liu, Y.C.[Yi-Chen], Hu, B.[Benran], Huang, J.[Junkai], Tai, Y.W.[Yu-Wing], Tang, C.K.[Chi-Keung],
Instance Neural Radiance Field,
ICCV23(787-796)
IEEE DOI Code:
WWW Link. 2401
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Chen, H.S.[Han-Sheng], Gu, J.[Jiatao], Chen, A.[Anpei], Tian, W.[Wei], Tu, Z.W.[Zhuo-Wen], Liu, L.J.[Ling-Jie], Su, H.[Hao],
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction,
ICCV23(2416-2425)
IEEE DOI 2401
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Cong, W.[Wenyan], Liang, H.X.[Han-Xue], Wang, P.H.[Pei-Hao], Fan, Z.W.[Zhi-Wen], Chen, T.L.[Tian-Long], Varma, M.[Mukund], Wang, Y.[Yi], Wang, Z.Y.[Zhang-Yang],
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ICCV23(3170-3181)
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Xie, X.F.[Xiu-Feng], Gherardi, R.[Riccardo], Pan, Z.H.[Zhi-Hong], Huang, S.[Stephen],
HollowNeRF: Pruning Hashgrid-Based NeRFs with Trainable Collision Mitigation,
ICCV23(3457-3467)
IEEE DOI 2401
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Lee, J.H.[Jae-Hyeok], Kim, D.S.[Dae-Shik],
ICE-NeRF: Interactive Color Editing of NeRFs via Decomposition-Aware Weight Optimization,
ICCV23(3468-3478)
IEEE DOI 2401
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Ma, Q.[Qi], Paudel, D.P.[Danda Pani], Chhatkuli, A.[Ajad], Van Gool, L.J.[Luc J.],
Deformable Neural Radiance Fields using RGB and Event Cameras,
ICCV23(3567-3577)
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WWW Link. 2401
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Rojas, S.[Sara], Zarzar, J.[Jesus], Pérez, J.C.[Juan C.], Sanakoyeu, A.[Artsiom], Thabet, A.[Ali], Pumarola, A.[Albert], Ghanem, B.[Bernard],
Re-ReND: Real-time Rendering of NeRFs across Devices,
ICCV23(3609-3618)
IEEE DOI 2401
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Hu, S.K.[Shou-Kang], Hong, F.Z.[Fang-Zhou], Pan, L.[Liang], Mei, H.[Haiyi], Yang, L.[Lei], Liu, Z.W.[Zi-Wei],
SHERF: Generalizable Human NeRF from a Single Image,
ICCV23(9318-9330)
IEEE DOI Code:
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Cao, A.Q.[Anh-Quan], de Charette, R.[Raoul],
SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields,
ICCV23(9353-9364)
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Wang, H.Y.[Hao-Yuan], Xu, X.G.[Xiao-Gang], Xu, K.[Ke], Lau, R.W.H.[Rynson W.H.],
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ICCV23(12598-12607)
IEEE DOI 2401
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Dhiman, A.[Ankit], Srinath, R., Rangwani, H.[Harsh], Parihar, R.[Rishubh], Boregowda, L.R.[Lokesh R.], Sridhar, S.[Srinath], Babu, R.V.[R. Venkatesh],
Strata-NeRF : Neural Radiance Fields for Stratified Scenes,
ICCV23(17557-17568)
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WWW Link. 2401
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Tang, J.X.[Jia-Xiang], Zhou, H.[Hang], Chen, X.K.[Xiao-Kang], Hu, T.S.[Tian-Shu], Ding, E.[Errui], Wang, J.D.[Jing-Dong], Zeng, G.[Gang],
Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement,
ICCV23(17693-17703)
IEEE DOI 2401
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Chang, M.F.[Ming-Fang], Sharma, A.[Akash], Kaess, M.[Michael], Lucey, S.[Simon],
Neural Radiance Fields with LiDAR Maps,
ICCV23(17868-17877)
IEEE DOI 2401
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Xie, B.[Baao], Li, B.[Bohan], Zhang, Z.Q.[Ze-Qun], Dong, J.T.[Jun-Ting], Jin, X.[Xin], Yang, J.Y.[Jing-Yu], Zeng, W.J.[Wen-Jun],
NaviNeRF: NeRF-based 3D Representation Disentanglement by Latent Semantic Navigation,
ICCV23(17946-17956)
IEEE DOI 2401
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Xu, M.[Muyu], Zhan, F.N.[Fang-Neng], Zhang, J.[Jiahui], Yu, Y.C.[Ying-Chen], Zhang, X.Q.[Xiao-Qin], Theobalt, C.[Christian], Shao, L.[Ling], Lu, S.J.[Shi-Jian],
WaveNeRF: Wavelet-based Generalizable Neural Radiance Fields,
ICCV23(18149-18158)
IEEE DOI 2401
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Cheng, Z.[Zezhou], Esteves, C.[Carlos], Jampani, V.[Varun], Kar, A.[Abhishek], Maji, S.[Subhransu], Makadia, A.[Ameesh],
LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs,
ICCV23(18266-18275)
IEEE DOI 2401
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Low, W.F.[Weng Fei], Lee, G.H.[Gim Hee],
Robust e-NeRF: NeRF from Sparse & Noisy Events under Non-Uniform Motion,
ICCV23(18289-18300)
IEEE DOI 2401
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Zhan, Y.F.[Yi-Fan], Nobuhara, S.[Shohei], Nishino, K.[Ko], Zheng, Y.Q.[Yin-Qiang],
NeRFrac: Neural Radiance Fields through Refractive Surface,
ICCV23(18356-18366)
IEEE DOI Code:
WWW Link. 2401
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Kulhanek, J.[Jonas], Sattler, T.[Torsten],
Tetra-NeRF: Representing Neural Radiance Fields Using Tetrahedra,
ICCV23(18412-18423)
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WWW Link. 2401
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Li, R.L.[Rui-Long], Gao, H.[Hang], Tancik, M.[Matthew], Kanazawa, A.[Angjoo],
NerfAcc: Efficient Sampling Accelerates NeRFs,
ICCV23(18491-18500)
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WWW Link. 2401
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Li, P.H.[Pei-Hao], Wang, S.H.[Shao-Hui], Yang, C.[Chen], Liu, B.B.[Bing-Bing], Qiu, W.C.[Wei-Chao], Wang, H.Q.[Hao-Qian],
NeRF-MS: Neural Radiance Fields with Multi-Sequence,
ICCV23(18545-18554)
IEEE DOI Code:
WWW Link. 2401
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Chen, Z.X.[Zi-Xuan], Yang, L.X.[Ling-Xiao], Lai, J.H.[Jian-Huang], Xie, X.H.[Xiao-Hua],
CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super Resolution,
ICCV23(21128-21138)
IEEE DOI 2401
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Qi, Y.S.[Yun-Shan], Zhu, L.[Lin], Zhang, Y.[Yu], Li, J.[Jia],
E2NeRF: Event Enhanced Neural Radiance Fields from Blurry Images,
ICCV23(13208-13218)
IEEE DOI Code:
WWW Link. 2401
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Ye, J.L.[Jiang-Long], Wang, N.[Naiyan], Wang, X.L.[Xiao-Long],
FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models,
ICCV23(8928-8939)
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di Sario, F.[Francesco], Renzulli, R.[Riccardo], Tartaglione, E.[Enzo], Grangetto, M.[Marco],
Two is Better than One: Achieving High-quality 3d Scene Modeling with a NeRF Ensemble,
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Bortolon, M.[Matteo], del Bue, A.[Alessio], Poiesi, F.[Fabio],
VM-NERF: Tackling Sparsity in NeRF with View Morphing,
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Choudhury, A.[Anustup], Su, G.M.[Guan-Ming],
Neural Field Real-Time Transmission Using Multiple Description Coding with Random Position Sampling,
ICIP23(630-634)
IEEE DOI 2312
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Aoki, H.[Hinata], Yamanaka, T.[Takao],
Improving NERF with Height Data for Utilization of GIS Data,
ICIP23(935-939)
IEEE DOI 2312
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Huang, Y.S.[Yu-Shan], Huang, S.Y.[Sheng-Yu], Hsu, H.Y.[Hao-Yu], Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
Interpreting Latent Representation in Neural Radiance Fields for Manipulating Object Semantics,
ICIP23(470-474)
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Li, Q.[Qian], Multon, F.[Franck], Boukhayma, A.[Adnane],
Regularizing Neural Radiance Fields from Sparse RGB-D Inputs,
ICIP23(2320-2324)
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Ito, S.[Shintaro], Miura, K.[Kanta], Ito, K.[Koichi], Aoki, T.[Takafumi],
Depth Map Estimation from Multi-View Images with NERF-Based Refinement,
ICIP23(2955-2959)
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Mercier, A.[Antoine], Erasmus, R.[Ruan], Savani, Y.[Yashesh], Dhingra, M.[Manik], Porikli, F.M.[Fatih M.], Berger, G.[Guillaume],
Efficient neural supersampling on a novel gaming dataset,
ICCV23(296-306)
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Liang, R.F.[Ruo-Fan], Chen, H.T.[Hui-Ting], Li, C.L.[Chun-Lin], Chen, F.[Fan], Panneer, S.[Selvakumar], Vijaykumar, N.[Nandita],
ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting,
ICCV23(79-89)
IEEE DOI 2401
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Jin, H.[Haian], Liu, I.[Isabella], Xu, P.[Peijia], Zhang, X.S.[Xiao-Shuai], Han, S.F.[Song-Fang], Bi, S.[Sai], Zhou, X.W.[Xiao-Wei], Xu, Z.X.[Ze-Xiang], Su, H.[Hao],
TensoIR: Tensorial Inverse Rendering,
CVPR23(165-174)
IEEE DOI 2309
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Müller, N.[Norman], Siddiqui, Y.[Yawar], Porzi, L.[Lorenzo], Bulò, S.R.[Samuel Rota], Kontschieder, P.[Peter], Nießner, M.[Matthias],
DiffRF: Rendering-Guided 3D Radiance Field Diffusion,
CVPR23(4328-4338)
IEEE DOI 2309
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Zhu, C.X.[Cheng-Xuan], Wan, R.J.[Ren-Jie], Tang, Y.K.[Yun-Kai], Shi, B.X.[Bo-Xin],
Occlusion-Free Scene Recovery via Neural Radiance Fields,
CVPR23(20722-20731)
IEEE DOI 2309
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Rho, D.[Daniel], Lee, B.[Byeonghyeon], Nam, S.[Seungtae], Lee, J.C.[Joo Chan], Ko, J.H.[Jong Hwan], Park, E.[Eunbyung],
Masked Wavelet Representation for Compact Neural Radiance Fields,
CVPR23(20680-20690)
IEEE DOI 2309
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Zhang, Z.C.[Zi-Cheng], Liu, Y.[Yinglu], Han, C.Y.[Cong-Ying], Pan, Y.W.[Ying-Wei], Guo, T.D.[Tian-De], Yao, T.[Ting],
Transforming Radiance Field with Lipschitz Network for Photorealistic 3D Scene Stylization,
CVPR23(20712-20721)
IEEE DOI 2309
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Truong, P.[Prune], Rakotosaona, M.J.[Marie-Julie], Manhardt, F.[Fabian], Tombari, F.[Federico],
SPARF: Neural Radiance Fields from Sparse and Noisy Poses,
CVPR23(4190-4200)
IEEE DOI 2309
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Goel, R.[Rahul], Sirikonda, D.[Dhawal], Saini, S.[Saurabh], Narayanan, P.J.[P J],
Interactive Segmentation of Radiance Fields,
CVPR23(4201-4211)
IEEE DOI 2309
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Li, L.Z.[Ling-Zhi], Shen, Z.[Zhen], Wang, Z.S.[Zhong-Shu], Shen, L.[Li], Bo, L.F.[Lie-Feng],
Compressing Volumetric Radiance Fields to 1 MB,
CVPR23(4222-4231)
IEEE DOI 2309
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Dave, A.[Akshat], Zhao, Y.Y.[Yong-Yi], Veeraraghavan, A.[Ashok],
PANDORA: Polarization-Aided Neural Decomposition of Radiance,
ECCV22(VII:538-556).
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Pavllo, D.[Dario], Tan, D.J.[David Joseph], Rakotosaona, M.J.[Marie-Julie], Tombari, F.[Federico],
Shape, Pose, and Appearance from a Single Image via Bootstrapped Radiance Field Inversion,
CVPR23(4391-4401)
IEEE DOI 2309
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Xu, L.N.[Lin-Ning], Xiangli, Y.B.[Yuan-Bo], Peng, S.[Sida], Pan, X.G.[Xin-Gang], Zhao, N.X.[Nan-Xuan], Theobalt, C.[Christian], Dai, B.[Bo], Lin, D.[Dahua],
Grid-guided Neural Radiance Fields for Large Urban Scenes,
CVPR23(8296-8306)
IEEE DOI 2309
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Cao, J.L.[Jun-Li], Wang, H.[Huan], Chemerys, P.[Pavlo], Shakhrai, V.[Vladislav], Hu, J.[Ju], Fu, Y.[Yun], Makoviichuk, D.[Denys], Tulyakov, S.[Sergey], Ren, J.[Jian],
Real-Time Neural Light Field on Mobile Devices,
CVPR23(8328-8337)
IEEE DOI 2309
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Son, M.[Minjung], Park, J.J.[Jeong Joon], Guibas, L.J.[Leonidas J.], Wetzstein, G.[Gordon],
SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene,
CVPR23(8507-8517)
IEEE DOI 2309
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Kwon, O.[Obin], Park, J.[Jeongho], Oh, S.H.[Song-Hwai],
Renderable Neural Radiance Map for Visual Navigation,
CVPR23(9099-9108)
IEEE DOI 2309
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Yin, Z.X.[Ze-Xin], Qiu, J.X.[Jia-Xiong], Cheng, M.M.[Ming-Ming], Ren, B.[Bo],
Multi-Space Neural Radiance Fields,
CVPR23(12407-12416)
IEEE DOI 2309
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Li, Z.[Zhen], Wang, L.[Lingli], Cheng, M.[Mofang], Pan, C.[Cihui], Yang, J.Q.[Jia-Qi],
Multi-view Inverse Rendering for Large-scale Real-world Indoor Scenes,
CVPR23(12499-12509)
IEEE DOI 2309
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Jiang, S.[Suyi], Jiang, H.R.[Hao-Ran], Wang, Z.Y.[Zi-Yu], Luo, H.M.[Hai-Min], Chen, W.Z.[Wen-Zheng], Xu, L.[Lan],
HumanGen: Generating Human Radiance Fields with Explicit Priors,
CVPR23(12543-12554)
IEEE DOI 2309
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Weder, S.[Silvan], Garcia-Hernando, G.[Guillermo], Monszpart, Á.[Áron], Pollefeys, M.[Marc], Brostow, G.[Gabriel], Firman, M.[Michael], Vicente, S.[Sara],
Removing Objects From Neural Radiance Fields,
CVPR23(16528-16538)
IEEE DOI 2309
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Peters, H.[Henry], Ba, Y.H.[Yun-Hao], Kadambi, A.[Achuta],
pCON: Polarimetric Coordinate Networks for Neural Scene Representations,
CVPR23(16579-16589)
IEEE DOI 2309
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Wang, X.[Xi], Courant, R.[Robin], Shi, J.L.[Jing-Lei], Marchand, E.[Eric], Christie, M.[Marc],
JAWS: Just A Wild Shot for Cinematic Transfer in Neural Radiance Fields,
CVPR23(16933-16942)
IEEE DOI 2309
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Mirzaei, A.[Ashkan], Aumentado-Armstrong, T.[Tristan], Derpanis, K.G.[Konstantinos G.], Kelly, J.[Jonathan], Brubaker, M.A.[Marcus A.], Gilitschenski, I.[Igor], Levinshtein, A.[Alex],
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields,
CVPR23(20669-20679)
IEEE DOI 2309
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Tiwary, K.[Kushagra], Dave, A.[Akshat], Behari, N.[Nikhil], Klinghoffer, T.[Tzofi], Veeraraghavan, A.[Ashok], Raskar, R.[Ramesh],
ORCa: Glossy Objects as Radiance-Field Cameras,
CVPR23(20773-20782)
IEEE DOI 2309
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Wang, K.[Kangkan], Zhang, G.F.[Guo-Feng], Cong, S.[Suxu], Yang, J.[Jian],
Clothed Human Performance Capture with a Double-layer Neural Radiance Fields,
CVPR23(21098-21107)
IEEE DOI 2309
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Xu, S.[Shiyao], Li, L.Z.[Ling-Zhi], Shen, L.[Li], Lian, Z.H.[Zhou-Hui],
DeSRF: Deformable Stylized Radiance Field,
GCV23(709-718)
IEEE DOI 2309
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Rivas-Manzaneque, F.[Fernando], Sierra-Acosta, J.[Jorge], Penate-Sanchez, A.[Adrian], Moreno-Noguer, F.[Francesc], Ribeiro, A.[Angela],
NeRFLight: Fast and Light Neural Radiance Fields using a Shared Feature Grid,
CVPR23(12417-12427)
IEEE DOI 2309
BibRef

Lee, D.[Dogyoon], Lee, M.[Minhyeok], Shin, C.[Chajin], Lee, S.Y.[Sang-Youn],
DP-NeRF: Deblurred Neural Radiance Field with Physical Scene Priors,
CVPR23(12386-12396)
IEEE DOI 2309
BibRef

Zhang, X.S.[Xiao-Shuai], Kundu, A.[Abhijit], Funkhouser, T.[Thomas], Guibas, L.J.[Leonidas J.], Su, H.[Hao], Genova, K.[Kyle],
Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision,
CVPR23(8274-8284)
IEEE DOI 2309
BibRef

Rudnev, V.[Viktor], Elgharib, M.[Mohamed], Theobalt, C.[Christian], Golyanik, V.[Vladislav],
EventNeRF: Neural Radiance Fields from a Single Colour Event Camera,
CVPR23(4992-5002)
IEEE DOI 2309
BibRef

Wang, P.[Peng], Liu, Y.[Yuan], Chen, Z.X.[Zhao-Xi], Liu, L.J.[Ling-Jie], Liu, Z.W.[Zi-Wei], Komura, T.[Taku], Theobalt, C.[Christian], Wang, W.P.[Wen-Ping],
F2-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories,
CVPR23(4150-4159)
IEEE DOI 2309
BibRef

Bian, W.J.[Wen-Jing], Wang, Z.[Zirui], Li, K.[Kejie], Bian, J.W.[Jia-Wang],
NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior,
CVPR23(4160-4169)
IEEE DOI 2309
BibRef

Wang, P.[Peng], Zhao, L.Z.[Ling-Zhe], Ma, R.J.[Rui-Jie], Liu, P.[Peidong],
BAD-NeRF: Bundle Adjusted Deblur Neural Radiance Fields,
CVPR23(4170-4179)
IEEE DOI 2309
BibRef

Wynn, J.[Jamie], Turmukhambetov, D.[Daniyar],
DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models,
CVPR23(4180-4189)
IEEE DOI 2309
BibRef

Tosi, F.[Fabio], Tonioni, A.[Alessio], de Gregorio, D.[Daniele], Poggi, M.[Matteo],
NeRF-Supervised Deep Stereo,
CVPR23(855-866)
IEEE DOI 2309
BibRef

Yin, Y.[Yu], Ghasedi, K.[Kamran], Wu, H.[HsiangTao], Yang, J.L.[Jiao-Long], Tong, X.[Xin], Fu, Y.[Yun],
NeRFInvertor: High Fidelity NeRF-GAN Inversion for Single-Shot Real Image Animation,
CVPR23(8539-8548)
IEEE DOI 2309
BibRef

Wang, C.Y.[Chao-Yang], MacDonald, L.E.[Lachlan Ewen], Jeni, L.A.[Laszlo A.], Lucey, S.[Simon],
Flow Supervision for Deformable NeRF,
CVPR23(21128-21137)
IEEE DOI 2309
BibRef

Guo, Z.Y.[Zhi-Yang], Zhou, W.G.[Wen-Gang], Wang, M.[Min], Li, L.[Li], Li, H.Q.[Hou-Qiang],
HandNeRF: Neural Radiance Fields for Animatable Interacting Hands,
CVPR23(21078-21087)
IEEE DOI 2309
BibRef

Li, S.C.[Si-Cheng], Li, H.[Hao], Wang, Y.[Yue], Liao, Y.[Yiyi], Yu, L.[Lu],
SteerNeRF: Accelerating NeRF Rendering via Smooth Viewpoint Trajectory,
CVPR23(20701-20711)
IEEE DOI 2309
BibRef

Chen, J.C.[Jian-Chuan], Yi, W.T.[Wen-Tao], Ma, L.Q.[Li-Qian], Jia, X.[Xu], Lu, H.C.[Hu-Chuan],
GM-NeRF: Learning Generalizable Model-Based Neural Radiance Fields from Multi-View Images,
CVPR23(20648-20658)
IEEE DOI 2309
BibRef

Sabour, S.[Sara], Vora, S.[Suhani], Duckworth, D.[Daniel], Krasin, I.[Ivan], Fleet, D.J.[David J.], Tagliasacchi, A.[Andrea],
RobustNeRF: Ignoring Distractors with Robust Losses,
CVPR23(20626-20636)
IEEE DOI 2309
BibRef

Chen, Z.Q.[Zhi-Qin], Funkhouser, T.[Thomas], Hedman, P.[Peter], Tagliasacchi, A.[Andrea],
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures,
CVPR23(16569-16578)
IEEE DOI 2309
BibRef

Tang, Z.J.[Zhe Jun], Cham, T.J.[Tat-Jen], Zhao, H.[Haiyu],
ABLE-NeRF: Attention-Based Rendering with Learnable Embeddings for Neural Radiance Field,
CVPR23(16559-16568)
IEEE DOI 2309
BibRef

Uy, M.A.[Mikaela Angelina], Martin-Brualla, R.[Ricardo], Guibas, L.J.[Leonidas J.], Li, K.[Ke],
SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates,
CVPR23(16518-16527)
IEEE DOI 2309
BibRef

Xu, X.M.[Xiao-Meng], Yang, Y.C.[Yan-Chao], Mo, K.C.[Kai-Chun], Pan, B.X.[Bo-Xiao], Yi, L.[Li], Guibas, L.J.[Leonidas J.],
JacobiNeRF: NeRF Shaping with Mutual Information Gradients,
CVPR23(16498-16507)
IEEE DOI 2309
BibRef

Metzer, G.[Gal], Richardson, E.[Elad], Patashnik, O.[Or], Giryes, R.[Raja], Cohen-Or, D.[Daniel],
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures,
CVPR23(12663-12673)
IEEE DOI 2309
BibRef

Saeed, F.[Farah], Sun, J.[Jin], Ozias-Akins, P.[Peggy], Chu, Y.J.[Ye Juliet], Li, C.Y.C.[Chang-Ying Charlie],
PeanutNeRF: 3D Radiance Field for Peanuts,
AgriVision23(6254-6263)
IEEE DOI 2309
BibRef

Nguyen, N.P.[Nguyen P.], Surya, R.[Ramakrishna], Calyam, P.[Prasad], Palaniappan, K.[Kannappan], Maschmann, M.[Matthew], Bunyak, F.[Filiz],
CNT-NeRF: Carbon Nanotube Forest Depth Layer Decomposition in SEM Imagery using Generative Adversarial Networks,
LightField23(3428-3437)
IEEE DOI 2309
BibRef

Marí, R.[Roger], Facciolo, G.[Gabriele], Ehret, T.[Thibaud],
Multi-Date Earth Observation NeRF: The Detail Is in the Shadows,
EarthVision23(2035-2045)
IEEE DOI 2309
BibRef

Hu, B.[Benran], Huang, J.[Junkai], Liu, Y.C.[Yi-Chen], Tai, Y.W.[Yu-Wing], Tang, C.K.[Chi-Keung],
NeRF-RPN: A general framework for object detection in NeRFs,
CVPR23(23528-23538)
IEEE DOI 2309
BibRef

Bao, C.[Chong], Zhang, Y.D.[Yin-Da], Yang, B.B.[Bang-Bang], Fan, T.X.[Tian-Xing], Yang, Z.[Zesong], Bao, H.J.[Hu-Jun], Zhang, G.F.[Guo-Feng], Cui, Z.P.[Zhao-Peng],
SINE: Semantic-driven Image-based NeRF Editing with Prior-guided Editing Field,
CVPR23(20919-20929)
IEEE DOI 2309
BibRef

Chen, J.K.[Jun-Kun], Lyu, J.P.[Ji-Peng], Wang, Y.X.[Yu-Xiong],
NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds,
CVPR23(12439-12448)
IEEE DOI 2309
BibRef

Prinzler, M.[Malte], Hilliges, O.[Otmar], Thies, J.[Justus],
DINER: Depth-aware Image-based NEural Radiance fields,
CVPR23(12449-12459)
IEEE DOI 2309
BibRef

Fridovich-Keil, S.[Sara], Meanti, G.[Giacomo], Warburg, F.R.[Frederik Rahbæk], Recht, B.[Benjamin], Kanazawa, A.[Angjoo],
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance,
CVPR23(12479-12488)
IEEE DOI 2309
BibRef

Chen, Y.[Yu], Lee, G.H.[Gim Hee],
DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields,
CVPR23(24-34)
IEEE DOI 2309
BibRef

Chen, Y.[Yue], Chen, X.Y.[Xing-Yu], Wang, X.[Xuan], Zhang, Q.[Qi], Guo, Y.[Yu], Shan, Y.[Ying], Wang, F.[Fei],
Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields,
CVPR23(8264-8273)
IEEE DOI 2309
BibRef

Zhu, B.F.[Bing-Fan], Yang, Y.C.[Yan-Chao], Wang, X.L.[Xu-Long], Zheng, Y.Y.[You-Yi], Guibas, L.J.[Leonidas J.],
VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization,
CVPR23(35-45)
IEEE DOI 2309
BibRef

Jiang, Y.F.[Yi-Fan], Hedman, P.[Peter], Mildenhall, B.[Ben], Xu, D.[Dejia], Barron, J.T.[Jonathan T.], Wang, Z.Y.[Zhang-Yang], Xue, T.F.[Tian-Fan],
AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training,
CVPR23(46-55)
IEEE DOI 2309
BibRef

Levy, D.[Deborah], Peleg, A.[Amit], Pearl, N.[Naama], Rosenbaum, D.[Dan], Akkaynak, D.[Derya], Korman, S.[Simon], Treibitz, T.[Tali],
SeaThru-NeRF: Neural Radiance Fields in Scattering Media,
CVPR23(56-65)
IEEE DOI 2309
BibRef

Isaac-Medina, B.K.S.[Brian K. S.], Willcocks, C.G.[Chris G.], Breckon, T.P.[Toby P.],
Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields,
CVPR23(66-75)
IEEE DOI 2309
BibRef

Yan, H.[Han], Liu, C.[Celong], Ma, C.[Chao], Mei, X.[Xing],
Plen-VDB: Memory Efficient VDB-Based Radiance Fields for Fast Training and Rendering,
CVPR23(88-96)
IEEE DOI 2309
BibRef

Huang, X.[Xin], Zhang, Q.[Qi], Feng, Y.[Ying], Li, X.Y.[Xiao-Yu], Wang, X.[Xuan], Wang, Q.[Qing],
Local Implicit Ray Function for Generalizable Radiance Field Representation,
CVPR23(97-107)
IEEE DOI 2309
BibRef

Gao, Y.M.[Yi-Ming], Cao, Y.P.[Yan-Pei], Shan, Y.[Ying],
SurfelNeRF: Neural Surfel Radiance Fields for Online Photorealistic Reconstruction of Indoor Scenes,
CVPR23(108-118)
IEEE DOI 2309
BibRef

Wang, Z.[Zian], Chen, W.Z.[Wen-Zheng], Acuna, D.[David], Kautz, J.[Jan], Fidler, S.[Sanja],
Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion,
ECCV22(II:380-397).
Springer DOI 2211
BibRef

Jun-Seong, K.[Kim], Yu-Ji, K.[Kim], Ye-Bin, M.[Moon], Oh, T.H.[Tae-Hyun],
HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields,
ECCV22(XXXII:384-401).
Springer DOI 2211
BibRef

Wang, Y.X.[Yun-Xiao], Li, Y.J.[Yan-Jie], Liu, P.D.[Pei-Dong], Dai, T.[Tao], Xia, S.T.[Shu-Tao],
NeXT: Towards High Quality Neural Radiance Fields via Multi-skip Transformer,
ECCV22(XXXII:69-86).
Springer DOI 2211
BibRef

Mirzaei, A.[Ashkan], Kant, Y.[Yash], Kelly, J.[Jonathan], Gilitschenski, I.[Igor],
LaTeRF: Label and Text Driven Object Radiance Fields,
ECCV22(III:20-36).
Springer DOI 2211
BibRef

Rebain, D.[Daniel], Matthews, M.[Mark], Yi, K.M.[Kwang Moo], Lagun, D.[Dmitry], Tagliasacchi, A.[Andrea],
LOLNeRF: Learn from One Look,
CVPR22(1548-1557)
IEEE DOI 2210
Training, Geometry, Solid modeling, Costs, Shape, Data models, 3D from single images, Face and gestures, Vision+graphics BibRef

Zhao, F.Q.[Fu-Qiang], Yang, W.[Wei], Zhang, J.[Jiakai], Lin, P.[Pei], Zhang, Y.[Yingliang], Yu, J.Y.[Jing-Yi], Xu, L.[Lan],
HumanNeRF: Efficiently Generated Human Radiance Field from Sparse Inputs,
CVPR22(7733-7743)
IEEE DOI 2210
Training, Telepresence, Dynamics, Entertainment industry, Rendering (computer graphics), Cameras, Pose estimation and tracking BibRef

Chen, A.[Anpei], Xu, Z.X.[Ze-Xiang], Geiger, A.[Andreas], Yu, J.Y.[Jing-Yi], Su, H.[Hao],
TensoRF: Tensorial Radiance Fields,
ECCV22(XXXII:333-350).
Springer DOI 2211
BibRef

Shen, J.X.[Jian-Xiong], Agudo, A.[Antonio], Moreno-Noguer, F.[Francesc], Ruiz, A.[Adria],
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification,
ECCV22(III:540-557).
Springer DOI 2211
BibRef

Xiangli, Y.B.[Yuan-Bo], Xu, L.N.[Lin-Ning], Pan, X.G.[Xin-Gang], Zhao, N.X.[Nan-Xuan], Rao, A.[Anyi], Theobalt, C.[Christian], Dai, B.[Bo], Lin, D.[Dahua],
BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering,
ECCV22(XXXII:106-122).
Springer DOI 2211
BibRef

Zhuang, Y.[Yiyu], Zhu, H.[Hao], Sun, X.[Xusen], Cao, X.[Xun],
MoFaNeRF: Morphable Facial Neural Radiance Field,
ECCV22(III:268-285).
Springer DOI 2211
BibRef

Zhang, K.[Kai], Kolkin, N.[Nick], Bi, S.[Sai], Luan, F.[Fujun], Xu, Z.X.[Ze-Xiang], Shechtman, E.[Eli], Snavely, N.[Noah],
ARF: Artistic Radiance Fields,
ECCV22(XXXI:717-733).
Springer DOI 2211
BibRef

Xu, T.[Tianhan], Harada, T.[Tatsuya],
Deforming Radiance Fields with Cages,
ECCV22(XXXIII:159-175).
Springer DOI 2211
BibRef

Chng, S.F.[Shin-Fang], Ramasinghe, S.[Sameera], Sherrah, J.[Jamie], Lucey, S.[Simon],
Gaussian Activated Neural Radiance Fields for High Fidelity Reconstruction and Pose Estimation,
ECCV22(XXXIII:264-280).
Springer DOI 2211
BibRef

Kurz, A.[Andreas], Neff, T.[Thomas], Lv, Z.Y.[Zhao-Yang], Zollhöfer, M.[Michael], Steinberger, M.[Markus],
AdaNeRF: Adaptive Sampling for Real-Time Rendering of Neural Radiance Fields,
ECCV22(XVII:254-270).
Springer DOI 2211
BibRef

Chen, D.[Di], Liu, Y.[Yu], Huang, L.[Lianghua], Wang, B.[Bin], Pan, P.[Pan],
GeoAug: Data Augmentation for Few-Shot NeRF with Geometry Constraints,
ECCV22(XVII:322-337).
Springer DOI 2211
BibRef

Chen, Y.D.[Yue-Dong], Wu, Q.Y.[Qian-Yi], Zheng, C.X.[Chuan-Xia], Cham, T.J.[Tat-Jen], Cai, J.F.[Jian-Fei],
Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance Fields,
ECCV22(XIV:730-748).
Springer DOI 2211
BibRef

Xu, D.[Dejia], Jiang, Y.F.[Yi-Fan], Wang, P.H.[Pei-Hao], Fan, Z.W.[Zhi-Wen], Shi, H.[Humphrey], Wang, Z.Y.[Zhang-Yang],
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image,
ECCV22(XXII:736-753).
Springer DOI 2211
BibRef

Chen, M.F.[Ming-Fei], Zhang, J.F.[Jian-Feng], Xu, X.Y.[Xiang-Yu], Liu, L.J.[Li-Juan], Cai, Y.J.[Yu-Jun], Feng, J.S.[Jia-Shi], Yan, S.C.[Shui-Cheng],
Geometry-Guided Progressive NeRF for Generalizable and Efficient Neural Human Rendering,
ECCV22(XXIII:222-239).
Springer DOI 2211
BibRef

Ge, Y.H.[Yun-Hao], Behl, H.[Harkirat], Xu, J.[Jiashu], Gunasekar, S.[Suriya], Joshi, N.[Neel], Song, Y.[Yale], Wang, X.[Xin], Itti, L.[Laurent], Vineet, V.[Vibhav],
Neural-Sim: Learning to Generate Training Data with NeRF,
ECCV22(XXIII:477-493).
Springer DOI 2211
BibRef

Pan, X.[Xuran], Lai, Z.H.[Zi-Hang], Song, S.[Shiji], Huang, G.[Gao],
ActiveNeRF: Learning Where to See with Uncertainty Estimation,
ECCV22(XXXIII:230-246).
Springer DOI 2211
BibRef

Fujitomi, T.[Taku], Sakurada, K.[Ken], Hamaguchi, R.[Ryuhei], Shishido, H.[Hidehiko], Onishi, M.[Masaki], Kameda, Y.[Yoshinari],
LB-NERF: Light Bending Neural Radiance Fields for Transparent Medium,
ICIP22(2142-2146)
IEEE DOI 2211
Learning systems, Image color analysis, Refractive index, Bending, Rendering (computer graphics), Cameras, transparent medium, volume rendering BibRef

Wang, C.[Can], Chai, M.L.[Meng-Lei], He, M.M.[Ming-Ming], Chen, D.D.[Dong-Dong], Liao, J.[Jing],
CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields,
CVPR22(3825-3834)
IEEE DOI 2210
Codes, Shape, Image color analysis, Training data, Optimization methods, Rendering (computer graphics), 3D from multi-view and sensors BibRef

Ma, L.[Li], Li, X.Y.[Xiao-Yu], Liao, J.[Jing], Zhang, Q.[Qi], Wang, X.[Xuan], Wang, J.[Jue], Sander, P.V.[Pedro V.],
Deblur-NeRF: Neural Radiance Fields from Blurry Images,
CVPR22(12851-12860)
IEEE DOI 2210
Deformable models, Training, Photography, Sensors, 3D from multi-view and sensors, Computational photography BibRef

Johari, M.M.[Mohammad Mahdi], Lepoittevin, Y.[Yann], Fleuret, F.[François],
GeoNeRF: Generalizing NeRF with Geometry Priors,
CVPR22(18344-18347)
IEEE DOI 2210
Geometry, Image sensors, Adaptation models, Costs, Computational modeling, RGBD sensors and analytics BibRef

Guo, Y.C.[Yuan-Chen], Kang, D.[Di], Bao, L.C.[Lin-Chao], He, Y.[Yu], Zhang, S.H.[Song-Hai],
NeRFReN: Neural Radiance Fields with Reflections,
CVPR22(18388-18397)
IEEE DOI 2210
Training, Image sensors, Graphics, Image analysis, Rendering (computer graphics), Reflection, Vision + graphics BibRef

Wadhwani, K.[Krishna], Kojima, T.[Tamaki],
SqueezeNeRF: Further factorized FastNeRF for memory-efficient inference,
ECV22(2716-2724)
IEEE DOI 2210
Conferences, Neural networks, Graphics processing units, Cameras,' Real-time systems BibRef

Xu, Q.G.[Qian-Geng], Xu, Z.X.[Ze-Xiang], Philip, J.[Julien], Fridovich-Keil, S.[Sara], Yu, A.[Alex], Tancik, M.[Matthew], Chen, Q.H.[Qin-Hong], Recht, B.[Benjamin], Kanazawa, A.[Angjoo],
Plenoxels: Radiance Fields without Neural Networks,
CVPR22(5491-5500)
IEEE DOI 2210
Visualization, Gradient methods, Codes, Neural networks, Benchmark testing, 3D from multi-view and sensors, Vision + graphics BibRef

Kim, M.[Mijeong], Seo, S.[Seonguk], Han, B.H.[Bo-Hyung],
InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering,
CVPR22(12902-12911)
IEEE DOI 2210
Training, Benchmark testing, Rendering (computer graphics), Minimization, Entropy, Sensors, 3D from multi-view and sensors, Vision + graphics BibRef

Turki, H.[Haithem], Ramanan, D.[Deva], Satyanarayanan, M.[Mahadev],
Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly- Throughs,
CVPR22(12912-12921)
IEEE DOI 2210
Training, Visualization, Buildings, Urban areas, Clustering algorithms, Rendering (computer graphics), Vision applications and systems BibRef

Rematas, K.[Konstantinos], Liu, A.[Andrew], Srinivasan, P.[Pratul], Barron, J.[Jonathan], Tagliasacchi, A.[Andrea], Funkhouser, T.[Thomas], Ferrari, V.[Vittorio],
Urban Radiance Fields,
CVPR22(12922-12932)
IEEE DOI 2210
Surface reconstruction, Image segmentation, Solid modeling, Laser radar, Urban areas, Neural networks, Vision + graphics BibRef

Deng, K.[Kangle], Liu, A.[Andrew], Zhu, J.Y.[Jun-Yan], Ramanan, D.[Deva],
Depth-supervised NeRF: Fewer Views and Faster Training for Free,
CVPR22(12872-12881)
IEEE DOI 2210
Training, Geometry, Uncertainty, Pipelines, Rendering (computer graphics), Surface fitting, Vision + graphics BibRef

Chen, T.L.[Tian-Long], Wang, P.H.[Pei-Hao], Fan, Z.W.[Zhi-Wen], Wang, Z.Y.[Zhang-Yang],
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations,
CVPR22(15170-15181)
IEEE DOI 2210
Training, Manifolds, Interpolation, Perturbation methods, Pipelines, Image capture, Rendering (computer graphics), 3D from multi-view and sensors BibRef

Hu, T.[Tao], Liu, S.[Shu], Chen, Y.L.[Yi-Lun], Shen, T.C.[Tian-Cheng], Jia, J.Y.[Jia-Ya],
EfficientNeRF: Efficient Neural Radiance Fields,
CVPR22(12892-12901)
IEEE DOI 2210
Training, Codes, Life estimation, Rendering (computer graphics), Data structures, 3D from multi-view and sensors, Vision + graphics BibRef

Yuan, Y.J.[Yu-Jie], Sun, Y.T.[Yang-Tian], Lai, Y.K.[Yu-Kun], Ma, Y.W.[Yue-Wen], Jia, R.[Rongfei], Gao, L.[Lin],
NeRF-Editing: Geometry Editing of Neural Radiance Fields,
CVPR22(18332-18343)
IEEE DOI 2210
Geometry, Deep learning, Shape, Image color analysis, Neural networks, Rendering (computer graphics), Vision + graphics BibRef

Huang, Y.H.[Yi-Hua], He, Y.[Yue], Yuan, Y.J.[Yu-Jie], Lai, Y.K.[Yu-Kun], Gao, L.[Lin],
StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learning,
CVPR22(18321-18331)
IEEE DOI 2210
Training, Knowledge engineering, Visualization, Codes, Image color analysis, Fuses, Vision + graphics BibRef

Cai, S.Q.[Sheng-Qu], Obukhov, A.[Anton], Dai, D.X.[Deng-Xin], Van Gool, L.J.[Luc J.],
Pix2NeRF: Unsupervised Conditional pi-GAN for Single Image to Neural Radiance Fields Translation,
CVPR22(3971-3980)
IEEE DOI 2210
Training, Visualization, Social networking (online), Pipelines, Superresolution, 3D from single images, Vision + graphics BibRef

Condorelli, F., Rinaudo, F., Salvadore, F., Tagliaventi, S.,
A Comparison Between 3d Reconstruction Using Nerf Neural Networks and MVS Algorithms on Cultural Heritage Images,
ISPRS21(B2-2021: 565-570).
DOI Link 2201
BibRef

Park, K.[Keunhong], Sinha, U.[Utkarsh], Barron, J.T.[Jonathan T.], Bouaziz, S.[Sofien], Goldman, D.B.[Dan B], Seitz, S.M.[Steven M.], Martin-Brualla, R.[Ricardo],
Nerfies: Deformable Neural Radiance Fields,
ICCV21(5845-5854)
IEEE DOI 2203
Deformable models, Geometry, Adaptation models, Optimization methods, Rendering (computer graphics), BibRef

Meng, Q.[Quan], Chen, A.[Anpei], Luo, H.M.[Hai-Min], Wu, M.[Minye], Su, H.[Hao], Xu, L.[Lan], He, X.M.[Xu-Ming], Yu, J.Y.[Jing-Yi],
GNeRF: GAN-based Neural Radiance Field without Posed Camera,
ICCV21(6331-6341)
IEEE DOI 2203
Pose estimation, Cameras, Generative adversarial networks, Trajectory, Optimization, Stereo, Representation learning BibRef

Jang, W.[Wonbong], Agapito, L.[Lourdes],
CodeNeRF: Disentangled Neural Radiance Fields for Object Categories,
ICCV21(12929-12938)
IEEE DOI 2203
Codes, Shape, Image color analysis, Process control, Benchmark testing, 3D from a single image and shape-from-x, 3D from multiview and other sensors BibRef

Xie, C.[Christopher], Park, K.[Keunhong], Martin-Brualla, R.[Ricardo], Brown, M.[Matthew],
FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object Category Modelling,
3DV21(962-971)
IEEE DOI 2201
Measurement, Deformable models, Solid modeling, Image segmentation BibRef

Shen, J.X.[Jian-Xiong], Ruiz, A.[Adria], Agudo, A.[Antonio], Moreno-Noguer, F.[Francesc],
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations,
3DV21(972-981)
IEEE DOI 2201
Uncertainty, Computational modeling, Estimation, Stochastic processes, Rendering (computer graphics), Probability distribution BibRef

Martin-Brualla, R.[Ricardo], Radwan, N.[Noha], Sajjadi, M.S.M.[Mehdi S. M.], Barron, J.T.[Jonathan T.], Dosovitskiy, A.[Alexey], Duckworth, D.[Daniel],
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections,
CVPR21(7206-7215)
IEEE DOI 2111
Learning systems, Solid modeling, Photorealism, Image color analysis, Lighting, Rendering (computer graphics) BibRef

Athar, S.R.[Shah-Rukh], Xu, Z.X.[Ze-Xiang], Sunkavalli, K.[Kalyan], Shechtman, E.[Eli], Shu, Z.X.[Zhi-Xin],
RigNeRF: Fully Controllable Neural 3D Portraits,
CVPR22(20332-20341)
IEEE DOI 2210
Deformable models, Training, Solid modeling, Image analysis, Face recognition, Rendering (computer graphics), Scene analysis and understanding BibRef

Hong, Y.[Yang], Peng, B.[Bo], Xiao, H.[Haiyao], Liu, L.G.[Li-Gang], Zhang, J.[Juyong],
HeadNeRF: A Realtime NeRF-based Parametric Head Model,
CVPR22(20342-20352)
IEEE DOI 2210
Ethics, Head, Semantics, Rendering (computer graphics), Real-time systems, Face and gestures, Vision + graphics BibRef

Ouyang, H.[Hao], Shi, Z.F.[Zi-Fan], Lei, C.Y.[Chen-Yang], Law, K.L.[Ka Lung], Chen, Q.F.[Qi-Feng],
Neural Camera Simulators,
CVPR21(7696-7705)
IEEE DOI 2111
Deep learning, Training, ISO, Detectors, Apertures, Cameras, Feature extraction BibRef

Yu, A.[Alex], Ye, V.[Vickie], Tancik, M.[Matthew], Kanazawa, A.[Angjoo],
pixelNeRF: Neural Radiance Fields from One or Few Images,
CVPR21(4576-4585)
IEEE DOI 2111
Convolutional codes, Solid modeling, Image resolution, Benchmark testing BibRef

Kellnhofer, P.[Petr], Jebe, L.C.[Lars C.], Jones, A.[Andrew], Spicer, R.[Ryan], Pulli, K.[Kari], Wetzstein, G.[Gordon],
Neural Lumigraph Rendering,
CVPR21(4285-4295)
IEEE DOI 2111
Graphics, Image quality, Image resolution, Face recognition, Pipelines, Rendering (computer graphics) BibRef

Kolos, M., Sevastopolsky, A., Lempitsky, V.,
TRANSPR: Transparency Ray-Accumulating Neural 3D Scene Point Renderer,
3DV20(1167-1175)
IEEE DOI 2102
Rendering (computer graphics), Graphics, Cameras, Pipelines, Image resolution, photogrammetry BibRef

Meshry, M.[Moustafa], Goldman, D.B.[Dan B.], Khamis, S.[Sameh], Hoppe, H.[Hugues], Pandey, R.[Rohit], Snavely, N.[Noah], Martin-Brualla, R.[Ricardo],
Neural Rerendering in the Wild,
CVPR19(6871-6880).
IEEE DOI 2002
BibRef

Kissner, M.[Michael], Mayer, H.[Helmut],
A Neural-Symbolic Architecture for Inverse Graphics Improved by Lifelong Meta-learning,
GCPR19(471-484).
Springer DOI 1911
De-rendering a scene into semantic information feed-forward, as well as rendering it feed-backward. BibRef

Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Neural Rendering .