Mildenhall, B.[Ben],
Srinivasan, P.P.[Pratul P.],
Tancik, M.[Matthew],
Barron, J.T.[Jonathan T.],
Ramamoorthi, R.[Ravi],
Ng, R.[Ren],
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis,
CACM(65), No. 1, January 2022, pp. 99-106.
DOI Link
2112
BibRef
Earlier:
ECCV20(I:405-421).
Springer DOI
2011
Award, ECCV, HM. Synthesizing complex scenes
BibRef
Hedman, P.[Peter],
Srinivasan, P.P.[Pratul P.],
Mildenhall, B.[Ben],
Reiser, C.[Christian],
Barron, J.T.[Jonathan T.],
Debevec, P.[Paul],
Baking Neural Radiance Fields for Real-Time View Synthesis,
PAMI(47), No. 5, May 2025, pp. 3310-3321.
IEEE DOI
2504
BibRef
Earlier: A1, A2, A3, A5, A6, Only:
ICCV21(5855-5864)
IEEE DOI
2203
Rendering (computer graphics), Real-time systems,
Image color analysis, Vectors, Graphics processing units,
view synthesis.
Graphics, Portable computers, Octrees,
Streaming media, Multilayer perceptrons, Stereo,
Image and video synthesis
BibRef
Verbin, D.[Dor],
Hedman, P.[Peter],
Mildenhall, B.[Ben],
Zickler, T.[Todd],
Barron, J.T.[Jonathan T.],
Srinivasan, P.P.[Pratul P.],
Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance
Fields,
CVPR22(5481-5490)
IEEE DOI
2210
Graphics, Multilayer perceptrons, Reflection, Sensors,
3D from multi-view and sensors, Vision + graphics
BibRef
Barron, J.T.[Jonathan T.],
Mildenhall, B.[Ben],
Verbin, D.[Dor],
Srinivasan, P.P.[Pratul P.],
Hedman, P.[Peter],
Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields,
ICCV23(19640-19648)
IEEE DOI
2401
BibRef
Earlier:
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields,
CVPR22(5460-5469)
IEEE DOI
2210
Nonlinear distortion, Machine learning, Cameras,
Rendering (computer graphics), Sensors,
Machine learning
BibRef
Barron, J.T.[Jonathan T.],
Mildenhall, B.[Ben],
Tancik, M.[Matthew],
Hedman, P.[Peter],
Martin-Brualla, R.[Ricardo],
Srinivasan, P.P.[Pratul P.],
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural
Radiance Fields,
ICCV21(5835-5844)
IEEE DOI
2203
Award, Marr Prize, HM. Training, Image resolution, Error analysis, Computational modeling,
Neural networks, Multilayer perceptrons, Stereo,
Low-level and physics-based vision
BibRef
Niemeyer, M.[Michael],
Barron, J.T.[Jonathan T.],
Mildenhall, B.[Ben],
Sajjadi, M.S.M.[Mehdi S. M.],
Geiger, A.[Andreas],
Radwan, N.[Noha],
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from
Sparse Inputs,
CVPR22(5470-5480)
IEEE DOI
2210
Geometry, Training, Solid modeling, Annealing,
Computational modeling, Rendering (computer graphics),
3D from multi-view and sensors
BibRef
Roessle, B.[Barbara],
Barron, J.T.[Jonathan T.],
Mildenhall, B.[Ben],
Srinivasan, P.P.[Pratul P.],
Nießner, M.[Matthias],
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views,
CVPR22(12882-12891)
IEEE DOI
2210
Image quality, Uncertainty, Structure from motion,
Rendering (computer graphics), Cameras,
Vision + graphics
BibRef
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
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
Jia, Z.H.[Zhi-Hao],
Wang, B.[Bing],
Chen, C.H.[Chang-Hao],
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
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
Huang, Y.H.[Yi-Hua],
Cao, Y.P.[Yan-Pei],
Lai, Y.K.[Yu-Kun],
Shan, Y.[Ying],
Gao, L.[Lin],
NeRF-Texture: Synthesizing Neural Radiance Field Textures,
PAMI(46), No. 9, September 2024, pp. 5986-6000.
IEEE DOI
2408
Shape, Rendering (computer graphics), Surface texture,
Feature extraction, Geometry, Optimization, Image reconstruction,
texture synthesis
BibRef
Huang, X.[Xin],
Zhang, Q.[Qi],
Feng, Y.[Ying],
Li, H.D.[Hong-Dong],
Wang, Q.[Qing],
LTM-NeRF: Embedding 3D Local Tone Mapping in HDR Neural Radiance
Field,
PAMI(46), No. 12, December 2024, pp. 10944-10959.
IEEE DOI
2411
Neural radiance field, Rendering (computer graphics),
Image reconstruction, Cameras, High dynamic range, Training,
novel view synthesis
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
Li, L.[Li],
Zhang, Y.S.[Yong-Sheng],
Jiang, Z.P.[Zhi-Peng],
Wang, Z.Q.[Zi-Quan],
Zhang, L.[Lei],
Gao, H.[Han],
Unmanned Aerial Vehicle-Neural Radiance Field (UAV-NeRF): Learning
Multiview Drone Three-Dimensional Reconstruction with Neural Radiance
Field,
RS(16), No. 22, 2024, pp. 4168.
DOI Link
2412
BibRef
Gao, Z.[Zihan],
Li, L.L.[Ling-Ling],
Liu, X.[Xu],
Jiao, L.C.[Li-Cheng],
Liu, F.[Fang],
Yang, S.Y.[Shu-Yuan],
Uncertainty Guided Progressive Few-Shot Learning Perception for
Aerial View Synthesis,
MultMed(27), 2025, pp. 1177-1192.
IEEE DOI
2503
Neural radiance field, Uncertainty, Training,
Rendering (computer graphics), Overfitting, Solid modeling,
neural radiance field
BibRef
Lee, Y.J.[Yong-Jae],
Yang, L.[Li],
Fan, D.L.[De-Liang],
MFNeRF: Memory Efficient NeRF with Mixed-Feature Hash Table,
WACV25(2686-2695)
IEEE DOI
2505
Training, Accuracy, Memory management, Lighting,
Graphics processing units, Transforms, Neural radiance field,
novel view synthesis
BibRef
Shi, L.[Lin],
Matsufuji, K.[Kengo],
Kawahara, R.[Ryo],
Okabe, T.[Takahiro],
FluoNeRF: Fluorescent Novel-View Synthesis Under Novel Light Source
Colors,
WACV25(2032-2041)
IEEE DOI
2505
Graphics, Image color analysis, Computational modeling, Lighting,
Fluorescence, Neural radiance field, Photorealistic images,
superposition principle
BibRef
Yan, D.[Dongyu],
Huang, G.[Guanyu],
Quan, F.Y.[Feng-Yu],
Chen, H.[Haoyao],
MSI-NeRF: Linking Omni-Depth with View Synthesis Through Multi-Sphere
Image Aided Generalizable Neural Radiance Field,
WACV25(2517-2526)
IEEE DOI
2505
Depth measurement, Robot vision systems, Virtual reality, Cameras,
Rendering (computer graphics), Neural radiance field,
multi-sphere images
BibRef
Kim, J.[Jina],
Lee, J.[Jihoo],
Kang, J.W.[Je-Won],
SNeRV: Spectra-Preserving Neural Representation for Video,
ECCV24(LV: 332-348).
Springer DOI
2412
Code:
WWW Link.
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
Chen, A.[Anpei],
Xu, H.F.[Hao-Fei],
Esposito, S.[Stefano],
Tang, S.[Siyu],
Geiger, A.[Andreas],
LARA: Efficient Large-baseline Radiance Fields,
ECCV24(XI: 338-355).
Springer DOI
2412
BibRef
Zhang, Q.[Qi],
Feng, Y.[Ying],
Li, H.D.[Hong-Dong],
Physically Plausible Color Correction for Neural Radiance Fields,
ECCV24(XLIV: 169-187).
Springer DOI
2412
BibRef
Zhu, H.D.[Hai-Dong],
Ding, T.Y.[Tian-Yu],
Chen, T.Y.[Tian-Yi],
Zharkov, I.[Ilya],
Nevatia, R.[Ram],
Liang, L.[Luming],
CaesarNeRF: Calibrated Semantic Representation for Few-shot
Generalizable Neural Rendering,
ECCV24(VI: 71-89).
Springer DOI
2412
BibRef
Liu, X.H.[Xin-Hang],
Chen, J.[Jiaben],
Kao, S.H.[Shiu-Hong],
Tai, Y.W.[Yu-Wing],
Tang, C.K.[Chi-Keung],
Deceptive-NeRF/3DGS: Diffusion-generated Pseudo-observations for
High-quality Sparse-view Reconstruction,
ECCV24(XVI: 337-355).
Springer DOI
2412
BibRef
Huang, X.L.[Xian-Liang],
Chen, S.[Shuhang],
Zhong, Z.Z.[Zhi-Zhou],
Gou, J.J.[Jia-Jie],
Guan, J.H.[Ji-Hong],
Zhou, S.[Shuigeng],
Hi-NeRF: Hybridizing 2d Inpainting with Neural Radiance Fields for 3d
Scene Inpainting,
ACCV24(X: 125-141).
Springer DOI
2412
BibRef
di Sario, F.[Francesco],
Renzulli, R.[Riccardo],
Tartaglione, E.[Enzo],
Grangetto, M.[Marco],
Boost Your NeRF: A Model-agnostic Mixture of Experts Framework for High
Quality and Efficient Rendering,
ECCV24(LXXXIII: 176-192).
Springer DOI
2412
BibRef
Chen, Y.Y.[Yi-Yang],
Dong, S.[Siyan],
Wang, X.[Xulong],
Cai, L.[Lulu],
Zheng, Y.[Youyi],
Yang, Y.C.[Yan-Chao],
SG-NeRF: Neural Surface Reconstruction with Scene Graph Optimization,
ECCV24(LXX: 188-205).
Springer DOI
2412
BibRef
Zhu, H.X.[Han-Xin],
He, T.Y.[Tian-Yu],
Li, X.[Xin],
Li, B.C.[Bing-Chen],
Chen, Z.B.[Zhi-Bo],
Is Vanilla MLP in Neural Radiance Field Enough for Few-Shot View
Synthesis?,
CVPR24(20288-20298)
IEEE DOI
2410
Geometry, Solid modeling, Costs, Color, Benchmark testing,
Neural Radiance Field, Few-shot View Synthesis, MLP
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, 3D reconstruction
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
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
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
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
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
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
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
Bonotto, M.[Matteo],
Sarrocco, L.[Luigi],
Evangelista, D.[Daniele],
Imperoli, M.[Marco],
Pretto, A.[Alberto],
CombiNeRF: A Combination of Regularization Techniques for Few-Shot
Neural Radiance Field View Synthesis,
3DV24(641-650)
IEEE DOI
2408
Geometry, Training, Annealing, Perturbation methods, Color,
Rendering (computer graphics), View Synthesis, Neural Fields, Regularization
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,
Rendering (computer graphics), NeRF,
Surface Reconstruction
BibRef
Kim, M.J.[Min-Jung],
Gu, G.[Gyojung],
Choo, J.[Jaegul],
LensNeRF: Rethinking Volume Rendering based on Thin-Lens Camera Model,
WACV24(3170-3179)
IEEE DOI
2404
Solid modeling, Image color analysis, Fuses,
Apertures, Cameras, Algorithms, 3D computer vision, Algorithms,
image and video synthesis
BibRef
Ko, K.[Kanghyeok],
Lee, M.[Minhyeok],
ZIGNeRF: Zero-shot 3D Scene Representation with Invertible Generative
Neural Radiance Fields,
WACV24(4974-4983)
IEEE DOI
2404
Manifolds, Training, Solid modeling, Adaptation models, Codes,
Generative adversarial networks, Algorithms,
image and video synthesis
BibRef
Wu, Y.S.[Yu-Shuang],
Li, X.[Xiao],
Wang, J.L.[Jing-Lu],
Han, X.G.[Xiao-Guang],
Cui, S.G.[Shu-Guang],
Lu, Y.[Yan],
Efficient View Synthesis with Neural Radiance Distribution Field,
ICCV23(18460-18469)
IEEE DOI
2401
BibRef
Li, Y.[Yuan],
Lin, Z.H.[Zhi-Hao],
Forsyth, D.A.[David A.],
Huang, J.B.[Jia-Bin],
Wang, S.L.[Shen-Long],
ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Field,
ICCV23(3204-3215)
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
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
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
BibRef
Cao, A.Q.[Anh-Quan],
de Charette, R.[Raoul],
SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with
Radiance Fields,
ICCV23(9353-9364)
IEEE DOI Code:
WWW Link.
2401
BibRef
di Nucci, D.[Davide],
Simoni, A.[Alessandro],
Tomei, M.[Matteo],
Ciuffreda, L.[Luca],
Vezzani, R.[Roberto],
Cucchiara, R.[Rita],
CarPatch: A Synthetic Benchmark for Radiance Field Evaluation on
Vehicle Components,
CIAP23(II:99-110).
Springer DOI Code:
WWW Link.
2312
BibRef
Li, L.[Leheng],
Lian, Q.[Qing],
Wang, L.[Luozhou],
Ma, N.N.[Ning-Ning],
Chen, Y.C.[Ying-Cong],
Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D
Generative Radiance Field,
CVPR23(332-341)
IEEE DOI
2309
BibRef
Xu, Y.H.[Ying-Hao],
Chai, M.L.[Meng-Lei],
Shi, Z.[Zifan],
Peng, S.[Sida],
Skorokhodov, I.[Ivan],
Siarohin, A.[Aliaksandr],
Yang, C.[Ceyuan],
Shen, Y.J.[Yu-Jun],
Lee, H.Y.[Hsin-Ying],
Zhou, B.[Bolei],
Tulyakov, S.[Sergey],
DisCoScene: Spatially Disentangled Generative Radiance Fields for
Controllable 3D-aware Scene Synthesis,
CVPR23(4402-4412)
IEEE DOI
2309
BibRef
Deng, Y.[Yu],
Wang, B.Y.[Bao-Yuan],
Shum, H.Y.[Heung-Yeung],
Learning Detailed Radiance Manifolds for High-Fidelity and
3D-Consistent Portrait Synthesis from Monocular Image,
CVPR23(4423-4433)
IEEE DOI
2309
BibRef
Wan, Z.Y.[Zi-Yu],
Richardt, C.[Christian],
Božic, A.[Aljaž],
Li, C.[Chao],
Rengarajan, V.[Vijay],
Nam, S.[Seonghyeon],
Xiang, X.Y.[Xiao-Yu],
Li, T.[Tuotuo],
Zhu, B.[Bo],
Ranjan, R.[Rakesh],
Liao, J.[Jing],
Learning Neural Duplex Radiance Fields for Real-Time View Synthesis,
CVPR23(8307-8316)
IEEE DOI
2309
BibRef
Meuleman, A.[Andreas],
Liu, Y.L.[Yu-Lun],
Gao, C.[Chen],
Huang, J.B.[Jia-Bin],
Kim, C.[Changil],
Kim, M.H.[Min H.],
Kopf, J.[Johannes],
Progressively Optimized Local Radiance Fields for Robust View
Synthesis,
CVPR23(16539-16548)
IEEE DOI
2309
BibRef
Zhou, K.[Kun],
Li, W.B.[Wen-Bo],
Wang, Y.[Yi],
Hu, T.[Tao],
Jiang, N.[Nianjuan],
Han, X.G.[Xiao-Guang],
Lu, J.B.[Jiang-Bo],
NeRFLiX: High-Quality Neural View Synthesis by Learning a
Degradation-Driven Inter-viewpoint MiXer,
CVPR23(12363-12374)
IEEE DOI
2309
BibRef
Huang, X.D.[Xu-Dong],
Li, W.[Wei],
Hu, J.[Jie],
Chen, H.T.[Han-Ting],
Wang, Y.H.[Yun-He],
RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis,
CVPR23(8244-8253)
IEEE DOI
2309
BibRef
Yang, C.[Chen],
Li, P.H.[Pei-Hao],
Zhou, Z.[Zanwei],
Yuan, S.X.[Shan-Xin],
Liu, B.B.[Bing-Bing],
Yang, X.K.[Xiao-Kang],
Qiu, W.C.[Wei-Chao],
Shen, W.[Wei],
NeRFVS: Neural Radiance Fields for Free View Synthesis via Geometry
Scaffolds,
CVPR23(16549-16558)
IEEE DOI
2309
BibRef
Lazova, V.[Verica],
Guzov, V.[Vladimir],
Olszewski, K.[Kyle],
Tulyakov, S.[Sergey],
Pons-Moll, G.[Gerard],
Control-NeRF: Editable Feature Volumes for Scene Rendering and
Manipulation,
WACV23(4329-4339)
IEEE DOI
2302
Solid modeling, Shape, Image synthesis, Neural networks, Lighting,
Algorithms: 3D computer vision, Virtual/augmented reality, Visualization
BibRef
Zheng, S.H.[Shu-Hong],
Bao, Z.P.[Zhi-Peng],
Hebert, M.[Martial],
Wang, Y.X.[Yu-Xiong],
Multi-task View Synthesis with Neural Radiance Fields,
ICCV23(21481-21492)
IEEE DOI Code:
WWW Link.
2401
BibRef
Zhang, M.T.[Ming-Tong],
Zheng, S.H.[Shu-Hong],
Bao, Z.P.[Zhi-Peng],
Hebert, M.[Martial],
Wang, Y.X.[Yu-Xiong],
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields,
WACV23(795-805)
IEEE DOI
2302
Geometry, Visualization, Computational modeling,
Semantic segmentation, Semantics, Rendering (computer graphics),
visual reasoning
BibRef
Zhang, J.[Jian],
Huang, J.C.[Jin-Chi],
Cai, B.[Bowen],
Fu, H.[Huan],
Gong, M.M.[Ming-Ming],
Wang, C.H.[Chao-Hui],
Wang, J.M.[Jia-Ming],
Luo, H.C.[Hong-Chen],
Jia, R.F.[Rong-Fei],
Zhao, B.Q.[Bin-Qiang],
Tang, X.[Xing],
Digging into Radiance Grid for Real-Time View Synthesis with Detail
Preservation,
ECCV22(XV:724-740).
Springer DOI
2211
BibRef
Xiang, J.F.[Jian-Feng],
Yang, J.[Jiaolong],
Deng, Y.[Yu],
Tong, X.[Xin],
GRAM-HD: 3D-Consistent Image Generation at High Resolution with
Generative Radiance Manifolds,
ICCV23(2195-2205)
IEEE DOI
2401
BibRef
Earlier: A3, A2, A1, A4:
GRAM: Generative Radiance Manifolds for 3D-Aware Image Generation,
CVPR22(10663-10673)
IEEE DOI
2210
Training, Manifolds, Representation learning, Visualization,
Monte Carlo methods, Image synthesis, Image and video synthesis and generation
BibRef
Mallikarjun, B.R.,
Tewari, A.[Ayush],
Pan, X.G.[Xin-Gang],
Elgharib, M.[Mohamed],
Theobalt, C.[Christian],
gCoRF: Generative Compositional Radiance Fields,
3DV22(567-576)
IEEE DOI
2408
Solid modeling, Image segmentation, Image synthesis, Semantics,
Computer graphics, compositional, nerf, gan, face editing, face model,
3d gan
BibRef
Kuang, Z.F.[Zheng-Fei],
Luan, F.[Fujun],
Bi, S.[Sai],
Shu, Z.X.[Zhi-Xin],
Wetzstein, G.[Gordon],
Sunkavalli, K.[Kalyan],
PaletteNeRF: Palette-based Appearance Editing of Neural Radiance
Fields,
CVPR23(20691-20700)
IEEE DOI
2309
BibRef
Bi, S.[Sai],
Shu, Z.X.[Zhi-Xin],
Sunkavalli, K.[Kalyan],
Neumann, U.[Ulrich],
Point-NeRF: Point-based Neural Radiance Fields,
CVPR22(5428-5438)
IEEE DOI
2210
Point cloud compression, Training, Surface reconstruction,
Solid modeling, Pipelines, Rendering (computer graphics),
Image and video synthesis and generation
BibRef
Zhang, X.S.[Xiao-Shuai],
Bi, S.[Sai],
Sunkavalli, K.[Kalyan],
Su, H.[Hao],
Xu, Z.X.[Ze-Xiang],
NeRFusion: Fusing Radiance Fields for Large-Scale Scene
Reconstruction,
CVPR22(5439-5448)
IEEE DOI
2210
Recurrent neural networks, Rendering (computer graphics),
Real-time systems, Image sequences,
Image and video synthesis and generation
BibRef
Kania, K.[Kacper],
Yi, K.M.[Kwang Moo],
Kowalski, M.[Marek],
Trzciniski, T.[Tomasz],
Tagliasacchi, A.[Andrea],
CoNeRF: Controllable Neural Radiance Fields,
CVPR22(18602-18611)
IEEE DOI
2210
Training, Manifolds, Annotations, Neural networks, Mouth,
Rendering (computer graphics), Vision + graphics,
Image and video synthesis and generation
BibRef
Chen, X.Y.[Xing-Yu],
Zhang, Q.[Qi],
Li, X.Y.[Xiao-Yu],
Chen, Y.[Yue],
Feng, Y.[Ying],
Wang, X.[Xuan],
Wang, J.[Jue],
Hallucinated Neural Radiance Fields in the Wild,
CVPR22(12933-12942)
IEEE DOI
2210
Codes, 3D from multi-view and sensors,
Computational photography, Image and video synthesis and generation
BibRef
Tancik, M.[Matthew],
Casser, V.[Vincent],
Yan, X.C.[Xin-Chen],
Pradhan, S.[Sabeek],
Mildenhall, B.P.[Ben P.],
Srinivasan, P.[Pratul],
Barron, J.T.[Jonathan T.],
Kretzschmar, H.[Henrik],
Block-NeRF: Scalable Large Scene Neural View Synthesis,
CVPR22(8238-8248)
IEEE DOI
2210
Buildings, Rendering (computer graphics),
Transient analysis, Image reconstruction,
Vision applications and systems
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
Reiser, C.[Christian],
Peng, S.[Songyou],
Liao, Y.[Yiyi],
Geiger, A.[Andreas],
KiloNeRF:
Speeding up Neural Radiance Fields with Thousands of Tiny MLPs,
ICCV21(14315-14325)
IEEE DOI
2203
Training, Visualization, Costs, Computational modeling, Fitting,
Rendering (computer graphics), Image and video synthesis,
Efficient training and inference methods
BibRef
Jain, A.[Ajay],
Tancik, M.[Matthew],
Abbeel, P.[Pieter],
Putting NeRF on a Diet:
Semantically Consistent Few-Shot View Synthesis,
ICCV21(5865-5874)
IEEE DOI
2203
Visualization, Solid modeling, Semantics, Natural languages,
Transformers, Rendering (computer graphics), Stereo,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Niemeyer, M.[Michael],
Geiger, A.[Andreas],
CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields,
3DV21(951-961)
IEEE DOI
2201
Training, Solid modeling, Image synthesis, Shape, Cameras, Generators
BibRef
Srinivasan, P.P.[Pratul P.],
Deng, B.Y.[Bo-Yang],
Zhang, X.M.[Xiu-Ming],
Tancik, M.[Matthew],
Mildenhall, B.[Ben],
Barron, J.T.[Jonathan T.],
NeRV: Neural Reflectance and Visibility Fields for Relighting and
View Synthesis,
CVPR21(7491-7500)
IEEE DOI
2111
Training, Reflectivity,
Lighting, Predictive models, Rendering (computer 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
Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Video Analysis Using Neural Radiance Fields, Dynamic Scenes, NeRF .