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
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,
Pattern recognition, 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],
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
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, Pattern recognition,
Vision + graphics
BibRef
Hedman, P.[Peter],
Srinivasan, P.P.[Pratul P.],
Mildenhall, B.[Ben],
Barron, J.T.[Jonathan T.],
Debevec, P.[Paul],
Baking Neural Radiance Fields for Real-Time View Synthesis,
ICCV21(5855-5864)
IEEE DOI
2203
Graphics, Portable computers, Octrees, Graphics processing units,
Streaming media, Multilayer perceptrons, Stereo,
Image and video synthesis
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
Jiang, W.[Wei],
Yi, K.M.[Kwang Moo],
Samei, G.[Golnoosh],
Tuzel, O.[Oncel],
Ranjan, A.[Anurag],
NeuMan: Neural Human Radiance Field from a Single Video,
ECCV22(XXXII:402-418).
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
Kaneko, T.[Takuhiro],
AR-NeRF: Unsupervised Learning of Depth and Defocus Effects from
Natural Images with Aperture Rendering Neural Radiance Fields,
CVPR22(18366-18376)
IEEE DOI
2210
BibRef
Earlier:
Unsupervised Learning of Depth and Depth-of-Field Effect from Natural
Images with Aperture Rendering Generative Adversarial Networks,
CVPR21(15674-15683)
IEEE DOI
2111
Training, Representation learning, Face recognition, Apertures,
Ray tracing, Data collection, 3D from single images.
Shape, Computational modeling, Rendering (computer graphics)
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.[Yuanbo],
Xu, L.[Linning],
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
Zhang, J.[Jian],
Huang, J.C.[Jin-Chi],
Cai, B.[Bowen],
Fu, H.[Huan],
Gong, M.M.[Ming-Ming],
Wang, C.[Chaohui],
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
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.[Mingfei],
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.[Zihang],
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, L.[Liao],
Zhang, J.[Jiakai],
Liu, X.H.[Xin-Hang],
Zhao, F.Q.[Fu-Qiang],
Zhang, Y.[Yanshun],
Zhang, Y.L.[Ying-Liang],
Wu, M.[Minve],
Yu, J.Y.[Jing-Yi],
Xu, L.[Lan],
Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-time,
CVPR22(13514-13524)
IEEE DOI
2210
Training, Photography, Visualization, Telepresence, Streaming media,
Rendering (computer graphics),
Face and gestures
BibRef
Deng, Y.[Yu],
Yang, J.[Jiaolong],
Xiang, J.F.[Jian-Feng],
Tong, X.[Xin],
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
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
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, Pattern recognition,
Image and video synthesis and generation
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,
Pattern recognition, 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
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
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
Wu, L.W.[Li-Wen],
Lee, J.Y.[Jae Yong],
Bhattad, A.[Anand],
Wang, Y.X.[Yu-Xiong],
Forsyth, D.A.[David A.],
DIVeR: Real-time and Accurate Neural Radiance Fields with
Deterministic Integration for Volume Rendering,
CVPR22(16179-16188)
IEEE DOI
2210
Solid modeling, Codes, Computational modeling, Semantics,
Stochastic processes, Vision + graphics,
Physics-based vision and shape-from-X
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
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, Pattern recognition, 3D from multi-view and sensors,
Computational photography, Image and video synthesis and generation
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
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),
Pattern recognition, Transient analysis, Image reconstruction,
Vision applications and systems
BibRef
Yuan, Y.J.[Yu-Jie],
Sun, Y.T.[Yang-Tian],
Lai, Y.K.[Yu-Kun],
Ma, Y.[Yuewen],
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
Piala, M.[Martin],
Clark, R.[Ronald],
TermiNeRF: Ray Termination Prediction for Efficient Neural Rendering,
3DV21(1106-1114)
IEEE DOI
2201
Training, Geometry, Image color analysis, Pipelines, Lighting, Estimation
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
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
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.[Haimin],
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
Du, Y.L.[Yi-Lun],
Zhang, Y.[Yinan],
Yu, H.X.[Hong-Xing],
Tenenbaum, J.B.[Joshua B.],
Wu, J.J.[Jia-Jun],
Neural Radiance Flow for 4D View Synthesis and Video Processing,
ICCV21(14304-14314)
IEEE DOI
2203
Superresolution, Noise reduction, Rendering (computer graphics),
Task analysis, Image and video synthesis,
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
Pumarola, A.[Albert],
Corona, E.[Enric],
Pons-Moll, G.[Gerard],
Moreno-Noguer, F.[Francesc],
D-NeRF: Neural Radiance Fields for Dynamic Scenes,
CVPR21(10313-10322)
IEEE DOI
2111
Photorealism,
Dynamics, Machine learning, Cameras, Rendering (computer graphics)
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
Li, J.X.[Jia-Xin],
Feng, Z.J.[Zi-Jian],
She, Q.[Qi],
Ding, H.H.[Heng-Hui],
Wang, C.H.[Chang-Hu],
Lee, G.H.[Gim Hee],
MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis,
ICCV21(12558-12568)
IEEE DOI
2203
Codes, Estimation, Rendering (computer graphics), Cameras,
Light fields, 3D from a single image and shape-from-x,
3D from multiview and other sensors
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
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
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
Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Ray Tracing, Rendering .