11.2.1.3.7 Video Analysis Using Neural Radiance Fields, Dynamic Scenes, NeRF

Chapter Contents (Back)
Rendering. Neural Radiance Fields. Radiance Fields. NeRF. Video.
See also Neural Radiance Fields, NeRF, Analysis and Use.
See also Virtual View Generation, View Synthesis, Image Based Rendering, IBR.


Yan, L.Q.[Li-Qi], Wang, Q.F.[Qi-Fan], Zhao, J.[Junhan], Guan, Q.[Qiang], Tang, Z.[Zheng], Zhang, J.H.[Jian-Hui], Liu, D.F.[Dong-Fang],
Radiance Field Learners As UAV First-person Viewers,
ECCV24(LXI: 88-107).
Springer DOI 2412
BibRef

Zhan, Y.F.[Yi-Fan], Li, Z.X.[Zhuo-Xiao], Niu, M.[Muyao], Zhong, Z.H.[Zhi-Hang], Nobuhara, S.[Shohei], Nishino, K.[Ko], Zheng, Y.Q.[Yin-Qiang],
Kfd-NeRF: Rethinking Dynamic NeRF with Kalman Filter,
ECCV24(XLV: 1-18).
Springer DOI 2412
BibRef

Yang, R.[Runyu], Liu, D.[Dong], Wu, F.[Feng], Gao, W.[Wen],
Neural Radiance Field-Assisted Static-Scene Video Coding,
ICIP24(1816-1822)
IEEE DOI 2411
Video coding, Image coding, Upper bound, Bit rate, Video compression, Neural radiance field, Cameras, Neural Networks, Video Frame Synthesis BibRef

Zheng, Z.[Zihan], Zhong, H.Q.[Hou-Qiang], Hu, Q.[Qiang], Zhang, X.Y.[Xiao-Yun], Song, L.[Li], Zhang, Y.[Ya], Wang, Y.F.[Yan-Feng],
JOINTRF: End-To-End Joint Optimization for Dynamic Neural Radiance Field Representation and Compression,
ICIP24(3292-3298)
IEEE DOI 2411
Training, Image coding, Dynamics, Termination of employment, Estimation, Neural radiance field, Rendering (computer graphics), End-to-end Joint Optimization BibRef

Büsching, M.[Marcel], Bengtson, J.[Josef], Nilsson, D.[David], Björkman, M.[Mårten],
FlowIBR: Leveraging Pre-Training for Efficient Neural Image-Based Rendering of Dynamic Scenes,
ECV24(8016-8026)
IEEE DOI 2410
Graphics processing units, Rendering (computer graphics), Cameras, Optimization, Neural rendering, Dynamic scenes BibRef

Li, X.Y.[Xing-Yi], Cao, Z.G.[Zhi-Guo], Wu, Y.Z.[Yi-Zheng], Wang, K.W.[Ke-Wei], Xian, K.[Ke], Wang, Z.[Zhe], Lin, G.S.[Guo-Sheng],
S-DyRF: Reference-Based Stylized Radiance Fields for Dynamic Scenes,
CVPR24(20102-20112)
IEEE DOI 2410
Semantics, Neural radiance field BibRef

Feng, Y.[Yutao], Shang, Y.T.[Yin-Tong], Li, X.[Xuan], Shao, T.J.[Tian-Jia], Jiang, C.F.F.[Chen-Fan-Fu], Yang, Y.[Yin],
PIE-NeRF: Physics-Based Interactive Elastodynamics with NeRF,
CVPR24(4450-4461)
IEEE DOI 2410
Adaptation models, Solid modeling, Shape, Computational modeling, Neural radiance field, Reduced order systems, 3D vision, NeRF BibRef

Lou, A.[Ange], Planche, B.[Benjamin], Gao, Z.[Zhongpai], Li, Y.M.[Ya-Min], Luan, T.Y.[Tian-Yu], Ding, H.[Hao], Chen, T.[Terrence], Noble, J.[Jack], Wu, Z.Y.[Zi-Yan],
DaReNeRF: Direction-aware Representation for Dynamic Scenes,
CVPR24(5031-5042)
IEEE DOI 2410
Training, Image color analysis, Dynamics, Redundancy, Neural radiance field, Rendering (computer graphics), wavelet transformation BibRef

Tang, X.[Xiao], Yang, M.[Min], Sun, P.H.[Peng-Hui], Li, H.[Hui], Dai, Y.C.[Yu-Chao], Zhu, F.[Feng], Lee, H.[Hojae],
PaReNeRF: Toward Fast Large-Scale Dynamic NeRF with Patch-Based Reference,
CVPR24(5428-5438)
IEEE DOI 2410
Training, Search methods, Rendering (computer graphics), Neural radiance field, Real-time systems, Decoding, NeRF BibRef

Pourian, N.[Niloufar], Supikov, A.[Alexey],
Joint Motion Detection in Neural Videos Training,
AIS24(5693-5700)
IEEE DOI 2410
Training, Schedules, Motion estimation, Spatial coherence, Streaming media, Network architecture, Neural radiance field, Neural Radiance Fields BibRef

Song, C.[Chaoyue], Wei, J.C.[Jia-Cheng], Foo, C.S.[Chuan Sheng], Lin, G.S.[Guo-Sheng], Liu, F.[Fayao],
REACTO: Reconstructing Articulated Objects from a Single Video,
CVPR24(5384-5395)
IEEE DOI Code:
WWW Link. 2410
Deformable models, Legged locomotion, Solid modeling, Deformation, Neural radiance field, Rigidity, 3D Reconstruction from Video, NeRF BibRef

Kaneko, T.[Takuhiro],
Improving Physics-Augmented Continuum Neural Radiance Field-Based Geometry-Agnostic System Identification with Lagrangian Particle Optimization,
CVPR24(5470-5480)
IEEE DOI Code:
WWW Link. 2410
Geometry, Computational modeling, Video sequences, Neural radiance field, System identification, few-shot learning BibRef

Choi, D.[Dongyoung], Jang, H.[Hyeonjoong], Kim, M.H.[Min H.],
OmniLocalRF: Omnidirectional Local Radiance Fields from Dynamic Videos,
CVPR24(6871-6880)
IEEE DOI 2410
Measurement, Motion segmentation, Face recognition, Dynamics, Pose estimation, Cameras, omnidirectional video, neural rendering BibRef

Ramazzina, A.[Andrea], Walz, S.[Stefanie], Dahal, P.[Pragyan], Bijelic, M.[Mario], Heide, F.[Felix],
Gated Fields: Learning Scene Reconstruction from Gated Videos,
CVPR24(10530-10541)
IEEE DOI Code:
WWW Link. 2410
Geometry, Surface reconstruction, Laser radar, Video sequences, Lighting, Logic gates, Neural Radiance Fields, Neural Rendering, 3D Vision BibRef

Otonari, T.[Takashi], Ikehata, S.[Satoshi], Aizawa, K.[Kiyoharu],
Entity-NeRF: Detecting and Removing Moving Entities in Urban Scenes,
CVPR24(20892-20901)
IEEE DOI Code:
WWW Link. 2410
Training, Computational modeling, Urban areas, Knowledge based systems, Neural radiance field, dynamic video BibRef

Wang, L.[Liao], Yao, K.X.[Kai-Xin], Guo, C.C.[Cheng-Cheng], Zhang, Z.[Zhirui], Hu, Q.[Qiang], Yu, J.Y.[Jing-Yi], Xu, L.[Lan], Wu, M.[Minye],
VideoRF: Rendering Dynamic Radiance Fields as 2D Feature Video Streams,
CVPR24(470-481)
IEEE DOI Code:
WWW Link. 2410
Training, Computational modeling, Redundancy, Pipelines, Space mapping, Streaming media, Rendering (computer graphics) BibRef

Xia, H.C.[Hong-Chi], Lin, Z.H.[Zhi-Hao], Ma, W.C.[Wei-Chiu], Wang, S.[Shenlong],
Video2Game: Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video,
CVPR24(4578-4588)
IEEE DOI 2410
Visualization, Computational modeling, Virtual environments, Games, Transforms, Neural radiance field, Rendering (computer graphics) BibRef

Lu, C.Y.[Cheng-You], Zhou, P.[Peisen], Xing, A.[Angela], Pokhariya, C.[Chandradeep], Dey, A.[Arnab], Shah, I.N.[Ishaan Nikhil], Mavidipalli, R.[Rugved], Hu, D.[Dylan], Comport, A.I.[Andrew I.], Chen, K.[Kefan], Sridhar, S.[Srinath],
DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields,
CVPR24(22466-22476)
IEEE DOI 2410
Visualization, Image segmentation, Shape, Motion segmentation, Dynamics, Video sequences, neural fields, nerf, multiview, multicamera, light stage BibRef

Huang, Y.H.[Yuan-Hui], Zheng, W.Z.[Wen-Zhao], Zhang, B.[Borui], Zhou, J.[Jie], Lu, J.W.[Ji-Wen],
SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction,
CVPR24(19946-19956)
IEEE DOI Code:
WWW Link. 2410
Video sequences, Semantics, Estimation, Transforms, Neural radiance field, Cameras, autonomous driving, occupancy, NeRF BibRef

Luo, X.[Xianrui], Sun, H.Q.[Hui-Qiang], Peng, J.[Juewen], Cao, Z.G.[Zhi-Guo],
Dynamic Neural Radiance Field from Defocused Monocular Video,
ECCV24(V: 142-159).
Springer DOI 2412
BibRef

Sun, H.Q.[Hui-Qiang], Li, X.Y.[Xing-Yi], Shen, L.[Liao], Ye, X.[Xinyi], Xian, K.[Ke], Cao, Z.G.[Zhi-Guo],
DyBluRF: Dynamic Neural Radiance Fields from Blurry Monocular Video,
CVPR24(7517-7527)
IEEE DOI 2410
Dynamics, Coherence, Neural radiance field, Rendering (computer graphics), Cameras, Trajectory BibRef

Li, C.[Chen], Lin, J.H.[Jia-Hao], Lee, G.H.[Gim Hee],
GHuNeRF: Generalizable Human NeRF from a Monocular Video,
3DV24(923-932)
IEEE DOI Code:
WWW Link. 2408
Training, Geometry, Solid modeling, Codes, Image color analysis, Computational modeling BibRef

Wu, M.[Minye], Tuytelaars, T.[Tinne],
NeVRF: Neural Video-Based Radiance Fields for Long-Duration Sequences,
3DV24(1177-1187)
IEEE DOI 2408
Continuing education, Dynamics, Memory, Rendering (computer graphics), Image reconstruction, Videos, NeRF, IBR BibRef

Tian, F.[Fengrui], Du, S.[Shaoyi], Duan, Y.[Yueqi],
MonoNeRF: Learning a Generalizable Dynamic Radiance Field from Monocular Videos,
ICCV23(17857-17867)
IEEE DOI Code:
WWW Link. 2401
BibRef

Liu, J.W.[Jia-Wei], Cao, Y.P.[Yan-Pei], Yang, T.Y.[Tian-Yuan], Xu, Z.C.[Zhong-Cong], Keppo, J.[Jussi], Shan, Y.[Ying], Qie, X.[Xiaohu], Shou, M.Z.[Mike Zheng],
HOSNeRF: Dynamic Human-Object-Scene Neural Radiance Fields from a Single Video,
ICCV23(18437-18448)
IEEE DOI Code:
WWW Link. 2401
BibRef

Tretschk, E.[Edith], Golyanik, V.[Vladislav], Zollhöfer, M.[Michael], Božic, A.[Aljaž], Lassner, C.[Christoph], Theobalt, C.[Christian],
SceNeRFlow: Time-Consistent Reconstruction of General Dynamic Scenes,
3DV24(1424-1435)
IEEE DOI 2408
Deformable models, Adaptation models, Deformation, Tracking, Dynamics, Cameras, dynamic NeRF, general scene, deforming objects, non-rigid BibRef

Bhattacharya, A.[Anish], Madaan, R.[Ratnesh], Cladera, F.[Fernando], Vemprala, S.[Sai], Bonatti, R.[Rogerio], Daniilidis, K.[Kostas], Kapoor, A.[Ashish], Kumar, V.[Vijay], Matni, N.[Nikolai], Gupta, J.K.[Jayesh K.],
EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields,
WACV24(5834-5843)
IEEE DOI 2404
Training, Deformation, Dynamics, Cameras, Rendering (computer graphics), Registers, Applications, Datasets and evaluations BibRef

Hofherr, F.[Florian], Koestler, L.[Lukas], Bernard, F.[Florian], Cremers, D.[Daniel],
Neural Implicit Representations for Physical Parameter Inference from a Single Video,
WACV23(2092-2102)
IEEE DOI 2302
Training, Visualization, Computational modeling, Training data, Predictive models, Ordinary differential equations, image and video synthesis BibRef

Wang, L.[Liao], Hu, Q.[Qiang], He, Q.H.[Qi-Han], Wang, Z.Y.[Zi-Yu], Yu, J.Y.[Jing-Yi], Tuytelaars, T.[Tinne], Xu, L.[Lan], Wu, M.[Minye],
Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos,
CVPR23(76-87)
IEEE DOI 2309
BibRef

Prokudin, S.[Sergey], Ma, Q.L.[Qian-Li], Raafat, M.[Maxime], Valentin, J.[Julien], Tang, S.[Siyu],
Dynamic Point Fields,
ICCV23(7930-7942)
IEEE DOI 2401
BibRef

Bai, H.T.[Hao-Tian], Lin, Y.Q.[Yi-Qi], Chen, Y.Z.[Yi-Ze], Wang, L.[Lin],
Dynamic PlenOctree for Adaptive Sampling Refinement in Explicit NeRF,
ICCV23(8751-8761)
IEEE DOI 2401
BibRef

Shao, R.Z.[Rui-Zhi], Zheng, Z.[Zerong], Tu, H.Z.[Han-Zhang], Liu, B.[Boning], Zhang, H.W.[Hong-Wen], Liu, Y.B.[Ye-Bin],
Tensor4D: Efficient Neural 4D Decomposition for High-Fidelity Dynamic Reconstruction and Rendering,
CVPR23(16632-16642)
IEEE DOI 2309
BibRef

Park, S.[Sungheon], Son, M.[Minjung], Jang, S.[Seokhwan], Ahn, Y.C.[Young Chun], Kim, J.Y.[Ji-Yeon], Kang, N.[Nahyup],
Temporal Interpolation is all You Need for Dynamic Neural Radiance Fields,
CVPR23(4212-4221)
IEEE DOI 2309
BibRef

Yan, Z.W.[Zhi-Wen], Li, C.[Chen], Lee, G.H.[Gim Hee],
NeRF-DS: Neural Radiance Fields for Dynamic Specular Objects,
CVPR23(8285-8295)
IEEE DOI 2309
BibRef

Liu, Y.L.[Yu-Lun], Gao, C.[Chen], Meuleman, A.[Andreas], Tseng, H.Y.[Hung-Yu], Saraf, A.[Ayush], Kim, C.[Changil], Chuang, Y.Y.[Yung-Yu], Kopf, J.[Johannes], Huang, J.B.[Jia-Bin],
Robust Dynamic Radiance Fields,
CVPR23(13-23)
IEEE DOI 2309
BibRef

Giebenhain, S.[Simon], Waldmann, U.[Urs], Johannsen, O.[Ole], Goldluecke, B.[Bastian],
Neural Puppeteer: Keypoint-based Neural Rendering of Dynamic Shapes,
ACCV22(IV:239-256).
Springer DOI 2307
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

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

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

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

Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Novel View Systhesis Using Neural Radiance Fields, NeRF .


Last update:Jan 20, 2025 at 11:36:25