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 .