4D Visualization of Dynamic Events From Unconstrained Multi-View Videos
Aayush Bansal, Minh Vo, Yaser Sheikh, Deva Ramanan, Srinivasa G. Narasimhan
2020Year
48Top-tier citations
Abstract
3D space time (1) freeze the time (2) freeze the view (3) vary both time and view (1) (2) (3) (4) see behind the occlusions What can we do with 4D visualization? original edited zoom-in view … Figure 1. We can create virtual cameras that facilitate: (1) freezing the time and exploring views (red); (2) freezing a view and moving through time (green); (3) varying both time and view (blue); and (4) seeing behind the occlusions (yellow).
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Cited by top-tier papers48
- Dynamic View Synthesis from Dynamic Monocular VideoChen Gao, Ayush Saraf, Johannes Kopf, Jia-Bin HuangICCV 2021 · 522 citations
- Neural Radiance Flow for 4D View Synthesis and Video ProcessingYilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B. Tenenbaum et al.ICCV 2021 · 329 citations
- Neural 3D Video Synthesis from Multi-view VideoTianye Li, Mira Slavcheva, Michael Zollhöfer, Simon Green et al.CVPR 2022 · 324 citations
- NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance FieldsLiangchen Song, Anpei Chen, Zhong Li, Zhang Chen et al.IEEE VR 2023 · 246 citations
- EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-SupervisionJiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng et al.ICLR 2024 · 225 citations
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