Shape of Motion: 4D Reconstruction from a Single Video

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A fusion approach for multi-frame optical flow estimation

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Flownet3d++: Geometric losses for deep scene flow estimation

Zirui Wang, Shuda Li, Henry Howard-Jenkins, Victor Adrian Prisacariu, and Min Chen · 2019

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4d visualization of dynamic events from unconstrained multi-view videos

Aayush Bansal, Minh Vo, Yaser Sheikh, Deva Ramanan, and Srinivasa Narasimhan · 2020

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Immersive light field video with a layered mesh representation

Humanrf: High-fidelity neural radiance fields for humans in motion

Mustafa Işık, Martin Rünz, Markos Georgopoulos, Taras Khakhulin, Jonathan Starck, Lourdes Agapito, and Matthias Nießner · 2023

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Segment anything

Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, and Ross B. Girshick · 2023

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Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker, and Noah Snavely · 2023

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Videoflow: Exploiting temporal cues for multi-frame optical flow estimation

Xiaoyu Shi, Zhaoyang Huang, Weikang Bian, Dasong Li, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, and Hongsheng Li · 2023

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Nerfplayer: A streamable dynamic scene representation with decomposed neural radiance fields

Liangchen Song, Anpei Chen, Zhong Li, Zhang Chen, Lele Chen, Junsong Yuan, Yi Xu, and Andreas Geiger · 2023

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