Deep Physics-aware Inference of Cloth Deformation for Monocular Human Performance Capture

Author:

Li Yue1,Habermann Marc1,Thomaszewski Bernhard2,Coros Stelian2,Beeler Thabo3,Theobalt Christian1

Affiliation:

1. Max Planck Institute for Informatics

2. ETH Zurich

3. Google Inc.

Publisher

IEEE

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Artificial Intelligence for Spectral Analysis: Challenges and Opportunities;2023 IEEE International Conference on Big Data (BigData);2023-12-15

2. SAILOR: Synergizing Radiance and Occupancy Fields for Live Human Performance Capture;ACM Transactions on Graphics;2023-12-05

3. PGN-Cloth: Physics-based graph network model for 3D cloth animation;Displays;2023-12

4. Clothed Human Performance Capture with a Double-layer Neural Radiance Fields;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

5. State of the Art in Dense Monocular Non‐Rigid 3D Reconstruction;Computer Graphics Forum;2023-05

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