Latest from Stanford and Adobe Researchers: Inferring 3D human motion from video

Deep Learning/Papers2read 2020. 7. 25. 14:19

Latest from Stanford and Adobe Researchers: Inferring 3D human motion from video sequences that takes initial 2D and 3D pose estimates as input.
For project and code/expert/API requests: https://www.catalyzex.com/paper/arxiv:2007.11678.
This process produces motions that are significantly more realistic than those from purely kinematic methods, substantially improving quantitative measures of both kinematic and dynamic plausibility.

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