Reference-based Dense Pose Estimation via Partial 3D Point Cloud Matching
Author:
Affiliation:
1. Hokkaido University, Hokkaido, Japan
2. OMRON SINIC X Corporation, Tokyo, Japan
3. OMRON SINIC X Corporation & Tohoku University,, Tokyo, Tohoku, HI, Japan
Funder
japan science and technology agency
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3581783.3612679
Reference12 articles.
1. Pushing the Envelope for RGB-Based Dense 3D Hand Pose Estimation via Neural Rendering
2. BEHAVE: Dataset and Method for Tracking Human Object Interactions
3. DensePose: Dense Human Pose Estimation in the Wild
4. Lepard: Learning partial point cloud matching in rigid and deformable scenes
5. Liqian Ma , Lingjie Liu , Christian Theobalt , and Luc Van Gool . 2021 . Direct Dense Pose Estimation. In 2021 International Conference on 3D Vision. IEEE, 721--730 . Liqian Ma, Lingjie Liu, Christian Theobalt, and Luc Van Gool. 2021. Direct Dense Pose Estimation. In 2021 International Conference on 3D Vision. IEEE, 721--730.
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