CVPR2025
EnvPoser: Environment-aware Realistic Human Motion Estimation from Sparse Observations with Uncertainty Modeling
Songpengcheng Xia, Yu Zhang, Zhuo Su, Xiaozheng Zheng, Zheng Lv, Guidong Wang, Yongjie Zhang, Qi Wu, Lei Chu, Ling Pei
摘要
This supplementary material provides additional information to complement our main paper. Sec. A details the network architecture and training procedures of our proposed method. Sec. B summarizes the datasets used in our study. Sec. C presents extended ablation studies, encompassing various environment points sampling strategy and further analysis of component design. Sec. D showcases additional qualitative comparisons between our approach and state-of-the-art methods. Finally, Sec. E summarizes our work, discusses its limitations, and outlines potential directions for future research.