no code implementations • 4 Dec 2023 • Wenyang Zhou, Zhiyang Dou, Zeyu Cao, Zhouyingcheng Liao, Jingbo Wang, Wenjia Wang, YuAn Liu, Taku Komura, Wenping Wang, Lingjie Liu
We introduce Efficient Motion Diffusion Model (EMDM) for fast and high-quality human motion generation.
no code implementations • 3 Jul 2023 • Zhouyingcheng Liao, Vladislav Golyanik, Marc Habermann, Christian Theobalt
However, the former methods typically predict solely static skinning weights, which perform poorly for highly articulated poses, and the latter ones either require dense 3D character scans in different poses or cannot generate an explicit mesh with vertex correspondence over time.
1 code implementation • 28 Jul 2022 • Zhouyingcheng Liao, Jimei Yang, Jun Saito, Gerard Pons-Moll, Yang Zhou
We present the first method that automatically transfers poses between stylized 3D characters without skeletal rigging.
2 code implementations • CVPR 2020 • Chaitanya Patel, Zhouyingcheng Liao, Gerard Pons-Moll
While the low-frequency component is predicted from pose, shape and style parameters with an MLP, the high-frequency component is predicted with a mixture of shape-style specific pose models.