no code implementations • 26 Jun 2024 • Qingxuan Wu, Zhiyang Dou, Sirui Xu, Soshi Shimada, Chen Wang, Zhengming Yu, YuAn Liu, Cheng Lin, Zeyu Cao, Taku Komura, Vladislav Golyanik, Christian Theobalt, Wenping Wang, Lingjie Liu
The first and only method for hand-face interaction recovery, Decaf, introduces a global fitting optimization guided by contact and deformation estimation networks trained on studio-collected data with 3D annotations.
no code implementations • 28 Mar 2024 • Sirui Xu, Ziyin Wang, Yu-Xiong Wang, Liang-Yan Gui
However, extending such success to 3D dynamic human-object interaction (HOI) generation faces notable challenges, primarily due to the lack of large-scale interaction data and comprehensive descriptions that align with these interactions.
1 code implementation • ICCV 2023 • Sirui Xu, Zhengyuan Li, Yu-Xiong Wang, Liang-Yan Gui
This paper addresses a novel task of anticipating 3D human-object interactions (HOIs).
1 code implementation • 8 Jun 2023 • Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui
This paper aims to deal with the ignored real-world complexities in prior work on human motion forecasting, emphasizing the social properties of multi-person motion, the diversity of motion and social interactions, and the complexity of articulated motion.
1 code implementation • 9 Feb 2023 • Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui
Predicting diverse human motions given a sequence of historical poses has received increasing attention.
Ranked #1 on
Human Pose Forecasting
on Human3.6M
(MMADE metric)