1 citations · 1 across the 6 of their papers we have counts for
7 papers
SynAgent: Generalizable Cooperative Humanoid Manipulation via Solo-to-Cooperative Agent Synergy
Wei Yao, Haohan Ma, Hongwen Zhang +5
Controllable cooperative humanoid manipulation is a fundamental yet challenging problem for embodied intelligence, due to severe data scarcity, complexities in multi-agent coordina…
PhysiInter: Integrating Physical Mapping for High-Fidelity Human Interaction Generation
Wei Yao, Yunlian Sun, Chang Liu +2
Driven by advancements in motion capture and generative artificial intelligence, leveraging large-scale MoCap datasets to train generative models for synthesizing diverse, realisti…
HOSIG: Full-Body Human-Object-Scene Interaction Generation with Hierarchical Scene Perception
Wei Yao, Yunlian Sun, Hongwen Zhang +2
Generating high-fidelity full-body human interactions with dynamic objects and static scenes remains a critical challenge in computer graphics and animation. Existing methods for h…
ReCoM: Realistic Co-Speech Motion Generation with Recurrent Embedded Transformer
Yong Xie, Yunlian Sun, Hongwen Zhang +2
We present ReCoM, an efficient framework for generating high-fidelity and generalizable human body motions synchronized with speech. The core innovation lies in the Recurrent Embed…
STAF: 3D Human Mesh Recovery from Video with Spatio-Temporal Alignment Fusion
Wei Yao, Hongwen Zhang, Yunlian Sun +1
The recovery of 3D human mesh from monocular images has significantly been developed in recent years. However, existing models usually ignore spatial and temporal information, whic…
FG-MDM: Towards Zero-Shot Human Motion Generation via ChatGPT-Refined Descriptions
Xu Shi, Wei Yao, Chuanchen Luo +3
Recently, significant progress has been made in text-based motion generation, enabling the generation of diverse and high-quality human motions that conform to textual descriptions…
W-HMR: Monocular Human Mesh Recovery in World Space with Weak-Supervised Calibration
Wei Yao, Hongwen Zhang, Yunlian Sun +2
Previous methods for 3D human motion recovery from monocular images often fall short due to reliance on camera coordinates, leading to inaccuracies in real-world applications. The…