3 papers
cs.CV2026
EMOSH: Expressive Motion and Shape Disentanglement for Human Animation
Dongbin Zhang, Hao Liu, Binquan Dai +5
High-fidelity and expressive controllable human animation is essential for content creation and digital avatar applications. However, existing methods face a dilemma between expres…
cs.CL2024
Towards Objectively Benchmarking Social Intelligence for Language Agents at Action Level
Chenxu Wang, Bin Dai, Huaping Liu +1
Prominent large language models have exhibited human-level performance in many domains, even enabling the derived agents to simulate human and social interactions. While practical…
cs.CV2023
AgentAvatar: Disentangling Planning, Driving and Rendering for Photorealistic Avatar Agents
Duomin Wang, Bin Dai, Yu Deng +1
In this study, our goal is to create interactive avatar agents that can autonomously plan and animate nuanced facial movements realistically, from both visual and behavioral perspe…