8 papers
FlowAct-R1: Towards Interactive Humanoid Video Generation
Lizhen Wang, Yongming Zhu, Zhipeng Ge +15
Interactive humanoid video generation aims to synthesize lifelike visual agents that can engage with humans through continuous and responsive video. Despite recent advances in vide…
Bridging Your Imagination with Audio-Video Generation via a Unified Director
Jiaxu Zhang, Tianshu Hu, Yuan Zhang +4
Existing AI-driven video creation systems typically treat script drafting and key-shot design as two disjoint tasks: the former relies on large language models, while the latter de…
EGM: Efficiently Learning General Motion Tracking Policy for High Dynamic Humanoid Whole-Body Control
Chao Yang, Yingkai Sun, Peng Ye +3
Learning a general motion tracking policy from human motions shows great potential for versatile humanoid whole-body control. Conventional approaches are not only inefficient in da…
Video-As-Prompt: Unified Semantic Control for Video Generation
Yuxuan Bian, Xin Chen, Zenan Li +4
Unified, generalizable semantic control in video generation remains a critical open challenge. Existing methods either introduce artifacts by enforcing inappropriate pixel-wise pri…
Motion2Motion: Cross-topology Motion Transfer with Sparse Correspondence
Ling-Hao Chen, Yuhong Zhang, Zixin Yin +5
This work studies the challenge of transfer animations between characters whose skeletal topologies differ substantially. While many techniques have advanced retargeting techniques…
X-Actor: Emotional and Expressive Long-Range Portrait Acting from Audio
Chenxu Zhang, Zenan Li, Hongyi Xu +8
We present X-Actor, a novel audio-driven portrait animation framework that generates lifelike, emotionally expressive talking head videos from a single reference image and an input…