1 citations · 1 across the 9 of their papers we have counts for
6 papers · 2 filters
Active Intelligence in Video Avatars via Closed-loop World Modeling
Xuanhua He, Tianyu Yang, Ke Cao +6
Current video avatar generation methods excel at identity preservation and motion alignment but lack genuine agency, they cannot autonomously pursue long-term goals through adaptiv…
MAViD: A Multimodal Framework for Audio-Visual Dialogue Understanding and Generation
Youxin Pang, Jiajun Liu, Lingfeng Tan +6
We propose MAViD, a novel Multimodal framework for Audio-Visual Dialogue understanding and generation. Existing approaches primarily focus on non-interactive systems and are limite…
LongCat-Video Technical Report
Meituan LongCat Team, Xunliang Cai, Qilong Huang +8
Video generation is a critical pathway toward world models, with efficient long video inference as a key capability. Toward this end, we introduce LongCat-Video, a foundational vid…
InfiniteTalk: Audio-driven Video Generation for Sparse-Frame Video Dubbing
Shaoshu Yang, Zhe Kong, Feng Gao +8
Recent breakthroughs in video AIGC have ushered in a transformative era for audio-driven human animation. However, conventional video dubbing techniques remain constrained to mouth…
DAM-VSR: Disentanglement of Appearance and Motion for Video Super-Resolution
Zhe Kong, Le Li, Yong Zhang +8
Real-world video super-resolution (VSR) presents significant challenges due to complex and unpredictable degradations. Although some recent methods utilize image diffusion models f…
Let Them Talk: Audio-Driven Multi-Person Conversational Video Generation
Zhe Kong, Feng Gao, Yong Zhang +5
Audio-driven human animation methods, such as talking head and talking body generation, have made remarkable progress in generating synchronized facial movements and appealing visu…