4 papers
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…
DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model
Rongqing Li, Jiaqi Yu, Changsheng Li +3
Deep learning models are usually black boxes when deployed on machine learning platforms. Prior works have shown that the attributes (e.g., the number of convolutional layers) of a…