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cs.CV2025
AudCast: Audio-Driven Human Video Generation by Cascaded Diffusion Transformers
Jiazhi Guan, Kaisiyuan Wang, Zhiliang Xu +12
Despite the recent progress of audio-driven video generation, existing methods mostly focus on driving facial movements, leading to non-coherent head and body dynamics. Moving forw…
cs.CV2025
Re-HOLD: Video Hand Object Interaction Reenactment via adaptive Layout-instructed Diffusion Model
Yingying Fan, Quanwei Yang, Kaisiyuan Wang +6
Current digital human studies focusing on lip-syncing and body movement are no longer sufficient to meet the growing industrial demand, while human video generation techniques that…
cs.CV2025
Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language Models
Guosheng Zhang, Keyao Wang, Haixiao Yue +5
Face Anti-Spoofing (FAS) is essential for ensuring the security and reliability of facial recognition systems. Most existing FAS methods are formulated as binary classification tas…