5 papers
Learn2Chat: Rethinking Dyadic Talking Heads via Interaction-Modulated Monologic Priors
Zikai Huang, Siyue Chen, Xuemiao Xu +4
Dyadic conversational motion generation is essential for realistic interactive digital humans. Existing approaches typically model conversational behaviors within unified dyadic ge…
Lagrangian Motion Fields for Long-term Motion Generation
Yifei Yang, Zikai Huang, Chenshu Xu +1
Long-term motion generation is a challenging task that requires producing coherent and realistic sequences over extended durations. Current methods primarily rely on framewise moti…
StableGuard: Towards Unified Copyright Protection and Tamper Localization in Latent Diffusion Models
Haoxin Yang, Bangzhen Liu, Xuemiao Xu +5
The advancement of diffusion models has enhanced the realism of AI-generated content but also raised concerns about misuse, necessitating robust copyright protection and tampering…
Think2Sing: Orchestrating Structured Motion Subtitles for Singing-Driven 3D Head Animation
Zikai Huang, Yihan Zhou, Xuemiao Xu +4
Singing-driven 3D head animation is a challenging yet promising task with applications in virtual avatars, entertainment, and education. Unlike speech, singing involves richer emot…
Beat-It: Beat-Synchronized Multi-Condition 3D Dance Generation
Zikai Huang, Xuemiao Xu, Cheng Xu +4
Dance, as an art form, fundamentally hinges on the precise synchronization with musical beats. However, achieving aesthetically pleasing dance sequences from music is challenging,…