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cs.SD2024
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model
Mingyi Shi, Dafei Qin, Leo Ho +4
Conversational scenarios are very common in real-world settings, yet existing co-speech motion synthesis approaches often fall short in these contexts, where one person's audio and…
cs.CV2024
InterAct: Capture and Modelling of Realistic, Expressive and Interactive Activities between Two Persons in Daily Scenarios
Yinghao Huang, Leo Ho, Dafei Qin +2
We address the problem of accurate capture and expressive modelling of interactive behaviors happening between two persons in daily scenarios. Different from previous works which e…
cs.GR2024
Taming Diffusion Probabilistic Models for Character Control
Rui Chen, Mingyi Shi, Shaoli Huang +3
We present a novel character control framework that effectively utilizes motion diffusion probabilistic models to generate high-quality and diverse character animations, responding…