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SocialMirror: Reconstructing 3D Human Interaction Behaviors from Monocular Videos with Semantic and Geometric Guidance
Qi Xia, Peishan Cong, Ziyi Wang +6
Accurately reconstructing human behavior in close-interaction scenarios is crucial for enabling realistic virtual interactions in augmented reality, precise motion analysis in spor…
Controllable Video Object Insertion via Multi-View Priors
Qi Xia, Peishan Cong, Yichen Yao +3
Video object insertion places a user-specified object in an existing dynamic scene. Existing methods typically condition generation on text or a single reference image. Consequentl…
SemGeoMo: Dynamic Contextual Human Motion Generation with Semantic and Geometric Guidance
Peishan Cong, Ziyi Wang, Yuexin Ma +1
Generating reasonable and high-quality human interactive motions in a given dynamic environment is crucial for understanding, modeling, transferring, and applying human behaviors t…
LaserHuman: Language-guided Scene-aware Human Motion Generation in Free Environment
Peishan Cong, Ziyi Wang, Zhiyang Dou +7
Language-guided scene-aware human motion generation has great significance for entertainment and robotics. In response to the limitations of existing datasets, we introduce LaserHu…