1 citations · 2 across the 9 of their papers we have counts for
5 papers · 1 filter
Streaming Multi-Track Timeline Control for 3D Human Motion Generation
Yangsong Zhang, Anujith Muraleedharan, Rikhat Akizhanov +3
Text-driven human motion generation has advanced substantially, yet most methods assume instructions are available before synthesis. Interactive applications require responding to…
PACT: End-to-End Learning of Human Pose, Contacts, and Forces from Video
Rikhat Akizhanov, Yangsong Zhang, Nikolai Kaliazin +5
Human motion, environmental contacts, and interaction forces are governed by common physical laws, yet existing approaches typically separate visual pose reconstruction from contac…
ActCam: Zero-Shot Joint Camera and 3D Motion Control for Video Generation
Omar El Khalifi, Thomas Rossi, Oscar Fossey +6
For artistic applications, video generation requires fine-grained control over both performance and cinematography, i.e., the actor's motion and the camera trajectory. We present A…
MessyKitchens: Contact-rich object-level 3D scene reconstruction
Junaid Ahmed Ansari, Ran Ding, Fabio Pizzati +1
Monocular 3D scene reconstruction has recently seen significant progress. Powered by the modern neural architectures and large-scale data, recent methods achieve high performance i…
PhysMoDPO: Physically-Plausible Humanoid Motion with Preference Optimization
Yangsong Zhang, Anujith Muraleedharan, Rikhat Akizhanov +5
Recent progress in text-conditioned human motion generation has been largely driven by diffusion models trained on large-scale human motion data. Building on this progress, recent…