168 citations · 239 across the 15 of their papers we have counts for
5 papers · 1 filter
Learning Realistic Athletic Sprinting Without Demonstrations
William Wang, Nicholas Bianco, Guy Tevet +4
We present a muscle-driven simulation system for generating biomechanically accurate motion for high-speed athletic locomotion tasks that does not require motion demonstrations. Ou…
SMP: Reusable Score-Matching Motion Priors for Physics-Based Character Control
Yuxuan Mu, Ziyu Zhang, Yi Shi +9
Data-driven motion priors that can guide agents toward producing naturalistic behaviors play a pivotal role in creating life-like virtual characters. Adversarial imitation learning…
Generating Detailed Character Motion from Blocking Poses
Purvi Goel, Guy Tevet, C. K. Liu +1
We focus on the problem of using generative diffusion models for the task of motion detailing: converting a rough version of a character animation, represented by a sparse set of c…
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark
Yaron Aloni, Rotem Shalev-Arkushin, Yonatan Shafir +3
Dynamic facial expression generation from natural language is a crucial task in Computer Graphics, with applications in Animation, Virtual Avatars, and Human-Computer Interaction.…
AnyTop: Character Animation Diffusion with Any Topology
Inbar Gat, Sigal Raab, Guy Tevet +3
Generating motion for arbitrary skeletons is a longstanding challenge in computer graphics, remaining largely unexplored due to the scarcity of diverse datasets and the irregular n…