3 papers
cs.CV2026
TopoCap: Learning Topology-Agnostic Motion Priors for Monocular Video-to-Animation
Cheng-Feng Pu, Jia-Peng Zhang, Meng-Hao Guo +2
The explosion of generative 3D assets has created a massive demand for animation, yet current motion capture methods remain brittle, restricted to species-specific templates (e.g.,…
cs.GR2026
Skin Tokens: A Learned Compact Representation for Unified Autoregressive Rigging
Jia-peng Zhang, Cheng-Feng Pu, Meng-Hao Guo +2
The rapid proliferation of generative 3D models has created a critical bottleneck in animation pipelines: rigging. Existing automated methods are fundamentally limited by their app…
cs.GR2025
One Model to Rig Them All: Diverse Skeleton Rigging with UniRig
Jia-Peng Zhang, Cheng-Feng Pu, Meng-Hao Guo +2
The rapid evolution of 3D content creation, encompassing both AI-powered methods and traditional workflows, is driving an unprecedented demand for automated rigging solutions that…