1 citations · 1 across the 4 of their papers we have counts for
4 papers
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.,…
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…
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…
CharacterGen: Efficient 3D Character Generation from Single Images with Multi-View Pose Canonicalization
Hao-Yang Peng, Jia-Peng Zhang, Meng-Hao Guo +2
In the field of digital content creation, generating high-quality 3D characters from single images is challenging, especially given the complexities of various body poses and the i…