3D Asset Generation: Generating Action Primitives

Students: Nathalie Chang, Yuqin Jiao | Advisor: Kris Kitani, Xiaoxuan Ma

Results

Non-rigging

Temporally Consistent Mesh Sequence Generation

We qualitatively compared our temporally consistent mesh generation method with ActionMesh’s feed-forward video-to-mesh sequence generation, which is mostly trained on simple cases, on a video case where the shape/topology changes a lot over time. ActionMesh’s results have obvious artifacts in most frames, while our method successfully generated high-quality meshes and maintained temporal consistency.

Rigging

For the first semester, we have constructed an interactive deterministic Rig Editor for skeleton editing, validation, and export. It includes core editing tools: MOVE, REMOVE, INSERT ON EDGE, and ADD LEAF. This video shows the operations of the app.