AniGen: Unified $S^3$ Fields for Animatable 3D Asset Generation
Animatable 3D assets, defined as geometry equipped with an articulated skeleton and skinning weights, are fundamental to interactive graphics, embodied agents, and animation production. While recent 3D generative models can synthesize visually plausible shapes from images, the results are typically static. Obtaining usable rigs via post-hoc auto-rigging is brittle and often produces skeletons that are topologically inconsistent with the generated geometry. We present AniGen, a unified framework that directly generates animate-ready 3D assets conditioned on a single image. Our key insight is to represent shape, skeleton, and skinning as mutually consistent $S^3$ Fields (Shape, Skeleton, Sk...
| Authors | Yi-Hua Huang, Zi-Xin Zou, Yuting He et al. |
|---|---|
| Primary category | cs.GR |
| Published | 9 April 2026 |
| Last updated at source | 14 April 2026 |
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