OmniLatent: unified latent for part-aware 3D asset generation from a single image

Yunhan Yang · hf · 2026-11-09

Researchers from HKU, Tencent Technology, and CUHK present OmniLatent, which jointly encodes geometry, deformation, appearance, and part identifiers in a shared latent space, enabling generation of part-aware 3D assets from a single image with interactive editing: segmentation, refinement, subdivision, and amodal completion.

Original post →

More from Multimodal

Multimodal channel →