OmniPart: Part-Aware 3D Generation with Semantic Decoupling and
  Structural Cohesion
Authors: name: Yunhan Yang; name: Yufan Zhou; name: Yuan-Chen Guo; name: Zi-Xin Zou; name: Yukun Huang; name: Ying-Tian Liu; name: Hao Xu; name: Ding Liang; name: Yan-Pei Cao; name: Xihui Liu
Published: 2025-07-08 16:46:15

Abstract: The creation of 3D assets with explicit, editable part structures is crucial
for advancing interactive applications, yet most generative methods produce
only monolithic shapes, limiting their utility. We introduce OmniPart, a novel
framework for part-aware 3D object generation designed to achieve high semantic
decoupling among components while maintaining robust structural cohesion.
OmniPart uniquely decouples this complex task into two synergistic stages: (1)
an autoregressive structure planning module generates a controllable,
variable-length sequence of 3D part bounding boxes, critically guided by
flexible 2D part masks that allow for intuitive control over part decomposition
without requiring direct correspondences or semantic labels; and (2) a
spatially-conditioned rectified flow model, efficiently adapted from a
pre-trained holistic 3D generator, synthesizes all 3D parts simultaneously and
consistently within the planned layout. Our approach supports user-defined part
granularity, precise localization, and enables diverse downstream applications.
Extensive experiments demonstrate that OmniPart achieves state-of-the-art
performance, paving the way for more interpretable, editable, and versatile 3D
content.