AI RESEARCH
UniPart: Part-Level 3D Generation with Unified 3D Geom-Seg Latents
arXiv CS.CV
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ArXi:2512.09435v3 Announce Type: replace Part-level 3D generation is essential for applications requiring decomposable and structured 3D synthesis. However, existing methods either rely on implicit part segmentation with limited granularity control or depend on strong external segmenters trained on large annotated datasets. In this work, we observe that part awareness emerges naturally during whole-object geometry learning and propose Geom-Seg VecSet, a unified geometry-segmentation latent representation that jointly encodes object geometry and part-level structure.