FullPart: Generating each 3D Part at Full Resolution
Part-based 3D generation holds great potential for various applications.
Previous part generators that represent parts using implicit vector-set tokens
often suffer from insufficient geometric details. Another line of work adopts
an explicit voxel representation but shares a global voxel grid among all
parts; this often causes small parts to occupy too few voxels, leading to
degraded quality. In this paper, we propose FullPart, a novel framework that
combines both implicit and explicit paradigms. It first derives the bounding
box layout through an implicit box vector-set diffusion process, a task that
implicit diffusion handles effectively since box tokens contain little
geometric detail. Then, it generates detailed parts, each within its own fixed
full-resolution voxel grid. Instead of sharing a global low-resolution space,
each part in our method - even small ones - is generated at full resolution,
enabling the synthesis of intricate details. We further introduce a
center-point encoding strategy to address the misalignment issue when
exchanging information between parts of different actual sizes, thereby
maintaining global coherence. Moreover, to tackle the scarcity of reliable part
data, we present PartVerse-XL, the largest human-annotated 3D part dataset to
date with 40K objects and 320K parts. Extensive experiments demonstrate that
FullPart achieves state-of-the-art results in 3D part generation. We will
release all code, data, and model to benefit future research in 3D part
generation.
69041ae72c556835fa67f06c
Lihe Ding
69041ae72c556835fa67f06d
Shaocong Dong
69041ae72c556835fa67f06e
Yaokun Li
69041ae72c556835fa67f06f
Chenjian Gao
69041ae72c556835fa67f070
Xiao Chen
69041ae72c556835fa67f071
Rui Han
69041ae72c556835fa67f072
Yihao Kuang
69041ae72c556835fa67f073
Hong Zhang
69041ae72c556835fa67f074
Bo Huang
69041ae72c556835fa67f075
Zhanpeng Huang
69041ae72c556835fa67f076
Zibin Wang
69041ae72c556835fa67f077
Dan Xu
claimed_verified
2025-10-31T14:27:08.749Z
66feab48651e00e22f33222e
/avatars/7344377e2c796c7ec85194bb2fc78521.svg
Dan Xu
danxuhk
user
danxuhk
69041ae72c556835fa67f078
Tianfan Xue
FullPart: Generating each 3D Part at Full Resolution
Part-based 3D generation holds great potential for various applications.
Previous part generators that represent parts using implicit vector-set tokens
often suffer from insufficient geometric details. Another line of work adopts
an explicit voxel representation but shares a global voxel grid among all
parts; this often causes small parts to occupy too few voxels, leading to
degraded quality. In this paper, we propose FullPart, a novel framework that
combines both implicit and explicit paradigms. It first derives the bounding
box layout through an implicit box vector-set diffusion process, a task that
implicit diffusion handles effectively since box tokens contain little
geometric detail. Then, it generates detailed parts, each within its own fixed
full-resolution voxel grid. Instead of sharing a global low-resolution space,
each part in our method - even small ones - is generated at full resolution,
enabling the synthesis of intricate details. We further introduce a
center-point encoding strategy to address the misalignment issue when
exchanging information between parts of different actual sizes, thereby
maintaining global coherence. Moreover, to tackle the scarcity of reliable part
data, we present PartVerse-XL, the largest human-annotated 3D part dataset to
date with 40K objects and 320K parts. Extensive experiments demonstrate that
FullPart achieves state-of-the-art results in 3D part generation. We will
release all code, data, and model to benefit future research in 3D part
generation.
FullPart combines implicit and explicit paradigms for 3D part generation, using implicit diffusion for bounding box layout and full-resolution voxel grids for detailed part generation, with a center-point encoding strategy to maintain global coherence.
implicit vector-set tokens voxel representation implicit box vector-set diffusion full-resolution voxel grid center-point encoding strategy PartVerse-XL