"3d shape generation" Papers

10 papers found

Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention

Shuang Wu, Youtian Lin, Feihu Zhang et al.

NEURIPS 2025arXiv:2505.17412
37
citations

Geometry Image Diffusion: Fast and Data-Efficient Text-to-3D with Image-Based Surface Representation

Slava Elizarov, Ciara Rowles, Simon Donné

ICLR 2025arXiv:2409.03718
14
citations

PASTA: Part-Aware Sketch-to-3D Shape Generation with Text-Aligned Prior

Seunggwan Lee, Hwanhee Jung, ByoungSoo Koh et al.

ICCV 2025arXiv:2503.12834
2
citations

Representing 3D Shapes With 64 Latent Vectors for 3D Diffusion Models

In Cho, Youngbeom Yoo, Subin Jeon et al.

ICCV 2025arXiv:2503.08737
2
citations

Unleashing Vecset Diffusion Model for Fast Shape Generation

Zeqiang Lai, Zhao Yunfei, Zibo Zhao et al.

ICCV 2025highlightarXiv:2503.16302
14
citations

HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation

Zhiying Leng, Tolga Birdal, Xiaohui Liang et al.

CVPR 2024arXiv:2403.00372
6
citations

Make-A-Shape: a Ten-Million-scale 3D Shape Model

Ka-Hei Hui, Aditya Sanghi, Arianna Rampini et al.

ICML 2024arXiv:2401.11067
28
citations

Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation

Philipp Schröppel, Christopher Wewer, Jan Lenssen et al.

CVPR 2024arXiv:2312.14124
10
citations

NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generation

Ruikai Cui, Weizhe Liu, Weixuan Sun et al.

ECCV 2024arXiv:2403.18241
14
citations

Surf-D: Generating High-Quality Surfaces of Arbitrary Topologies Using Diffusion Models

Zhengming Yu, Zhiyang Dou, Xiaoxiao Long et al.

ECCV 2024arXiv:2311.17050
10
citations