DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross
Diffusion

DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion

3 May 2023

Kiyohiro Nakayama

Mikaela Angelina Uy

Jiahui Huang

Leonidas J. Guibas

Papers citing "DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion"

7 / 7 papers shown

Title
Articulate AnyMesh: Open-Vocabulary 3D Articulated Objects Modeling Xiaowen Qiu Jincheng Yang Yian Wang Zhehuan Chen Yufei Wang Tsun-Hsuan Wang Zhou Xian Chuang Gan 76 4 0 04 Feb 2025
Part-aware Shape Generation with Latent 3D Diffusion of Neural Voxel Fields Yuhang Huang SHilong Zou Xinwang Liu K. Xu DiffM 54 0 0 02 May 2024
Neural Wavelet-domain Diffusion for 3D Shape Generation Ka-Hei Hui Ruihui Li Jingyu Hu Chi-Wing Fu DiffM 50 123 0 19 Sep 2022
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion Zhaoyang Lyu Zhifeng Kong Xudong Xu Liang Pan Dahua Lin DiffM BDL 203 95 0 07 Dec 2021
EditVAE: Unsupervised Part-Aware Controllable 3D Point Cloud Shape Generation Shidi Li Miaomiao Liu Christian J. Walder 3DPC 34 18 0 13 Oct 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 164 711 0 02 Mar 2021
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 210 13,886 0 02 Dec 2016