PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions

19 March 2020

Papers citing "PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions"

9 / 9 papers shown

Title
StructRe: Rewriting for Structured Shape Modeling Jie-Chao Wang Hao Pan Yang Liu Xin Tong Taku Komura Wenping Wang 24 0 0 29 Nov 2023
Score-PA: Score-based 3D Part Assembly Junfeng Cheng Mingdong Wu Ruiyuan Zhang Guanqi Zhan Chao Wu Hao Dong 26 8 0 08 Sep 2023
Scan2Part: Fine-grained and Hierarchical Part-level Understanding of Real-World 3D Scans A. Notchenko Vladislav Ishimtsev Alexey Artemov V. Selyutin Emil Bogomolov Evgeny Burnaev 3DPC 3DV 27 3 0 06 Jun 2022
Generate Point Clouds with Multiscale Details from Graph-Represented Structures Ximing Yang Zhibo Zhang Zhengfu He Cheng Jin 3DPC 13 1 0 13 Dec 2021
EditVAE: Unsupervised Part-Aware Controllable 3D Point Cloud Shape Generation Shidi Li Miaomiao Liu Christian J. Walder 3DPC 52 28 0 13 Oct 2021
Generating Datasets of 3D Garments with Sewing Patterns Maria Korosteleva Sung-Hee Lee 11 36 0 12 Sep 2021
RGL-NET: A Recurrent Graph Learning framework for Progressive Part Assembly A. N. Harish R. Nagar S. Raman 25 35 0 27 Jul 2021
Image Generation from Scene Graphs Justin Johnson Agrim Gupta Li Fei-Fei GNN 223 815 0 04 Apr 2018
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 171 1,940 0 24 Oct 2016