SAGNet:Structure-aware Generative Network for 3D-Shape Modeling

SAGNet:Structure-aware Generative Network for 3D-Shape Modeling

12 August 2018

Dani Lischinski

Daniel Cohen-Or

Papers citing "SAGNet:Structure-aware Generative Network for 3D-Shape Modeling"

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
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
Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled Primitives Xinke Li Henghui Ding Zekun Tong Yuwei Wu Yeow Meng Chee DD 29 4 0 25 May 2022
RGL-NET: A Recurrent Graph Learning framework for Progressive Part Assembly A. N. Harish R. Nagar S. Raman 25 35 0 27 Jul 2021
Learning 3D Part Assembly from a Single Image Yichen Li Kaichun Mo Lin Shao Minhyuk Sung Leonidas J. Guibas 14 68 0 21 Mar 2020
Instant recovery of shape from spectrum via latent space connections R. Marin Arianna Rampini U. Castellani Emanuele Rodolà M. Ovsjanikov Simone Melzi 22 20 0 14 Mar 2020
A Survey on Deep Geometry Learning: From a Representation Perspective Yun-Peng Xiao Yu-Kun Lai Fang-Lue Zhang Chunpeng Li Lin Gao 3DH AI4TS 32 100 0 19 Feb 2020
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 168 1,940 0 24 Oct 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 230 2,545 0 25 Jan 2016