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ShapeAssembly: Learning to Generate Programs for 3D Shape Structure
  Synthesis

ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis

17 September 2020
R. K. Jones
Theresa Barton
Xianghao Xu
Kai Wang
Ellen Jiang
Paul Guerrero
Niloy J. Mitra
Daniel E. Ritchie
ArXivPDFHTML

Papers citing "ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis"

6 / 6 papers shown
Title
GeoCode: Interpretable Shape Programs
GeoCode: Interpretable Shape Programs
Ofek Pearl
Itai Lang
Yuhua Hu
Raymond A. Yeh
Rana Hanocka
35
14
0
19 Dec 2022
Learning Body-Aware 3D Shape Generative Models
Learning Body-Aware 3D Shape Generative Models
Bryce Blinn
Alexander Ding
R. K. Jones
Manolis Savva
Srinath Sridhar
Daniel E. Ritchie
3DH
16
5
0
13 Dec 2021
RGL-NET: A Recurrent Graph Learning framework for Progressive Part
  Assembly
RGL-NET: A Recurrent Graph Learning framework for Progressive Part Assembly
A. N. Harish
R. Nagar
S. Raman
25
35
0
27 Jul 2021
Fabrication-Aware Reverse Engineering for Carpentry
Fabrication-Aware Reverse Engineering for Carpentry
James Noeckel
Haisen Zhao
Brian L. Curless
Adriana Schulz
14
2
0
21 Jul 2021
Volumetric Procedural Models for Shape Representation
Volumetric Procedural Models for Shape Representation
Andrew R. Willis
Prashant Ganesh
Kyle Volle
Jincheng Zhang
Kevin Brink
6
6
0
22 Mar 2021
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
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
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