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

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

17 September 2020

Niloy J. Mitra

Daniel E. Ritchie

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

7 / 7 papers shown

Title
GeoCode: Interpretable Shape Programs Ofek Pearl Itai Lang Yuhua Hu Raymond A. Yeh Rana Hanocka 35 14 0 19 Dec 2022
Seg&Struct: The Interplay Between Part Segmentation and Structure Inference for 3D Shape Parsing Jeonghyun Kim Kaichun Mo Minhyuk Sung Woontack Woo 3DPC 27 1 0 01 Nov 2022
Learning Body-Aware 3D Shape Generative Models Bryce Blinn Alexander Ding R. K. Jones Manolis Savva Srinath Sridhar Daniel E. Ritchie 3DH 21 5 0 13 Dec 2021
RGL-NET: A Recurrent Graph Learning framework for Progressive Part Assembly A. N. Harish R. Nagar Shanmuganathan Raman 33 35 0 27 Jul 2021
Fabrication-Aware Reverse Engineering for Carpentry James Noeckel Haisen Zhao Brian L. Curless Adriana Schulz 19 2 0 21 Jul 2021
Volumetric Procedural Models for Shape Representation Andrew R. Willis Prashant Ganesh Kyle Volle Jincheng Zhang Kevin Brink 11 6 0 22 Mar 2021
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 186 1,941 0 24 Oct 2016