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GRASS: Generative Recursive Autoencoders for Shape Structures
v1v2 (latest)

GRASS: Generative Recursive Autoencoders for Shape Structures

5 May 2017
Jun Li
Kai Xu
S. Chaudhuri
Ersin Yumer
Hao Zhang
Leonidas Guibas
    3DV
ArXiv (abs)PDFHTML

Papers citing "GRASS: Generative Recursive Autoencoders for Shape Structures"

50 / 86 papers shown
Hierarchical Neural Semantic Representation for 3D Semantic Correspondence
Hierarchical Neural Semantic Representation for 3D Semantic Correspondence
Keyu Du
Jingyu Hu
Haipeng Li
Hao Xu
Haibing Huang
Chi-Wing Fu
Shuaicheng Liu
3DV3DH
271
5
0
22 Sep 2025
CharacterMixer: Rig-Aware Interpolation of 3D Characters
CharacterMixer: Rig-Aware Interpolation of 3D Characters
Xiao Zhan
Rao Fu
Daniel E. Ritchie
3DH
302
5
0
23 Feb 2024
Evaluating 3D Shape Analysis Methods for Robustness to Rotation
  Invariance
Evaluating 3D Shape Analysis Methods for Robustness to Rotation InvarianceCanadian Conference on Computer and Robot Vision (CRV), 2023
Supriya Gadi Patil
Angel X. Chang
Manolis Savva
301
1
0
29 May 2023
Text-guided 3D Human Generation from 2D Collections
Text-guided 3D Human Generation from 2D CollectionsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Tsu-Jui Fu
Wenhan Xiong
Yixin Nie
Jingyu Liu
Barlas Ouguz
William Yang Wang
212
3
0
23 May 2023
Neurosymbolic Models for Computer Graphics
Neurosymbolic Models for Computer Graphics
Daniel E. Ritchie
Paul Guerrero
R. K. Jones
Niloy J. Mitra
Adriana Schulz
Karl D. D. Willis
Jiajun Wu
3DV
243
40
0
20 Apr 2023
PartNeRF: Generating Part-Aware Editable 3D Shapes without 3D
  Supervision
PartNeRF: Generating Part-Aware Editable 3D Shapes without 3D SupervisionComputer Vision and Pattern Recognition (CVPR), 2023
Konstantinos Tertikas
Pascalidou Despoina
Boxiao Pan
Jeong Joon Park
Mikaela Angelina Uy
Ioannis Emiris
Yannis Avrithis
Leonidas Guibas
317
42
0
16 Mar 2023
Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly
Unsupervised 3D Shape Reconstruction by Part Retrieval and AssemblyComputer Vision and Pattern Recognition (CVPR), 2023
Xianghao Xu
Paul Guerrero
Matthew Fisher
S. Chaudhuri
Daniel E. Ritchie
3DV
245
12
0
03 Mar 2023
Learning Implicit Functions for Dense 3D Shape Correspondence of Generic
  Objects
Learning Implicit Functions for Dense 3D Shape Correspondence of Generic ObjectsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Feng Liu
Xiaoming Liu
3DPC3DV
227
4
0
29 Dec 2022
Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and
  Text-to-Image Diffusion Models
Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2022
Jiale Xu
Xintao Wang
Weihao Cheng
Yan-Pei Cao
Ying Shan
Xiaohu Qie
Shenghua Gao
810
191
0
28 Dec 2022
Neural Shape Compiler: A Unified Framework for Transforming between
  Text, Point Cloud, and Program
Neural Shape Compiler: A Unified Framework for Transforming between Text, Point Cloud, and Program
Tiange Luo
Honglak Lee
Justin Johnson
407
7
0
25 Dec 2022
Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud
  Analysis
Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud AnalysisIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Qijian Zhang
Xianqiang Lyu
Y. Qian
Yiming Zeng
Juyong Zhang
Ying He
3DPC
318
46
0
17 Dec 2022
3D Part Assembly Generation with Instance Encoded Transformer
3D Part Assembly Generation with Instance Encoded TransformerIEEE Robotics and Automation Letters (RA-L), 2022
Rufeng Zhang
Tao Kong
Weihao Wang
Xuan Han
Mingyu You
ViT
281
22
0
05 Jul 2022
SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation
SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation
Xin-Yang Zheng
Yang Liu
Peng-Shuai Wang
Xin Tong
213
114
0
24 Jun 2022
Scan2Part: Fine-grained and Hierarchical Part-level Understanding of
  Real-World 3D Scans
Scan2Part: Fine-grained and Hierarchical Part-level Understanding of Real-World 3D ScansVISIGRAPP (VISIGRAPP), 2022
A. Notchenko
Vladislav Ishimtsev
Alexey Artemov
V. Selyutin
Emil Bogomolov
Evgeny Burnaev
3DPC3DV
224
4
0
06 Jun 2022
Point Scene Understanding via Disentangled Instance Mesh Reconstruction
Point Scene Understanding via Disentangled Instance Mesh ReconstructionEuropean Conference on Computer Vision (ECCV), 2022
Jiaxiang Tang
Xiaokang Chen
Jingbo Wang
Gang Zeng
311
25
0
31 Mar 2022
RIM-Net: Recursive Implicit Fields for Unsupervised Learning of
  Hierarchical Shape Structures
RIM-Net: Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape StructuresComputer Vision and Pattern Recognition (CVPR), 2022
Chengjie Niu
Manyi Li
Kai Xu
Hao Zhang
AI4CE
238
26
0
30 Jan 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
356
6
0
13 Dec 2021
ReGroup: Recursive Neural Networks for Hierarchical Grouping of Vector
  Graphic Primitives
ReGroup: Recursive Neural Networks for Hierarchical Grouping of Vector Graphic Primitives
S. Chaturvedi
M. Lukác
S. Chaudhuri
151
1
0
23 Nov 2021
Deep Generative Models in Engineering Design: A Review
Deep Generative Models in Engineering Design: A Review
Lyle Regenwetter
Amin Heyrani Nobari
Faez Ahmed
3DVAI4CE
439
290
0
21 Oct 2021
StructFormer: Learning Spatial Structure for Language-Guided Semantic
  Rearrangement of Novel Objects
StructFormer: Learning Spatial Structure for Language-Guided Semantic Rearrangement of Novel Objects
Weiyu Liu
Chris Paxton
Tucker Hermans
Dieter Fox
284
112
0
19 Oct 2021
Representing Shape Collections with Alignment-Aware Linear Models
Representing Shape Collections with Alignment-Aware Linear Models
Romain Loiseau
Tom Monnier
Mathieu Aubry
Loïc Landrieu
3DPC3DV
186
11
0
03 Sep 2021
ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning
  Deformable Shape Generators
ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators
Qi-Xing Huang
Xiangru Huang
Bo Sun
Zaiwei Zhang
Junfeng Jiang
Minh Nguyen
298
46
0
21 Aug 2021
RGL-NET: A Recurrent Graph Learning framework for Progressive Part
  Assembly
RGL-NET: A Recurrent Graph Learning framework for Progressive Part AssemblyIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
A. N. Harish
R. Nagar
Shanmuganathan Raman
280
43
0
27 Jul 2021
Learning Mesh Representations via Binary Space Partitioning Tree
  Networks
Learning Mesh Representations via Binary Space Partitioning Tree NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Zhiqin Chen
Andrea Tagliasacchi
Hao Zhang
3DPC3DVAI4CE
269
10
0
27 Jun 2021
Unsupervised Learning for Cuboid Shape Abstraction via Joint
  Segmentation from Point Clouds
Unsupervised Learning for Cuboid Shape Abstraction via Joint Segmentation from Point CloudsACM Transactions on Graphics (TOG), 2021
Kaizhi Yang
Xuejin Chen
3DPC
240
73
0
07 Jun 2021
ShapeMOD: Macro Operation Discovery for 3D Shape Programs
ShapeMOD: Macro Operation Discovery for 3D Shape ProgramsACM Transactions on Graphics (TOG), 2021
R. K. Jones
David Charatan
Paul Guerrero
Niloy J. Mitra
Daniel E. Ritchie
215
13
0
13 Apr 2021
CAPRI-Net: Learning Compact CAD Shapes with Adaptive Primitive Assembly
CAPRI-Net: Learning Compact CAD Shapes with Adaptive Primitive AssemblyComputer Vision and Pattern Recognition (CVPR), 2021
Fenggen Yu
Zhiqin Chen
Manyi Li
Aditya Sanghi
Hooman Shayani
Ali Mahdavi-Amiri
Hao Zhang
3DV3DPC
340
91
0
12 Apr 2021
Fostering Generalization in Single-view 3D Reconstruction by Learning a
  Hierarchy of Local and Global Shape Priors
Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape PriorsComputer Vision and Pattern Recognition (CVPR), 2021
J. Bechtold
Maxim Tatarchenko
Volker Fischer
Thomas Brox
178
17
0
01 Apr 2021
Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible
  Neural Networks
Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2021
Despoina Paschalidou
Angelos Katharopoulos
Andreas Geiger
Sanja Fidler
3DPC3DV3DH
189
133
0
18 Mar 2021
BIKED: A Dataset for Computational Bicycle Design with Machine Learning
  Benchmarks
BIKED: A Dataset for Computational Bicycle Design with Machine Learning Benchmarks
Lyle Regenwetter
Brent Curry
Faez Ahmed
308
45
0
10 Mar 2021
DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with
  Biharmonic Coordinates
DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic CoordinatesComputer Vision and Pattern Recognition (CVPR), 2021
Minghua Liu
Minhyuk Sung
R. Měch
Hao Su
3DH
202
41
0
18 Feb 2021
Roof-GAN: Learning to Generate Roof Geometry and Relations for
  Residential Houses
Roof-GAN: Learning to Generate Roof Geometry and Relations for Residential HousesComputer Vision and Pattern Recognition (CVPR), 2020
Yiming Qian
Hao Zhang
Yasutaka Furukawa
GANAI4CE
323
22
0
17 Dec 2020
DECOR-GAN: 3D Shape Detailization by Conditional Refinement
DECOR-GAN: 3D Shape Detailization by Conditional RefinementComputer Vision and Pattern Recognition (CVPR), 2020
Zhiqin Chen
Vladimir G. Kim
Matthew Fisher
Noam Aigerman
Hao Zhang
S. Chaudhuri
GAN3DPC
302
69
0
16 Dec 2020
Multi-Plane Program Induction with 3D Box Priors
Multi-Plane Program Induction with 3D Box PriorsNeural Information Processing Systems (NeurIPS), 2020
Yikai Li
Jiayuan Mao
Xiuming Zhang
Bill Freeman
J. Tenenbaum
Noah Snavely
Jiajun Wu
289
17
0
19 Nov 2020
Learning Implicit Functions for Topology-Varying Dense 3D Shape
  Correspondence
Learning Implicit Functions for Topology-Varying Dense 3D Shape CorrespondenceNeural Information Processing Systems (NeurIPS), 2020
Feng Liu
Xiaoming Liu
3DPC
344
37
0
23 Oct 2020
TM-NET: Deep Generative Networks for Textured Meshes
TM-NET: Deep Generative Networks for Textured Meshes
Lin Gao
Tong Wu
Yu-Jie Yuan
Ming Lin
Yu-kun Lai
Hao Zhang
GAN
378
21
0
13 Oct 2020
Artificial Intelligence: Research Impact on Key Industries; the
  Upper-Rhine Artificial Intelligence Symposium (UR-AI 2020)
Artificial Intelligence: Research Impact on Key Industries; the Upper-Rhine Artificial Intelligence Symposium (UR-AI 2020)
Andreas H. Christ
Franz Quint
AI4CE
190
0
0
05 Oct 2020
ShapeAssembly: Learning to Generate Programs for 3D Shape Structure
  Synthesis
ShapeAssembly: Learning to Generate Programs for 3D Shape Structure SynthesisACM Transactions on Graphics (TOG), 2020
R. K. Jones
Theresa Barton
Xianghao Xu
Kai Wang
Ellen Jiang
Paul Guerrero
Niloy J. Mitra
Daniel E. Ritchie
311
42
0
17 Sep 2020
Learning Gradient Fields for Shape Generation
Learning Gradient Fields for Shape Generation
Ruojin Cai
Guandao Yang
Hadar Averbuch-Elor
Jinwei Gu
Serge J. Belongie
Noah Snavely
B. Hariharan
3DPC
436
328
0
14 Aug 2020
COALESCE: Component Assembly by Learning to Synthesize Connections
COALESCE: Component Assembly by Learning to Synthesize Connections
K. Yin
Zhiqin Chen
S. Chaudhuri
Matthew Fisher
Vladimir G. Kim
Hao Zhang
3DPC
398
49
0
05 Aug 2020
SymmetryNet: Learning to Predict Reflectional and Rotational Symmetries
  of 3D Shapes from Single-View RGB-D Images
SymmetryNet: Learning to Predict Reflectional and Rotational Symmetries of 3D Shapes from Single-View RGB-D ImagesACM Transactions on Graphics (TOG), 2020
Yifei Shi
J. Huang
Hongjia Zhang
Xin Xu
Szymon Rusinkiewicz
Kai Xu
3DV
322
14
0
02 Aug 2020
MRGAN: Multi-Rooted 3D Shape Generation with Unsupervised Part
  Disentanglement
MRGAN: Multi-Rooted 3D Shape Generation with Unsupervised Part Disentanglement
Rinon Gal
Amit H. Bermano
Hao Zhang
Daniel Cohen-Or
3DPC
172
19
0
25 Jul 2020
TilinGNN: Learning to Tile with Self-Supervised Graph Neural Network
TilinGNN: Learning to Tile with Self-Supervised Graph Neural Network
Hao Xu
Ka-Hei Hui
Chi-Wing Fu
Hao Zhang
SSL
255
6
0
05 Jul 2020
Predictive and Generative Neural Networks for Object Functionality
Predictive and Generative Neural Networks for Object Functionality
Ruizhen Hu
Zihao Yan
J. Zhang
Oliver Matias van Kaick
Ariel Shamir
Hao Zhang
Hui Huang
3DPC
230
30
0
28 Jun 2020
Perspective Plane Program Induction from a Single Image
Perspective Plane Program Induction from a Single Image
Yikai Li
Jiayuan Mao
Xiuming Zhang
William T. Freeman
J. Tenenbaum
Jiajun Wu
3DV
303
14
0
25 Jun 2020
Towards a Neural Graphics Pipeline for Controllable Image Generation
Towards a Neural Graphics Pipeline for Controllable Image Generation
Xuelin Chen
Daniel Cohen-Or
Baoquan Chen
Niloy J. Mitra
271
8
0
18 Jun 2020
OPAL-Net: A Generative Model for Part-based Object Layout Generation
OPAL-Net: A Generative Model for Part-based Object Layout Generation
Rishabh Baghel
Ravi Kiran Sarvadevabhatla
280
0
0
30 May 2020
ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds
ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds
Kibok Lee
Zhuoyuan Chen
Xinchen Yan
R. Urtasun
Ersin Yumer
3DPC
201
39
0
24 May 2020
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from
  a Single RGB Image
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB ImageComputer Vision and Pattern Recognition (CVPR), 2020
Despoina Paschalidou
Luc van Gool
Andreas Geiger
3DVOCL
296
127
0
02 Apr 2020
Modeling 3D Shapes by Reinforcement Learning
Modeling 3D Shapes by Reinforcement LearningEuropean Conference on Computer Vision (ECCV), 2020
Cheng Lin
Tingxiang Fan
Wenping Wang
Matthias Nießner
OffRL3DV
216
46
0
27 Mar 2020
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