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Deep Generative Modeling for Scene Synthesis via Hybrid Representations

Deep Generative Modeling for Scene Synthesis via Hybrid Representations

6 August 2018
Zaiwei Zhang
Zhenpei Yang
Chongyang Ma
Linjie Luo
Alexander G. Huth
E. Vouga
Qi-Xing Huang
    GAN
    3DPC
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Papers citing "Deep Generative Modeling for Scene Synthesis via Hybrid Representations"

48 / 48 papers shown
Title
Unit Region Encoding: A Unified and Compact Geometry-aware Representation for Floorplan Applications
Unit Region Encoding: A Unified and Compact Geometry-aware Representation for Floorplan Applications
Huichao Zhang
Pengyu Wang
Manyi Li
Zechao Li
Yaguang Wu
192
0
0
19 Jan 2025
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
396
10,591
0
17 Feb 2020
Fast and Flexible Indoor Scene Synthesis via Deep Convolutional
  Generative Models
Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models
Daniel E. Ritchie
Kai Wang
Yu-An Lin
3DV
59
158
0
29 Nov 2018
SCORES: Shape Composition with Recursive Substructure Priors
SCORES: Shape Composition with Recursive Substructure Priors
Chenyang Zhu
Kai Xu
S. Chaudhuri
Renjiao Yi
Hao Zhang
3DPC
49
79
0
14 Sep 2018
Human-centric Indoor Scene Synthesis Using Stochastic Grammar
Human-centric Indoor Scene Synthesis Using Stochastic Grammar
Siyuan Qi
Yixin Zhu
Siyuan Huang
Chenfanfu Jiang
Song-Chun Zhu
3DV
44
184
0
25 Aug 2018
GRAINS: Generative Recursive Autoencoders for INdoor Scenes
GRAINS: Generative Recursive Autoencoders for INdoor Scenes
Manyi Li
A. Patil
Kai Xu
S. Chaudhuri
Owais Khan
Ariel Shamir
Changhe Tu
Baoquan Chen
Daniel Cohen-Or
Hao Zhang
3DV
VGen
64
143
0
24 Jul 2018
LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image
LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image
Chuhang Zou
Alex Colburn
Qi Shan
Derek Hoiem
3DV
3DPC
39
238
0
23 Mar 2018
Spherical CNNs
Spherical CNNs
Taco S. Cohen
Mario Geiger
Jonas Köhler
Max Welling
156
904
0
30 Jan 2018
CSGNet: Neural Shape Parser for Constructive Solid Geometry
CSGNet: Neural Shape Parser for Constructive Solid Geometry
Gopal Sharma
Rishabh Goyal
Difan Liu
E. Kalogerakis
Subhransu Maji
3DV
67
190
0
22 Dec 2017
3D Object Classification via Spherical Projections
3D Object Classification via Spherical Projections
Zhangjie Cao
Qi-Xing Huang
K. Ramani
3DPC
63
67
0
12 Dec 2017
Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene
Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene
Shubham Tulsiani
Saurabh Gupta
David Fouhey
Alexei A. Efros
Jitendra Malik
3DV
77
133
0
05 Dec 2017
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
Peng-Shuai Wang
Yang Liu
Yu-Xiao Guo
Chun-Yu Sun
Xin Tong
3DV
76
203
0
05 Dec 2017
ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling
ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling
Minhyuk Sung
Hao Su
Vladimir G. Kim
S. Chaudhuri
Leonidas Guibas
3DV
65
63
0
06 Aug 2017
3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks
3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks
Chuhang Zou
Ersin Yumer
Jimei Yang
Duygu Ceylan
Derek Hoiem
3DV
46
209
0
04 Aug 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric
  Space
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
C. Qi
L. Yi
Hao Su
Leonidas Guibas
3DPC
3DV
348
11,113
0
07 Jun 2017
GRASS: Generative Recursive Autoencoders for Shape Structures
GRASS: Generative Recursive Autoencoders for Shape Structures
Jun Li
Kai Xu
S. Chaudhuri
Ersin Yumer
Hao Zhang
Leonidas Guibas
3DV
113
184
0
05 May 2017
A Neural Representation of Sketch Drawings
A Neural Representation of Sketch Drawings
David R Ha
Douglas Eck
102
868
0
11 Apr 2017
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point
  Cloud Models
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models
Roman Klokov
Victor Lempitsky
3DV
74
983
0
04 Apr 2017
OctNetFusion: Learning Depth Fusion from Data
OctNetFusion: Learning Depth Fusion from Data
Gernot Riegler
Ali O. Ulusoy
Horst Bischof
Andreas Geiger
3DPC
3DV
73
207
0
04 Apr 2017
Hierarchical Surface Prediction for 3D Object Reconstruction
Hierarchical Surface Prediction for 3D Object Reconstruction
Christian Häne
Shubham Tulsiani
Jitendra Malik
3DV
83
332
0
03 Apr 2017
Wasserstein GAN
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
172
4,826
0
26 Jan 2017
Learning from Simulated and Unsupervised Images through Adversarial
  Training
Learning from Simulated and Unsupervised Images through Adversarial Training
A. Shrivastava
Tomas Pfister
Oncel Tuzel
J. Susskind
Wenda Wang
Russ Webb
GAN
103
1,801
0
22 Dec 2016
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
L. Yi
Hao Su
Xingwen Guo
Leonidas Guibas
GNN
3DPC
188
467
0
02 Dec 2016
A Point Set Generation Network for 3D Object Reconstruction from a
  Single Image
A Point Set Generation Network for 3D Object Reconstruction from a Single Image
Haoqiang Fan
Hao Su
Leonidas Guibas
3DPC
3DV
166
2,238
0
02 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH
3DPC
3DV
PINN
484
14,320
0
02 Dec 2016
Learning Shape Abstractions by Assembling Volumetric Primitives
Learning Shape Abstractions by Assembling Volumetric Primitives
Shubham Tulsiani
Hao Su
Leonidas Guibas
Alexei A. Efros
Jitendra Malik
84
360
0
01 Dec 2016
Semantic Scene Completion from a Single Depth Image
Semantic Scene Completion from a Single Depth Image
Shuran Song
Feng Yu
Andy Zeng
Angel X. Chang
Manolis Savva
Thomas Funkhouser
3DV
81
1,243
0
28 Nov 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
412
1,823
0
25 Nov 2016
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
308
1,953
0
24 Oct 2016
Energy-based Generative Adversarial Network
Energy-based Generative Adversarial Network
Jiaqi Zhao
Michaël Mathieu
Yann LeCun
GAN
133
1,114
0
11 Sep 2016
IM2CAD
IM2CAD
Hamid Izadinia
Qi Shan
S. M. Seitz
3DV
53
196
0
18 Aug 2016
DSD: Dense-Sparse-Dense Training for Deep Neural Networks
DSD: Dense-Sparse-Dense Training for Deep Neural Networks
Song Han
Jeff Pool
Sharan Narang
Huizi Mao
Enhao Gong
...
Peter Vajda
Manohar Paluri
J. Tran
Bryan Catanzaro
W. Dally
CVBM
43
83
0
15 Jul 2016
Exponential expressivity in deep neural networks through transient chaos
Exponential expressivity in deep neural networks through transient chaos
Ben Poole
Subhaneil Lahiri
M. Raghu
Jascha Narain Sohl-Dickstein
Surya Ganguli
90
591
0
16 Jun 2016
Improving Variational Inference with Inverse Autoregressive Flow
Improving Variational Inference with Inverse Autoregressive Flow
Diederik P. Kingma
Tim Salimans
Rafal Jozefowicz
Xi Chen
Ilya Sutskever
Max Welling
BDL
DRL
137
1,820
0
15 Jun 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
480
9,052
0
10 Jun 2016
Volumetric and Multi-View CNNs for Object Classification on 3D Data
Volumetric and Multi-View CNNs for Object Classification on 3D Data
C. Qi
Hao Su
Matthias Niessner
Angela Dai
Mengyuan Yan
Leonidas Guibas
3DPC
3DV
242
1,567
0
12 Apr 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
477
2,570
0
25 Jan 2016
Autoencoding beyond pixels using a learned similarity metric
Autoencoding beyond pixels using a learned similarity metric
Anders Boesen Lindbo Larsen
Søren Kaae Sønderby
Hugo Larochelle
Ole Winther
GAN
168
2,070
0
31 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
ShapeNet: An Information-Rich 3D Model Repository
ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang
Thomas Funkhouser
Leonidas Guibas
Pat Hanrahan
Qi-Xing Huang
...
Shuran Song
Hao Su
Jianxiong Xiao
L. Yi
Feng Yu
3DV
162
5,530
0
09 Dec 2015
Multi-view 3D Models from Single Images with a Convolutional Network
Multi-view 3D Models from Single Images with a Convolutional Network
Maxim Tatarchenko
Alexey Dosovitskiy
Thomas Brox
3DV
140
382
0
20 Nov 2015
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
258
14,012
0
19 Nov 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
259
8,842
0
01 Oct 2015
Deep Convolutional Networks on Graph-Structured Data
Deep Convolutional Networks on Graph-Structured Data
Mikael Henaff
Joan Bruna
Yann LeCun
GNN
157
1,587
0
16 Jun 2015
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Hang Su
Subhransu Maji
E. Kalogerakis
Erik Learned-Miller
3DV
156
3,218
0
05 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
Generative Adversarial Networks
Generative Adversarial Networks
Ian Goodfellow
Jean Pouget-Abadie
M. Berk Mirza
Bing Xu
David Warde-Farley
Sherjil Ozair
Aaron Courville
Yoshua Bengio
GAN
139
2,193
0
10 Jun 2014
Learning Object Arrangements in 3D Scenes using Human Context
Learning Object Arrangements in 3D Scenes using Human Context
Yun Jiang
Marcus Lim
Ashutosh Saxena
3DH
99
110
0
27 Jun 2012
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