ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1806.06298
  4. Cited By
Deformable Generator Networks: Unsupervised Disentanglement of
  Appearance and Geometry

Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry

16 June 2018
X. Xing
Ruiqi Gao
Tian Han
Song-Chun Zhu
Ying Nian Wu
    DRL
ArXivPDFHTML

Papers citing "Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry"

38 / 38 papers shown
Title
Analyzing and Improving the Image Quality of StyleGAN
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras
S. Laine
M. Aittala
Janne Hellsten
J. Lehtinen
Timo Aila
GAN
282
5,810
0
03 Dec 2019
Motion-Based Generator Model: Unsupervised Disentanglement of
  Appearance, Trackable and Intrackable Motions in Dynamic Patterns
Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns
Jianwen Xie
Ruiqi Gao
Zilong Zheng
Song-Chun Zhu
Ying Nian Wu
DiffM
56
21
0
26 Nov 2019
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and
  Selection for Disentangling GANs
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
Zinan Lin
K. K. Thekumparampil
Giulia Fanti
Sewoong Oh
DRL
69
37
0
14 Jun 2019
Flexibly Fair Representation Learning by Disentanglement
Flexibly Fair Representation Learning by Disentanglement
Elliot Creager
David Madras
J. Jacobsen
Marissa A. Weis
Kevin Swersky
T. Pitassi
R. Zemel
FaML
OOD
186
333
0
06 Jun 2019
On the Fairness of Disentangled Representations
On the Fairness of Disentangled Representations
Francesco Locatello
G. Abbati
Tom Rainforth
Stefan Bauer
Bernhard Schölkopf
Olivier Bachem
FaML
DRL
73
226
0
31 May 2019
Divergence Triangle for Joint Training of Generator Model, Energy-based
  Model, and Inference Model
Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model
Tian Han
Erik Nijkamp
Xiaolin Fang
Mitch Hill
Song-Chun Zhu
Ying Nian Wu
67
68
0
28 Dec 2018
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
574
10,555
0
12 Dec 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
262
5,392
0
28 Sep 2018
Diverse Image-to-Image Translation via Disentangled Representations
Diverse Image-to-Image Translation via Disentangled Representations
Hsin-Ying Lee
Hung-Yu Tseng
Jia-Bin Huang
M. Singh
Ming-Hsuan Yang
DRL
62
909
0
02 Aug 2018
Deforming Autoencoders: Unsupervised Disentangling of Shape and
  Appearance
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance
Zhixin Shu
M. Sahasrabudhe
R. Güler
Dimitris Samaras
Nikos Paragios
Iasonas Kokkinos
CVBM
114
201
0
18 Jun 2018
Unsupervised Disentangled Representation Learning with Analogical
  Relations
Unsupervised Disentangled Representation Learning with Analogical Relations
Ziyue Li
Yongchuan Tang
Yongxing He
GAN
46
14
0
25 Apr 2018
Multimodal Unsupervised Image-to-Image Translation
Multimodal Unsupervised Image-to-Image Translation
Xun Huang
Ming-Yuan Liu
Serge J. Belongie
Jan Kautz
130
2,482
0
12 Apr 2018
Understanding disentangling in $β$-VAE
Understanding disentangling in βββ-VAE
Christopher P. Burgess
I. Higgins
Arka Pal
Loic Matthey
Nicholas Watters
Guillaume Desjardins
Alexander Lerchner
CoGe
DRL
65
829
0
10 Apr 2018
Which Training Methods for GANs do actually Converge?
Which Training Methods for GANs do actually Converge?
L. Mescheder
Andreas Geiger
Sebastian Nowozin
81
1,465
0
13 Jan 2018
GAGAN: Geometry-Aware Generative Adversarial Networks
GAGAN: Geometry-Aware Generative Adversarial Networks
Jean Kossaifi
Linh-Tam Tran
Yannis Panagakis
Maja Pantic
GAN
46
47
0
03 Dec 2017
Are GANs Created Equal? A Large-Scale Study
Are GANs Created Equal? A Large-Scale Study
Mario Lucic
Karol Kurach
Marcin Michalski
Sylvain Gelly
Olivier Bousquet
EGVM
60
1,011
0
28 Nov 2017
Variational Inference of Disentangled Latent Concepts from Unlabeled
  Observations
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations
Abhishek Kumar
P. Sattigeri
Avinash Balakrishnan
BDL
DRL
81
523
0
02 Nov 2017
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
134
7,353
0
27 Oct 2017
MoCoGAN: Decomposing Motion and Content for Video Generation
MoCoGAN: Decomposing Motion and Content for Video Generation
Sergey Tulyakov
Ming-Yuan Liu
Xiaodong Yang
Jan Kautz
GAN
129
1,147
0
17 Jul 2017
Emergence of Invariance and Disentanglement in Deep Representations
Emergence of Invariance and Disentanglement in Deep Representations
Alessandro Achille
Stefano Soatto
OOD
DRL
88
476
0
05 Jun 2017
Deformable Convolutional Networks
Deformable Convolutional Networks
Jifeng Dai
Haozhi Qi
Yuwen Xiong
Yi Li
Guodong Zhang
Han Hu
Yichen Wei
199
5,330
0
17 Mar 2017
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Eddy Ilg
N. Mayer
Tonmoy Saikia
Margret Keuper
Alexey Dosovitskiy
Thomas Brox
3DPC
255
3,079
0
06 Dec 2016
Deep Variational Information Bottleneck
Deep Variational Information Bottleneck
Alexander A. Alemi
Ian S. Fischer
Joshua V. Dillon
Kevin Patrick Murphy
119
1,720
0
01 Dec 2016
Disentangling factors of variation in deep representations using
  adversarial training
Disentangling factors of variation in deep representations using adversarial training
Michaël Mathieu
Jiaqi Zhao
Pablo Sprechmann
Aditya A. Ramesh
Yann LeCun
DRL
CML
89
490
0
10 Nov 2016
Optical Flow Estimation using a Spatial Pyramid Network
Optical Flow Estimation using a Spatial Pyramid Network
Anurag Ranjan
Michael J. Black
3DPC
108
1,216
0
03 Nov 2016
Automatic chemical design using a data-driven continuous representation
  of molecules
Automatic chemical design using a data-driven continuous representation of molecules
Rafael Gómez-Bombarelli
Jennifer N. Wei
David Duvenaud
José Miguel Hernández-Lobato
Benjamín Sánchez-Lengeling
Dennis Sheberla
J. Aguilera-Iparraguirre
Timothy D. Hirzel
Ryan P. Adams
Alán Aspuru-Guzik
3DV
161
2,929
0
07 Oct 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing
  Generative Adversarial Nets
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
GAN
157
4,235
0
12 Jun 2016
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
253
14,008
0
19 Nov 2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial
  Networks
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
Emily L. Denton
Soumith Chintala
Arthur Szlam
Rob Fergus
GAN
96
2,241
0
18 Jun 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
300
7,384
0
05 Jun 2015
FlowNet: Learning Optical Flow with Convolutional Networks
FlowNet: Learning Optical Flow with Convolutional Networks
Philipp Fischer
Alexey Dosovitskiy
Eddy Ilg
Philip Häusser
C. Hazirbas
Vladimir Golkov
Patrick van der Smagt
Daniel Cremers
Thomas Brox
3DPC
308
4,177
0
26 Apr 2015
Deep Convolutional Inverse Graphics Network
Deep Convolutional Inverse Graphics Network
Tejas D. Kulkarni
William F. Whitney
Pushmeet Kohli
J. Tenenbaum
DRL
BDL
103
929
0
11 Mar 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
323
18,613
0
06 Feb 2015
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
241
8,402
0
28 Nov 2014
Learning Deep Representation for Face Alignment with Auxiliary
  Attributes
Learning Deep Representation for Face Alignment with Auxiliary Attributes
Zhanpeng Zhang
Ping Luo
Chen Change Loy
Xiaoou Tang
CVBM
69
424
0
18 Aug 2014
Neural Variational Inference and Learning in Belief Networks
Neural Variational Inference and Learning in Belief Networks
A. Mnih
Karol Gregor
BDL
171
730
0
31 Jan 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,933
0
20 Dec 2013
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
256
12,435
0
24 Jun 2012
1