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Learning Disentangled Representation by Exploiting Pretrained Generative
  Models: A Contrastive Learning View
v1v2 (latest)

Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View

21 February 2021
Xuanchi Ren
Tao Yang
Yuwang Wang
W. Zeng
    CoGeOCLDRL
ArXiv (abs)PDFHTMLGithub (132★)

Papers citing "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"

39 / 39 papers shown
Title
Symbolic Disentangled Representations for Images
Symbolic Disentangled Representations for Images
Alexandr Korchemnyi
A. Kovalev
Aleksandr I. Panov
OCL
119
0
0
31 Dec 2024
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization
M. R. Uddin
Min Xu
115
0
0
27 May 2024
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
298
30,150
0
01 Mar 2022
Improve Unsupervised Pretraining for Few-label Transfer
Improve Unsupervised Pretraining for Few-label Transfer
Suichan Li
Dongdong Chen
Yinpeng Chen
Lu Yuan
Lei Zhang
Qi Chu
B. Liu
Nenghai Yu
SSL
53
20
0
26 Jul 2021
Surrogate Gradient Field for Latent Space Manipulation
Surrogate Gradient Field for Latent Space Manipulation
Minjun Li
Yanghua Jin
Huachun Zhu
GAN
38
18
0
19 Apr 2021
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative
  Adversarial Network
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network
Ruilin Liu
Yixiao Ge
Ching Lam Choi
Xiaogang Wang
Hongsheng Li
GAN
66
81
0
14 Mar 2021
Disentangled Representations from Non-Disentangled Models
Disentangled Representations from Non-Disentangled Models
Valentin Khrulkov
L. Mirvakhabova
Ivan Oseledets
Artem Babenko
OCLDRLCoGe
55
15
0
11 Feb 2021
Contrastive Representation Learning: A Framework and Review
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
Alan F. Smeaton
SSLAI4TS
313
712
0
10 Oct 2020
Contrastive Learning for Unpaired Image-to-Image Translation
Contrastive Learning for Unpaired Image-to-Image Translation
Taesung Park
Alexei A. Efros
Richard Y. Zhang
Jun-Yan Zhu
SSL
86
1,232
0
30 Jul 2020
Closed-Form Factorization of Latent Semantics in GANs
Closed-Form Factorization of Latent Semantics in GANs
Yujun Shen
Bolei Zhou
GAN
114
591
0
13 Jul 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
398
6,837
0
13 Jun 2020
Understanding Contrastive Representation Learning through Alignment and
  Uniformity on the Hypersphere
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
Tongzhou Wang
Phillip Isola
SSL
162
1,855
0
20 May 2020
Prototypical Contrastive Learning of Unsupervised Representations
Prototypical Contrastive Learning of Unsupervised Representations
Junnan Li
Pan Zhou
Caiming Xiong
Guosheng Lin
SSLDRL
139
975
0
11 May 2020
Disentangled and Controllable Face Image Generation via 3D
  Imitative-Contrastive Learning
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning
Yu Deng
Jiaolong Yang
Dong Chen
Fang Wen
Xin Tong
CoGeCVBM
59
347
0
24 Apr 2020
GANSpace: Discovering Interpretable GAN Controls
GANSpace: Discovering Interpretable GAN Controls
Erik Härkönen
Aaron Hertzmann
J. Lehtinen
Sylvain Paris
128
902
0
06 Apr 2020
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
510
10,591
0
17 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
381
18,866
0
13 Feb 2020
Unsupervised Discovery of Interpretable Directions in the GAN Latent
  Space
Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
A. Voynov
Artem Babenko
143
419
0
10 Feb 2020
High-Fidelity Synthesis with Disentangled Representation
High-Fidelity Synthesis with Disentangled Representation
Wonkwang Lee
Donggyun Kim
Seunghoon Hong
Honglak Lee
DRL
68
66
0
13 Jan 2020
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
317
5,828
0
03 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
213
12,124
0
13 Nov 2019
Interpreting the Latent Space of GANs for Semantic Face Editing
Interpreting the Latent Space of GANs for Semantic Face Editing
Yujun Shen
Jinjin Gu
Xiaoou Tang
Bolei Zhou
CVBMGAN
121
1,123
0
25 Jul 2019
On the "steerability" of generative adversarial networks
On the "steerability" of generative adversarial networks
Ali Jahanian
Lucy Chai
Phillip Isola
GANOOD
131
397
0
16 Jul 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a
  New Disentanglement Dataset
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
Muhammad Waleed Gondal
Manuel Wüthrich
Ðorðe Miladinovic
Francesco Locatello
M. Breidt
V. Volchkov
J. Akpo
Olivier Bachem
Bernhard Schölkopf
Stefan Bauer
OODDRL
102
138
0
07 Jun 2019
Data-Efficient Image Recognition with Contrastive Predictive Coding
Data-Efficient Image Recognition with Contrastive Predictive Coding
Olivier J. Hénaff
A. Srinivas
J. Fauw
Ali Razavi
Carl Doersch
S. M. Ali Eslami
Aaron van den Oord
SSL
138
1,432
0
22 May 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
614
10,590
0
12 Dec 2018
Challenging Common Assumptions in the Unsupervised Learning of
  Disentangled Representations
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Francesco Locatello
Stefan Bauer
Mario Lucic
Gunnar Rätsch
Sylvain Gelly
Bernhard Schölkopf
Olivier Bachem
OOD
134
1,471
0
29 Nov 2018
Human Motion Analysis with Deep Metric Learning
Human Motion Analysis with Deep Metric Learning
Huseyin Coskun
D. Tan
Sailesh Conjeti
Nassir Navab
Federico Tombari
68
50
0
30 Jul 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRLSSL
351
10,356
0
10 Jul 2018
Glow: Generative Flow with Invertible 1x1 Convolutions
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDLDRL
303
3,141
0
09 Jul 2018
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
182
3,466
0
05 May 2018
Disentangling by Factorising
Disentangling by Factorising
Hyunjik Kim
A. Mnih
CoGeOOD
64
1,356
0
16 Feb 2018
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
162
4,444
0
16 Feb 2018
Variational Inference of Disentangled Latent Concepts from Unlabeled
  Observations
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations
Abhishek Kumar
P. Sattigeri
Avinash Balakrishnan
BDLDRL
85
523
0
02 Nov 2017
Arbitrary Style Transfer in Real-time with Adaptive Instance
  Normalization
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Xun Huang
Serge J. Belongie
OOD
181
4,372
0
20 Mar 2017
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
159
4,238
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
GANOOD
271
14,023
0
19 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
A Fast and Simple Algorithm for Training Neural Probabilistic Language
  Models
A Fast and Simple Algorithm for Training Neural Probabilistic Language Models
A. Mnih
Yee Whye Teh
179
578
0
27 Jun 2012
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