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BIGRoC: Boosting Image Generation via a Robust Classifier

BIGRoC: Boosting Image Generation via a Robust Classifier

8 August 2021
Roy Ganz
Michael Elad
ArXivPDFHTML

Papers citing "BIGRoC: Boosting Image Generation via a Robust Classifier"

35 / 35 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
243
30,108
0
01 Mar 2022
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
183
7,765
0
11 May 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs,
  Normalizing Flows, Energy-Based and Autoregressive Models
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
Sam Bond-Taylor
Adam Leach
Yang Long
Chris G. Willcocks
VLM
TPM
89
500
0
08 Mar 2021
Refining Deep Generative Models via Discriminator Gradient Flow
Refining Deep Generative Models via Discriminator Gradient Flow
Abdul Fatir Ansari
Ming Liang Ang
Harold Soh
61
49
0
01 Dec 2020
InfoMax-GAN: Improved Adversarial Image Generation via Information
  Maximization and Contrastive Learning
InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning
Kwot Sin Lee
Ngoc-Trung Tran
Ngai-Man Cheung
GAN
52
68
0
09 Jul 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
522
18,008
0
19 Jun 2020
Differentiable Augmentation for Data-Efficient GAN Training
Differentiable Augmentation for Data-Efficient GAN Training
Shengyu Zhao
Zhijian Liu
Ji Lin
Jun-Yan Zhu
Song Han
87
606
0
18 Jun 2020
Training Generative Adversarial Networks with Limited Data
Training Generative Adversarial Networks with Limited Data
Tero Karras
M. Aittala
Janne Hellsten
S. Laine
J. Lehtinen
Timo Aila
GAN
127
1,882
0
11 Jun 2020
On the Benefits of Models with Perceptually-Aligned Gradients
On the Benefits of Models with Perceptually-Aligned Gradients
Gunjan Aggarwal
Abhishek Sinha
Nupur Kumari
M. Singh
AAML
46
16
0
04 May 2020
Your GAN is Secretly an Energy-based Model and You Should use
  Discriminator Driven Latent Sampling
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling
Tong Che
Ruixiang Zhang
Jascha Narain Sohl-Dickstein
Hugo Larochelle
Liam Paull
Yuan Cao
Yoshua Bengio
DiffM
DRL
60
114
0
12 Mar 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
260
5,808
0
03 Dec 2019
Are Perceptually-Aligned Gradients a General Property of Robust
  Classifiers?
Are Perceptually-Aligned Gradients a General Property of Robust Classifiers?
Simran Kaur
Jeremy M. Cohen
Zachary Chase Lipton
OOD
AAML
51
66
0
18 Oct 2019
Discriminator optimal transport
Discriminator optimal transport
A. Tanaka
OT
51
54
0
15 Oct 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
532
10,540
0
12 Dec 2018
Metropolis-Hastings Generative Adversarial Networks
Metropolis-Hastings Generative Adversarial Networks
Ryan D. Turner
Jane Hung
Eric Frank
Yunus Saatci
J. Yosinski
GAN
46
99
0
28 Nov 2018
Self-Supervised GANs via Auxiliary Rotation Loss
Self-Supervised GANs via Auxiliary Rotation Loss
Ting Chen
Xiaohua Zhai
Marvin Ritter
Mario Lucic
N. Houlsby
SSL
GAN
71
302
0
27 Nov 2018
Discriminator Rejection Sampling
Discriminator Rejection Sampling
S. Azadi
Catherine Olsson
Trevor Darrell
Ian Goodfellow
Augustus Odena
64
131
0
16 Oct 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
240
5,391
0
28 Sep 2018
Robustness May Be at Odds with Accuracy
Robustness May Be at Odds with Accuracy
Dimitris Tsipras
Shibani Santurkar
Logan Engstrom
Alexander Turner
Aleksander Madry
AAML
93
1,778
0
30 May 2018
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
155
4,437
0
16 Feb 2018
cGANs with Projection Discriminator
cGANs with Projection Discriminator
Takeru Miyato
Masanori Koyama
GAN
68
770
0
15 Feb 2018
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
119
7,351
0
27 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
283
12,060
0
19 Jun 2017
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
311
19,640
0
21 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
517
5,893
0
08 Jul 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
474
9,044
0
10 Jun 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
453
2,567
0
25 Jan 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.1K
193,814
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
838
27,303
0
02 Dec 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
243
14,005
0
19 Nov 2015
Variational Inference with Normalizing Flows
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRL
BDL
304
4,175
0
21 May 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
250
19,045
0
20 Dec 2014
Conditional Generative Adversarial Nets
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GAN
SyDa
AI4CE
254
10,407
0
06 Nov 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
253
14,912
1
21 Dec 2013
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
433
16,944
0
20 Dec 2013
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