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Demystifying MMD GANs

Demystifying MMD GANs

4 January 2018
Mikolaj Binkowski
Danica J. Sutherland
Michael Arbel
A. Gretton
    EGVM
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Papers citing "Demystifying MMD GANs"

50 / 267 papers shown
Title
Unsupervised Learning of Depth and Depth-of-Field Effect from Natural
  Images with Aperture Rendering Generative Adversarial Networks
Unsupervised Learning of Depth and Depth-of-Field Effect from Natural Images with Aperture Rendering Generative Adversarial Networks
Takuhiro Kaneko
GAN
34
5
0
24 Jun 2021
A Note on Optimizing Distributions using Kernel Mean Embeddings
A Note on Optimizing Distributions using Kernel Mean Embeddings
Boris Muzellec
Francis R. Bach
Alessandro Rudi
9
4
0
18 Jun 2021
Divergence Frontiers for Generative Models: Sample Complexity,
  Quantization Effects, and Frontier Integrals
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals
Lang Liu
Krishna Pillutla
Sean Welleck
Sewoong Oh
Yejin Choi
Zaïd Harchaoui
MQ
22
14
0
15 Jun 2021
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
Feng Liu
Wenkai Xu
Jie Lu
Danica J. Sutherland
12
19
0
14 Jun 2021
TransferI2I: Transfer Learning for Image-to-Image Translation from Small
  Datasets
TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets
Yaxing Wang
Héctor Laria Mantecón
Joost van de Weijer
Laura Lopez-Fuentes
Bogdan Raducanu
VLM
20
9
0
13 May 2021
Vision-based Neural Scene Representations for Spacecraft
Vision-based Neural Scene Representations for Spacecraft
Anne Mergy
Gurvan Lécuyer
Dawa Derksen
Dario Izzo
8
13
0
11 May 2021
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Dataset
  and Study
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Dataset and Study
Ren Yang
Radu Timofte
28
19
0
21 Apr 2021
Review of end-to-end speech synthesis technology based on deep learning
Review of end-to-end speech synthesis technology based on deep learning
Zhaoxi Mu
Xinyu Yang
Yizhuo Dong
AuLLM
ALM
13
24
0
20 Apr 2021
SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised
  Image-to-Image Translation
SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translation
Xuning Shao
Weidong Zhang
23
27
0
30 Mar 2021
Remote Sensing Image Translation via Style-Based Recalibration Module
  and Improved Style Discriminator
Remote Sensing Image Translation via Style-Based Recalibration Module and Improved Style Discriminator
Tiange Zhang
Feng Gao
Junyu Dong
Q. Du
19
14
0
29 Mar 2021
Large Scale Image Completion via Co-Modulated Generative Adversarial
  Networks
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
Shengyu Zhao
Jianwei Cui
Yilun Sheng
Yue Dong
Xiao Liang
E. Chang
Yan Xu
34
290
0
18 Mar 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
36
478
0
08 Mar 2021
Teachers Do More Than Teach: Compressing Image-to-Image Models
Teachers Do More Than Teach: Compressing Image-to-Image Models
Qing Jin
Jian Ren
Oliver J. Woodford
Jiazhuo Wang
Geng Yuan
Yanzhi Wang
Sergey Tulyakov
31
54
0
05 Mar 2021
Two-sample Test with Kernel Projected Wasserstein Distance
Two-sample Test with Kernel Projected Wasserstein Distance
Jie Wang
Rui Gao
Yao Xie
14
19
0
12 Feb 2021
MAUVE: Measuring the Gap Between Neural Text and Human Text using
  Divergence Frontiers
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers
Krishna Pillutla
Swabha Swayamdipta
Rowan Zellers
John Thickstun
Sean Welleck
Yejin Choi
Zaïd Harchaoui
31
341
0
02 Feb 2021
Adversarial Text-to-Image Synthesis: A Review
Adversarial Text-to-Image Synthesis: A Review
Stanislav Frolov
Tobias Hinz
Federico Raue
Jörn Hees
Andreas Dengel
EGVM
14
176
0
25 Jan 2021
Minibatch optimal transport distances; analysis and applications
Minibatch optimal transport distances; analysis and applications
Kilian Fatras
Younes Zine
Szymon Majewski
Rémi Flamary
Rémi Gribonval
Nicolas Courty
OT
63
53
0
05 Jan 2021
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by
  Transferring from GANs
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs
Yaxing Wang
Lu Yu
J. Weijer
VLM
27
16
0
11 Nov 2020
Principled Interpolation in Normalizing Flows
Principled Interpolation in Normalizing Flows
Samuel G. Fadel
Sebastian Mair
Ricardo da S. Torres
Ulf Brefeld
75
3
0
22 Oct 2020
An Overview of Voice Conversion and its Challenges: From Statistical
  Modeling to Deep Learning
An Overview of Voice Conversion and its Challenges: From Statistical Modeling to Deep Learning
Berrak Sisman
Junichi Yamagishi
Simon King
Haizhou Li
BDL
27
316
0
09 Aug 2020
Generative Adversarial Networks for Image and Video Synthesis:
  Algorithms and Applications
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications
Ming-Yu Liu
Xun Huang
Jiahui Yu
Ting-Chun Wang
Arun Mallya
GAN
26
153
0
06 Aug 2020
Data-efficient visuomotor policy training using reinforcement learning
  and generative models
Data-efficient visuomotor policy training using reinforcement learning and generative models
Ali Ghadirzadeh
Petra Poklukar
Ville Kyrki
Danica Kragic
Mårten Björkman
OffRL
29
9
0
26 Jul 2020
Estimating Barycenters of Measures in High Dimensions
Estimating Barycenters of Measures in High Dimensions
Samuel N. Cohen
Michael Arbel
M. Deisenroth
8
22
0
14 Jul 2020
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
Katja Schwarz
Yiyi Liao
Michael Niemeyer
Andreas Geiger
VGen
28
864
0
05 Jul 2020
High-Fidelity Generative Image Compression
High-Fidelity Generative Image Compression
Fabian Mentzer
G. Toderici
Michael Tschannen
E. Agustsson
22
460
0
17 Jun 2020
End-to-end Sinkhorn Autoencoder with Noise Generator
End-to-end Sinkhorn Autoencoder with Noise Generator
Kamil Deja
Jan Dubiñski
Piotr W. Nowak
S. Wenzel
Tomasz Trzciñski
SyDa
14
22
0
11 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
21
1,853
0
11 Jun 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and
  Training
A Survey on Generative Adversarial Networks: Variants, Applications, and Training
Abdul Jabbar
Xi Li
Bourahla Omar
25
266
0
09 Jun 2020
Mimicry: Towards the Reproducibility of GAN Research
Mimicry: Towards the Reproducibility of GAN Research
Kwot Sin Lee
C. Town
OffRL
15
28
0
05 May 2020
Unpaired Image-to-Image Translation using Adversarial Consistency Loss
Unpaired Image-to-Image Translation using Adversarial Consistency Loss
Yihao Zhao
Ruihai Wu
Hao Dong
46
117
0
10 Mar 2020
xAI-GAN: Enhancing Generative Adversarial Networks via Explainable AI
  Systems
xAI-GAN: Enhancing Generative Adversarial Networks via Explainable AI Systems
Vineel Nagisetty
Laura Graves
Joseph Scott
Vijay Ganesh
GAN
DRL
6
27
0
24 Feb 2020
Learning Deep Kernels for Non-Parametric Two-Sample Tests
Learning Deep Kernels for Non-Parametric Two-Sample Tests
Feng Liu
Wenkai Xu
Jie Lu
Guangquan Zhang
A. Gretton
Danica J. Sutherland
11
176
0
21 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
23
817
0
20 Jan 2020
Towards GAN Benchmarks Which Require Generalization
Towards GAN Benchmarks Which Require Generalization
Ishaan Gulrajani
Colin Raffel
Luke Metz
11
57
0
10 Jan 2020
On Computation and Generalization of Generative Adversarial Imitation
  Learning
On Computation and Generalization of Generative Adversarial Imitation Learning
Minshuo Chen
Yizhou Wang
Tianyi Liu
Zhuoran Yang
Xingguo Li
Zhaoran Wang
T. Zhao
33
40
0
09 Jan 2020
DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection
DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection
Ruben Tolosana
R. Vera-Rodríguez
Julian Fierrez
Aythami Morales
J. Ortega-Garcia
3DPC
CVBM
40
775
0
01 Jan 2020
Deep Automodulators
Deep Automodulators
Ari Heljakka
Yuxin Hou
Juho Kannala
Arno Solin
20
5
0
21 Dec 2019
Effectively Unbiased FID and Inception Score and where to find them
Effectively Unbiased FID and Inception Score and where to find them
Min Jin Chong
David A. Forsyth
EGVM
8
199
0
16 Nov 2019
GANprintR: Improved Fakes and Evaluation of the State of the Art in Face
  Manipulation Detection
GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection
João C. Neves
Ruben Tolosana
R. Vera-Rodríguez
Vasco Lopes
Hugo Proencca
Julian Fierrez
AAML
PICV
13
128
0
13 Nov 2019
Unsupervised Multi-Domain Multimodal Image-to-Image Translation with
  Explicit Domain-Constrained Disentanglement
Unsupervised Multi-Domain Multimodal Image-to-Image Translation with Explicit Domain-Constrained Disentanglement
Weihao Xia
Yujiu Yang
Jing-Hao Xue
11
15
0
02 Nov 2019
LinesToFacePhoto: Face Photo Generation from Lines with Conditional
  Self-Attention Generative Adversarial Network
LinesToFacePhoto: Face Photo Generation from Lines with Conditional Self-Attention Generative Adversarial Network
Yuhang Li
X. Chen
Feng Wu
Zhengjun Zha
CVBM
GAN
19
65
0
20 Oct 2019
Prescribed Generative Adversarial Networks
Prescribed Generative Adversarial Networks
Adji Bousso Dieng
Francisco J. R. Ruiz
David M. Blei
Michalis K. Titsias
GAN
DRL
19
61
0
09 Oct 2019
High Fidelity Speech Synthesis with Adversarial Networks
High Fidelity Speech Synthesis with Adversarial Networks
Mikolaj Binkowski
Jeff Donahue
Sander Dieleman
Aidan Clark
Erich Elsen
Norman Casagrande
Luis C. Cobo
Karen Simonyan
220
239
0
25 Sep 2019
SPA-GAN: Spatial Attention GAN for Image-to-Image Translation
SPA-GAN: Spatial Attention GAN for Image-to-Image Translation
H. Emami
Majid Moradi Aliabadi
Ming Dong
R. Chinnam
GAN
20
168
0
19 Aug 2019
Twin Auxiliary Classifiers GAN
Twin Auxiliary Classifiers GAN
Mingming Gong
Yanwu Xu
Chunyuan Li
Kuncai Zhang
Kayhan Batmanghelich
16
33
0
05 Jul 2019
PathologyGAN: Learning deep representations of cancer tissue
PathologyGAN: Learning deep representations of cancer tissue
A. Quiros
R. Murray-Smith
Ke-Fei Yuan
MedIm
GAN
4
84
0
04 Jul 2019
Bias Correction of Learned Generative Models using Likelihood-Free
  Importance Weighting
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting
Aditya Grover
Jiaming Song
Alekh Agarwal
Kenneth Tran
Ashish Kapoor
Eric Horvitz
Stefano Ermon
24
123
0
23 Jun 2019
Mask Based Unsupervised Content Transfer
Mask Based Unsupervised Content Transfer
Ron Mokady
Sagie Benaim
Lior Wolf
Amit H. Bermano
11
14
0
15 Jun 2019
Statistical Inference for Generative Models with Maximum Mean
  Discrepancy
Statistical Inference for Generative Models with Maximum Mean Discrepancy
François‐Xavier Briol
Alessandro Barp
Andrew B. Duncan
Mark Girolami
13
70
0
13 Jun 2019
Maximum Mean Discrepancy Gradient Flow
Maximum Mean Discrepancy Gradient Flow
Michael Arbel
Anna Korba
Adil Salim
A. Gretton
13
158
0
11 Jun 2019
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