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Powers of layers for image-to-image translation

Powers of layers for image-to-image translation

13 August 2020
Hugo Touvron
Matthijs Douze
Matthieu Cord
Hervé Jégou
ArXiv (abs)PDFHTML

Papers citing "Powers of layers for image-to-image translation"

40 / 40 papers shown
Title
Recurrent Feature Reasoning for Image Inpainting
Recurrent Feature Reasoning for Image Inpainting
Jingyuan Li
N. Wang
Lefei Zhang
Bo Du
Dacheng Tao
62
346
0
09 Aug 2020
StyleGAN2 Distillation for Feed-forward Image Manipulation
StyleGAN2 Distillation for Feed-forward Image Manipulation
Yuri Viazovetskyi
V. Ivashkin
Evgenii Kashin
202
137
0
07 Mar 2020
Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image
  Translation
Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
Runfa Chen
Wenbing Huang
B. Huang
F. Sun
Bin Fang
79
168
0
29 Feb 2020
GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translation
GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translation
Wallace P. Lira
Johannes Merz
Daniel E. Ritchie
Daniel Cohen-Or
Hao Zhang
51
28
0
24 Feb 2020
Differentiable Forward and Backward Fixed-Point Iteration Layers
Differentiable Forward and Backward Fixed-Point Iteration Layers
Younahan Jeon
Minsik Lee
J. Choi
23
1
0
07 Feb 2020
StarGAN v2: Diverse Image Synthesis for Multiple Domains
StarGAN v2: Diverse Image Synthesis for Multiple Domains
Yunjey Choi
Youngjung Uh
Jaejun Yoo
Jung-Woo Ha
3DH
129
1,756
0
04 Dec 2019
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
314
5,828
0
03 Dec 2019
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
Egor Zakharov
Aliaksandra Shysheya
Egor Burkov
Victor Lempitsky
3DH
147
630
0
20 May 2019
Few-Shot Unsupervised Image-to-Image Translation
Few-Shot Unsupervised Image-to-Image Translation
Ming-Yuan Liu
Xun Huang
Arun Mallya
Tero Karras
Timo Aila
J. Lehtinen
Jan Kautz
62
610
0
05 May 2019
SinGAN: Learning a Generative Model from a Single Natural Image
SinGAN: Learning a Generative Model from a Single Natural Image
Tamar Rott Shaham
Tali Dekel
T. Michaeli
GANVLM
106
843
0
02 May 2019
COCO-GAN: Generation by Parts via Conditional Coordinating
COCO-GAN: Generation by Parts via Conditional Coordinating
Chieh Hubert Lin
Chia-Che Chang
Yu-Sheng Chen
Da-Cheng Juan
Wei Wei
Hwann-Tzong Chen
68
135
0
30 Mar 2019
Semantic Image Synthesis with Spatially-Adaptive Normalization
Semantic Image Synthesis with Spatially-Adaptive Normalization
Taesung Park
Ming-Yuan Liu
Ting-Chun Wang
Jun-Yan Zhu
166
2,691
0
18 Mar 2019
MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks
MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks
Animesh Karnewar
Oliver Wang
GAN
60
50
0
14 Mar 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
602
10,590
0
12 Dec 2018
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
Jure Zbontar
Florian Knoll
Anuroop Sriram
Tullie Murrell
Zhengnan Huang
...
Erich Owens
C. L. Zitnick
M. Recht
D. Sodickson
Yvonne W. Lui
OOD
75
847
0
21 Nov 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
269
5,403
0
28 Sep 2018
Geometry-Consistent Generative Adversarial Networks for One-Sided
  Unsupervised Domain Mapping
Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping
Huan Fu
Biwei Huang
Chaohui Wang
Kayhan Batmanghelich
Kun Zhang
Dacheng Tao
GAN
104
225
0
16 Sep 2018
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
429
5,157
0
19 Jun 2018
Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control
  Method for Image Restoration
Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration
Xiaoshuai Zhang
Yiping Lu
Jiaying Liu
Bin Dong
65
51
0
20 May 2018
Multimodal Unsupervised Image-to-Image Translation
Multimodal Unsupervised Image-to-Image Translation
Xun Huang
Ming-Yuan Liu
Serge J. Belongie
Jan Kautz
133
2,485
0
12 Apr 2018
Model compression via distillation and quantization
Model compression via distillation and quantization
A. Polino
Razvan Pascanu
Dan Alistarh
MQ
86
732
0
15 Feb 2018
High-Resolution Image Synthesis and Semantic Manipulation with
  Conditional GANs
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Ting-Chun Wang
Ming-Yuan Liu
Jun-Yan Zhu
Andrew Tao
Jan Kautz
Bryan Catanzaro
SSeg
183
3,947
0
30 Nov 2017
Convolutional Networks with Adaptive Inference Graphs
Convolutional Networks with Adaptive Inference Graphs
Andreas Veit
Serge J. Belongie
OODGNN
95
385
0
30 Nov 2017
BlockDrop: Dynamic Inference Paths in Residual Networks
BlockDrop: Dynamic Inference Paths in Residual Networks
Zuxuan Wu
Tushar Nagarajan
Abhishek Kumar
Steven J. Rennie
L. Davis
Kristen Grauman
Rogerio Feris
95
469
0
22 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
164
7,376
0
27 Oct 2017
Residual Connections Encourage Iterative Inference
Residual Connections Encourage Iterative Inference
Stanislaw Jastrzebski
Devansh Arpit
Nicolas Ballas
Vikas Verma
Tong Che
Yoshua Bengio
57
155
0
13 Oct 2017
Word Translation Without Parallel Data
Word Translation Without Parallel Data
Alexis Conneau
Guillaume Lample
MarcÁurelio Ranzato
Ludovic Denoyer
Hervé Jégou
293
1,661
0
11 Oct 2017
Fast Image Processing with Fully-Convolutional Networks
Fast Image Processing with Fully-Convolutional Networks
Qifeng Chen
Jia Xu
V. Koltun
40
322
0
02 Sep 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
732
132,363
0
12 Jun 2017
Fader Networks: Manipulating Images by Sliding Attributes
Fader Networks: Manipulating Images by Sliding Attributes
Guillaume Lample
Neil Zeghidour
Nicolas Usunier
Antoine Bordes
Ludovic Denoyer
MarcÁurelio Ranzato
DRLGAN
108
546
0
01 Jun 2017
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation
Zili Yi
Hao Zhang
P. Tan
Minglun Gong
GANVLM
133
1,945
0
08 Apr 2017
Unsupervised Image-to-Image Translation Networks
Unsupervised Image-to-Image Translation Networks
Ming-Yuan Liu
Thomas Breuel
Jan Kautz
VLM
158
2,737
0
02 Mar 2017
Spatially Adaptive Computation Time for Residual Networks
Spatially Adaptive Computation Time for Residual Networks
Michael Figurnov
Maxwell D. Collins
Yukun Zhu
Li Zhang
Jonathan Huang
Dmitry Vetrov
Ruslan Salakhutdinov
68
351
0
07 Dec 2016
Domain Separation Networks
Domain Separation Networks
Konstantinos Bousmalis
George Trigeorgis
N. Silberman
Dilip Krishnan
D. Erhan
OOD
112
1,452
0
22 Aug 2016
Coupled Generative Adversarial Networks
Coupled Generative Adversarial Networks
Ming-Yuan Liu
Oncel Tuzel
OODGAN
98
1,626
0
24 Jun 2016
Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting
Deepak Pathak
Philipp Krahenbuhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
SSL
69
5,297
0
25 Apr 2016
Deep Networks with Stochastic Depth
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
215
2,361
0
30 Mar 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
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
263
8,859
0
01 Oct 2015
Universal Approximation Depth and Errors of Narrow Belief Networks with
  Discrete Units
Universal Approximation Depth and Errors of Narrow Belief Networks with Discrete Units
Guido Montúfar
162
40
0
29 Mar 2013
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