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Zero-Shot Super-Resolution Using Deep Internal Learning
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2018
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Assaf Shocher
Nadav Cohen
Michal Irani
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9
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Adam: A Method for Stochastic Optimization
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2014
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Diederik P. Kingma
Jimmy Ba
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6
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Image-to-Image Translation with Conditional Adversarial Networks
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2017
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Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
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5
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Least Squares Generative Adversarial Networks
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2017
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Xudong Mao
Qing Li
Haoran Xie
Raymond Y.K. Lau
Zhen Wang
Stephen Paul Smolley
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5
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Spectral Normalization for Generative Adversarial Networks
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2018
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Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
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5
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Deep Residual Learning for Image Recognition
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2016
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Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
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5
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Texture Synthesis with Spatial Generative Adversarial Networks.
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2016
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Nikolay Jetchev
Urs Bergmann
Roland Vollgraf
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4
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High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
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2018
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Ting-Chun Wang
Ming-Yu Liu
Jun-Yan Zhu
Andrew Tao
Jan Kautz
Bryan Catanzaro
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4
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Non-stationary texture synthesis by adversarial expansion
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2018
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Yang Zhou
Zhen Zhu
Xiang Bai
Dani Lischinski
Daniel CohenâOr
Hui Huang
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4
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Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
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2017
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Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
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4
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âDouble-DIPâ: Unsupervised Image Decomposition via Coupled Deep-Image-Priors
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2019
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Yosef Gandelsman
Assaf Shocher
Michal Irani
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4
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The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
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2018
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Richard Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
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4
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Enhanced Deep Residual Networks for Single Image Super-Resolution
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2017
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Bee Lim
Sanghyun Son
Heewon Kim
Seungjun Nah
Kyoung Mu Lee
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4
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Texture synthesis using convolutional neural networks
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2015
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Leon A. Gatys
Alexander S. Ecker
Matthias Bethge
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3
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A Neural Algorithm of Artistic Style
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2015
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Leon A. Gatys
Alexander S. Ecker
Matthias Bethge
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3
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Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
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2013
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Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
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3
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Perceptual Losses for Real-Time Style Transfer and Super-Resolution
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2016
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Justin Johnson
Alexandre Alahi
Li Fei-Fei
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3
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Accurate Image Super-Resolution Using Very Deep Convolutional Networks
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2016
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Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
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3
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SinGAN: Learning a Generative Model From a Single Natural Image
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2019
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Tamar Rott Shaham
Tali Dekel
Tomer Michaeli
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2
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Stacked Generative Adversarial Networks
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2017
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Xun Huang
Yixuan Li
Omid Poursaeed
John E. Hopcroft
Serge Belongie
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2
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Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
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2015
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Alec Radford
Luke Metz
Soumith Chintala
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2
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High-Resolution Image Inpainting Using Multi-scale Neural Patch Synthesis
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2017
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Chao Yang
Xin Lu
Zhe Lin
Eli Shechtman
Oliver Wang
Hao Li
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2
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A Neural Algorithm of Artistic Style
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2016
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Leon A. Gatys
Alexander S. Ecker
Matthias Bethge
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2
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Deep Feature Interpolation for Image Content Changes
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2017
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Paul Upchurch
Jacob R. Gardner
Geoff Pleiss
Robert Pless
Noah Snavely
Kavita Bala
Kilian Q. Weinberger
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2
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GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
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2017
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Martin Heusel
Hubert Ramsauer
Thomas Unterthiner
Bernhard Nessler
Sepp Hochreiter
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2
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Boundless: Generative Adversarial Networks for Image Extension
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2019
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Dilip Krishnan
Piotr Teterwak
Aaron Sarna
Aaron Maschinot
Ce Liu
David Belanger
William T. Freeman
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2
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Seeing What a GAN Cannot Generate
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2019
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David Bau
Jun-Yan Zhu
Jonas Wulff
William Peebles
Bolei Zhou
Hendrik Strobelt
Antonio Torralba
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2
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Understanding Neural Networks Through Deep Visualization
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2015
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Jason Yosinski
Jeff Clune
Anh Mai Nguyen
Thomas J. Fuchs
Hod Lipson
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2
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Self-Attention Generative Adversarial Networks
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2018
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Han Zhang
Ian Goodfellow
Dimitris Metaxas
Augustus Odena
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2
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Deep Back-Projection Networks for Super-Resolution
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2018
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Muhammad Haris
Greg Shakhnarovich
Norimichi Ukita
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2
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Seven Ways to Improve Example-Based Single Image Super Resolution
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2016
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Radu Timofte
Rasmus Rothe
Luc Van Gool
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2
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Weakly- and Self-Supervised Learning for Content-Aware Deep Image Retargeting
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2017
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Donghyeon Cho
Jinsun Park
Tae-Hyun Oh
YuâWing Tai
In So Kweon
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2
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Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
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2019
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Qi Mao
Hsin-Ying Lee
Hung-Yu Tseng
Siwei Ma
MingâHsuan Yang
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2
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Deep Image Prior
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2020
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Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
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2
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Understanding deep image representations by inverting them
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2015
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Aravindh Mahendran
Andrea Vedaldi
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2
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Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks
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2016
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Anh Mai Nguyen
Jason Yosinski
Jeff Clune
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2
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Blind Super-Resolution With Iterative Kernel Correction
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2019
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Jinjin Gu
Hannan Lu
Wangmeng Zuo
Chao Dong
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2
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DehazeNet: An End-to-End System for Single Image Haze Removal
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2016
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Bolun Cai
Xiangmin Xu
Kui Jia
Chunmei Qing
Dacheng Tao
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2
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Visual attribute transfer through deep image analogy
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2017
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Jing Liao
Yuan Yao
Lu Yuan
Gang Hua
Sing Bing Kang
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2
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Learning Texture Manifolds with the Periodic Spatial GAN
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2017
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Urs Bergmann
Nikolay Jetchev
Roland Vollgraf
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2
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Inverting Convolutional Networks with Convolutional Networks.
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2015
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Alexey Dosovitskiy
Thomas Brox
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2
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Deeply-Recursive Convolutional Network for Image Super-Resolution
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2016
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Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
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2
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Image Resizing by Reconstruction from Deep Features
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2019
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Moab Arar
Dov Danon
Daniel CohenâOr
Ariel Shamir
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2
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O-HAZE: A Dehazing Benchmark with Real Hazy and Haze-Free Outdoor Images
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2018
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Codruta O. Ancuti
Cosmin AncuĆŁi
Radu Timofte
Christophe De Vleeschouwer
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2
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Very Deep Convolutional Networks for Large-Scale Image Recognition
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2014
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Karen Simonyan
Andrew Zisserman
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2
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Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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2017
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Christian Ledig
Lucas Theis
Ferenc HuszĂĄr
José Caballero
Andrew Cunningham
Alejandro Acosta
Andrew P. Aitken
Alykhan Tejani
Johannes Totz
Zehan Wang
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2
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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2015
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Sergey Ioffe
Christian Szegedy
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2
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Large Scale GAN Training for High Fidelity Natural Image Synthesis
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2018
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Andrew Brock
Jeff Donahue
Karen Simonyan
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2
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Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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2016
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Christian Ledig
Lucas Theis
Ferenc HuszĂĄr
José Caballero
Andrew Cunningham
Alejandro Acosta
Andrew P. Aitken
Alykhan Tejani
Johannes Totz
Zehan Wang
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2
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An Internal Learning Approach to Video Inpainting
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2019
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Haotian Zhang
Long Mai
Hailin Jin
Zhaowen Wang
Ning Xu
John Collomosse
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2
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