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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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5
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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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Few-Shot Adaptation of Generative Adversarial Networks
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2020
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Esther Robb
Wen–Sheng Chu
Abhishek Kumar
Jia‐Bin Huang
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4
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Semantic Image Synthesis With Spatially-Adaptive Normalization
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2019
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Taesung Park
Ming-Yu Liu
Ting-Chun Wang
Jun-Yan Zhu
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4
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COCO-Stuff: Thing and Stuff Classes in Context
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2018
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Holger Caesar
Jasper Uijlings
Vittorio Ferrari
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4
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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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4
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A Style-Based Generator Architecture for Generative Adversarial Networks
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2019
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Tero Karras
Samuli Laine
Timo Aila
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4
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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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4
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StarGAN v2: Diverse Image Synthesis for Multiple Domains
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2020
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Yunjey Choi
Youngjung Uh
Jaejun Yoo
Jung-Woo Ha
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3
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Training Generative Adversarial Networks with Limited Data
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2020
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Tero Karras
Miika Aittala
Janne Hellsten
Samuli Laine
Jaakko Lehtinen
Timo Aila
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3
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Semantically Multi-Modal Image Synthesis
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2020
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Zhen Zhu
Zhiliang Xu
Ansheng You
Xiang Bai
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3
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Unified Perceptual Parsing for Scene Understanding
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2018
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Tete Xiao
Yingcheng Liu
Bolei Zhou
Yuning Jiang
Jian Sun
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3
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Improved Techniques for Training Single-Image GANs
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2021
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Tobias Hinz
Matthew Fisher
Oliver Wang
Stefan Wermter
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3
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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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3
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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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3
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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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3
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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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3
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A U-Net Based Discriminator for Generative Adversarial Networks
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2020
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Edgar Schönfeld
Bernt Schiele
Anna Khoreva
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3
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Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
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2020
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Hao Tang
Dan Xu
Yan Yan
Philip H. S. Torr
Nicu Sebe
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3
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Diversity-Sensitive Conditional Generative Adversarial Networks
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2019
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Dingdong Yang
Seunghoon Hong
Yunseok Jang
Tianchen Zhao
Honglak Lee
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3
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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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3
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CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features
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2019
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Sangdoo Yun
Dongyoon Han
Sanghyuk Chun
Seong Joon Oh
Youngjoon Yoo
Junsuk Choe
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3
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Analyzing and Improving the Image Quality of StyleGAN
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2020
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Tero Karras
Samuli Laine
Miika Aittala
Janne Hellsten
Jaakko Lehtinen
Timo Aila
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3
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ResNeSt: Split-Attention Networks
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2022
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Hang Zhang
Chongruo Wu
Zhongyue Zhang
Yi Zhu
Haibin Lin
Zhi Zhang
Yue Sun
Tong He
Jonas Mueller
R. Manmatha
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2
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Implicit Maximum Likelihood Estimation
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2018
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Ke Li
Jitendra Malik
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2
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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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2
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Image Augmentations for GAN Training
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2020
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Zhengli Zhao
Zizhao Zhang
Ting Chen
Sameer Singh
Han Zhang
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2
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How Good Is My GAN?
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2018
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Konstantin Shmelkov
Cordelia Schmid
Karteek Alahari
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2
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Rethinking Spatially-Adaptive Normalization
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2020
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Zhentao Tan
Dongdong Chen
Qi Chu
Menglei Chai
Jing Liao
Mingming He
Lu Yuan
Nenghai Yu
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2
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DropFilter: Dropout for Convolutions.
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2018
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Zhengsu Chen
Jianwei Niu
Qi Tian
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2
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CBAM: Convolutional Block Attention Module
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2018
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Sanghyun Woo
Jongchan Park
Joon‐Young Lee
In So Kweon
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2
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Generative Adversarial Text to Image Synthesis
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2016
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Scott Reed
Zeynep Akata
Xinchen Yan
Lajanugen Logeswaran
Bernt Schiele
Honglak Lee
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2
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Edge Guided GANs with Semantic Preserving for Semantic Image Synthesis
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2020
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Hao Tang
Xiaojuan Qi
Dan Xu
Philip H. S. Torr
Nicu Sebe
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2
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SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects
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2020
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Evangelos Ntavelis
Andrés Romero
Iason Kastanis
Luc Van Gool
Radu Timofte
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2
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Dilated Residual Networks
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2017
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Fisher Yu
Vladlen Koltun
Thomas Funkhouser
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2
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Classification Accuracy Score for Conditional Generative Models
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2019
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Suman Ravuri
Oriol Vinyals
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2
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Image Generation From Small Datasets via Batch Statistics Adaptation
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2019
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Atsuhiro Noguchi
Tatsuya Harada
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2
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Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis
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2019
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Xihui Liu
Guojun Yin
Jing Shao
Xiaogang Wang
Hongsheng Li
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2
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Conditional Generative Adversarial Nets
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2014
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Mehdi Mirza
Simon Osindero
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2
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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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2
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Improved Precision and Recall Metric for Assessing Generative Models
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2019
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Tuomas Kynkäänniemi
Tero Karras
Samuli Laine
Jaakko Lehtinen
Timo Aila
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2
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Diverse Image Synthesis From Semantic Layouts via Conditional IMLE
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2019
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Ke Li
Tianhao Zhang
Jitendra Malik
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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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The Cityscapes Dataset for Semantic Urban Scene Understanding
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2016
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Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
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2
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BAM: Bottleneck Attention Module
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2018
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Jongchan Park
Sanghyun Woo
Joon‐Young Lee
In So Kweon
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2
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Data Augmentation Generative Adversarial Networks
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2017
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Antreas Antoniou
Amos Storkey
Harrison Edwards
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2
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Super-Resolution with Deep Convolutional Sufficient Statistics
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2015
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Joan Bruna
Pablo Sprechmann
Yann LeCun
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2
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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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2
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StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
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2018
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Han Zhang
Tao Xu
Hongsheng Li
Shaoting Zhang
Xiaogang Wang
Xiaolei Huang
Dimitris Metaxas
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2
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SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
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2017
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Vijay Badrinarayanan
A. C. Kendall
Roberto Cipolla
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2
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