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Positional encodings have enabled recent works to train a single adversarial network that can generate images of different scales.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Spatial pyramid pooling in deep convolutional networks for visual recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2014
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Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop
Fisher Yu, Yinda Zhang, Shuran Song, Ari Seff, and Jianxiong Xiao · 2015
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Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop
Fisher Yu, Yinda Zhang, Shuran Song, Ari Seff, and Jianxiong Xiao · 2015
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Generative adversarial text to image synthesis
Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, and Honglak Lee · 2016
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
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Learning hierarchical semantic image manipulation through structured representations
Seunghoon Hong, Xinchen Yan, Thomas E Huang, and Honglak Lee · 2018
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Progressive growing of GANs for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2018
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Which training methods for GANs do actually converge?
Lars Mescheder, Andreas Geiger, and Sebastian Nowozin · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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Image2stylegan: How to embed images into the stylegan latent space?
Rameen Abdal, Yipeng Qin, and Peter Wonka · 2019
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Large scale GAN training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2019
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
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Improved precision and recall metric for assessing generative models
Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, and Timo Aila · 2019
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Maskgan: Towards diverse and interactive facial image manipulation
Cheng-Han Lee, Ziwei Liu, Lingyun Wu, and Ping Luo · 2019
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Coco-gan: Generation by parts via conditional coordinating
Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, and Hwann-Tzong Chen · 2019
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Semantic image synthesis with spatially-adaptive normalization
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, and Jun-Yan Zhu · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
Cited alongside, same era.
Smit: Stochastic multi-label image-to-image translation
Andrés Romero, Pablo Arbeláez, Luc Van Gool, and Radu Timofte · 2019
Cited alongside, same era.
Slidergan: Synthesizing expressive face images by sliding 3d blendshape parameters, 2019
Evangelos Ververas and Stefanos Zafeiriou · 2019
Cited alongside, same era.
Cutmix: Regularization strategy to train strong classifiers with localizable features
Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, and Youngjoon Yoo · 2019
Cited alongside, same era.
Positional encoding as spatial inductive bias in gans
Rui Xu, Xintao Wang, Kai Chen, Bolei Zhou, and Chen Change Loy · 2020
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Learning continuous image representation with local implicit image function
Yinbo Chen, Sifei Liu, and Xiaolong Wang · 2021
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In&out : Diverse image outpainting via gan inversion, 2021
Yen-Chi Cheng, Chieh Hubert Lin, Hsin-Ying Lee, Jian Ren, Sergey Tulyakov, and Ming-Hsuan Yang · 2021
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Toward spatially unbiased generative models
Jooyoung Choi, Jungbeom Lee, Yonghyun Jeong, and Sungroh Yoon · 2021
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MMGeneration: Openmmlab generative model toolbox and benchmark
MMGeneration Contributors · 2021
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Explaining in style: Training a gan to explain a classifier in stylespace
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
Cited alongside, same era.
Image generators with conditionally-independent pixel synthesis
Ivan Anokhin, Kirill Demochkin, Taras Khakhulin, Gleb Sterkin, Victor Lempitsky, and Denis Korzhenkov · 2020
Cited alongside, same era.
Editing in style: Uncovering the local semantics of gans
Edo Collins, Raja Bala, Bob Price, and Sabine Süsstrunk · 2020
Cited alongside, same era.
On the ”steerability” of generative adversarial networks, 2020
Ali Jahanian, Lucy Chai, and Phillip Isola · 2020
Cited alongside, same era.
Analyzing and improving the image quality of StyleGAN
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2020
Cited alongside, same era.
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects
Evangelos Ntavelis, Andrés Romero, Iason Kastanis, Luc Van Gool, and Radu Timofte · 2020
Cited alongside, same era.
Adversarial generation of continuous images
Ivan Skorokhodov, Savva Ignatyev, and Mohamed Elhoseiny · 2020
Cited alongside, same era.
Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, and Inbar Mosseri · 2021
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Dystyle: Dynamic neural network for multi-attribute-conditioned style editing, 2021
Bingchuan Li, Shaofei Cai, Wei Liu, Peng Zhang, Miao Hua, Qian He, and Zili Yi · 2021
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Infinitygan: Towards infinite-resolution image synthesis
Chieh Hubert Lin, Yen-Chi Cheng, Hsin-Ying Lee, Sergey Tulyakov, and Ming-Hsuan Yang · 2021
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Styleclip: Text-driven manipulation of stylegan imagery, 2021
Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, and Dani Lischinski · 2021
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You only need adversarial supervision for semantic image synthesis
Edgar Schönfeld, Vadim Sushko, Dan Zhang, Juergen Gall, Bernt Schiele, and Anna Khoreva · 2021
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Efficient conditional gan transfer with knowledge propagation across classes
Mohamad Shahbazi, Zhiwu Huang, Danda Pani Paudel, Ajad Chhatkuli, and Luc Van Gool · 2021
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Aligning latent and image spaces to connect the unconnectable, 2021
Ivan Skorokhodov, Grigorii Sotnikov, and Mohamed Elhoseiny · 2021
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Efficient semantic image synthesis via class-adaptive normalization
Zhentao Tan, Dongdong Chen, Qi Chu, Menglei Chai, Jing Liao, Mingming He, Lu Yuan, Gang Hua, and Nenghai Yu · 2021
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Toward spatially unbiased generative models
Jooyoung Choi, Jungbeom Lee, Yonghyun Jeong, and Sungroh Yoon · 2021
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On buggy resizing libraries and surprising subtleties in fid calculation
Gaurav Parmar, Richard Zhang, and Jun-Yan Zhu · 2021
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Collapse by conditioning: Training class-conditional GANs with limited data
Mohamad Shahbazi, Martin Danelljan, Danda Pani Paudel, and Luc Van Gool · 2022
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