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Numerous task-specific variants of conditional generative adversarial networks have been developed for image completion.
Coherent semantic attention for image inpainting
Hongyu Liu, Bin Jiang, Yi Xiao, and Chao Yang · 1905
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Stochastic conditional generative networks with basis decomposition
Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, and Qiang Qiu · 1909
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Lafin: Generative landmark guided face inpainting
Yang Yang, Xiaojie Guo, Jiayi Ma, Lin Ma, and Haibin Ling · 1911
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Analyzing and improving the image quality of stylegan
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 1912
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Texture synthesis by non-parametric sampling
Alexei A Efros and Thomas K Leung · 1999
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Filling-in by joint interpolation of vector fields and gray levels
Coloma Ballester, Marcelo Bertalmio, Vicent Caselles, Guillermo Sapiro, and Joan Verdera · 2001
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Image quilting for texture synthesis and transfer
Alexei A Efros and William T Freeman · 2001
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Support vector machine solvers
Léon Bottou and Chih-Jen Lin · 2007
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Patchmatch: A randomized correspondence algorithm for structural image editing
Connelly Barnes, Eli Shechtman, Adam Finkelstein, and Dan B Goldman · 2009
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Image melding: Combining inconsistent images using patch-based synthesis
Soheil Darabi, Eli Shechtman, Connelly Barnes, Dan B Goldman, and Pradeep Sen · 2012
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Image denoising and inpainting with deep neural networks
Junyuan Xie, Linli Xu, and Enhong Chen · 2012
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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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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Mask-specific inpainting with deep neural networks
Rolf Köhler, Christian Schuler, Bernhard Schölkopf, and Stefan Harmeling · 2014
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Shepard convolutional neural networks
Jimmy SJ Ren, Li Xu, Qiong Yan, and Wenxiu Sun · 2015
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A learned representation for artistic style
Vincent Dumoulin, Jonathon Shlens, and Manjunath Kudlur · 2016
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Revisiting classifier two-sample tests
David Lopez-Paz and Maxime Oquab · 2016
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Context encoders: Feature learning by inpainting
Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue, Trevor Darrell, and Alexei A Efros · 2016
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Weight normalization: A simple reparameterization to accelerate training of deep neural networks
Tim Salimans and Durk P Kingma · 2016
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Improved techniques for training gans
Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
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Deligan: Generative adversarial networks for diverse and limited data
Swaminathan Gurumurthy, Ravi Kiran Sarvadevabhatla, and R Venkatesh Babu · 2017
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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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Arbitrary style transfer in real-time with adaptive instance normalization
Xun Huang and Serge Belongie · 2017
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Globally and locally consistent image completion
Satoshi Iizuka, Edgar Simo-Serra, and Hiroshi Ishikawa · 2017
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Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
Cited alongside, same era.
Avisek Lahiri, Arnav Jain, Prabir Kumar Biswas, and Pabitra Mitra · 2017
Cited alongside, same era.
Introspective neural networks for generative modeling
Justin Lazarow, Long Jin, and Zhuowen Tu · 2017
Cited alongside, same era.
Unsupervised image-to-image translation networks
Ming-Yu Liu, Thomas Breuel, and Jan Kautz · 2017
Cited alongside, same era.
Learning to generate images with perceptual similarity metrics
Jake Snell, Karl Ridgeway, Renjie Liao, Brett D Roads, Michael C Mozer, and Richard S Zemel · 2017
Cited alongside, same era.
On the effects of batch and weight normalization in generative adversarial networks
Generative image inpainting with contextual attention
Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, and Thomas S Huang · 2018
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Diversity-generated image inpainting with style extraction
Weiwei Cai and Zhanguo Wei · 2019
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On self modulation for generative adversarial networks
Ting Chen, Mario Lucic, Neil Houlsby, and Sylvain Gelly · 2019
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On the evaluation of conditional gans
Terrance DeVries, Adriana Romero, Luis Pineda, Graham W Taylor, and Michal Drozdzal · 2019
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Robust image completion via deep feature transformations
Jianmin Jiang, Hossam M Kasem, and Kwok-Wai Hung · 2019
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Sitao Xiang and Hao Li · 2017
Cited alongside, same era.
High-resolution image inpainting using multi-scale neural patch synthesis
Chao Yang, Xin Lu, Zhe Lin, Eli Shechtman, Oliver Wang, and Hao Li · 2017
Cited alongside, same era.
Dualgan: Unsupervised dual learning for image-to-image translation
Zili Yi, Hao Zhang, Ping Tan, and Minglun Gong · 2017
Cited alongside, same era.
Places: A 10 million image database for scene recognition
Bolei Zhou, Agata Lapedriza, Aditya Khosla, Aude Oliva, and Antonio Torralba · 2017
Cited alongside, same era.
Deep structured energy-based image inpainting
Fazil Altinel, Mete Ozay, and Takayuki Okatani · 2018
Cited alongside, same era.
Mikołaj Bińkowski, Dougal J Sutherland, Michael Arbel, and Arthur Gretton · 2018
Cited alongside, same era.
The perception-distortion tradeoff
Yochai Blau and Tomer Michaeli · 2018
Cited alongside, same era.
Youngjoo Jo and Jongyoul Park · 2019
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Junho Kim, Minjae Kim, Hyeonwoo Kang, and Kwanghee Lee · 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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Region-wise generative adversarial imageinpainting for large missing areas
Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Aishan Liu, Dacheng Tao, and Edwin Hancock · 2019
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Mode seeking generative adversarial networks for diverse image synthesis
Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Siwei Ma, and Ming-Hsuan Yang · 2019
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Edgeconnect: Generative image inpainting with adversarial edge learning
Kamyar Nazeri, Eric Ng, Tony Joseph, Faisal Qureshi, and Mehran Ebrahimi · 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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Structureflow: Image inpainting via structure-aware appearance flow
Yurui Ren, Xiaoming Yu, Ruonan Zhang, Thomas H Li, Shan Liu, and Ge Li · 2019
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Pepsi: Fast image inpainting with parallel decoding network
Min-cheol Sagong, Yong-goo Shin, Seung-wook Kim, Seung Park, and Sung-jea Ko · 2019
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Image inpainting with learnable bidirectional attention maps
Chaohao Xie, Shaohui Liu, Chao Li, Ming-Ming Cheng, Wangmeng Zuo, Xiao Liu, Shilei Wen, and Errui Ding · 2019
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Foreground-aware image inpainting
Wei Xiong, Jiahui Yu, Zhe Lin, Jimei Yang, Xin Lu, Connelly Barnes, and Jiebo Luo · 2019
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Free-form image inpainting with gated convolution
Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, and Thomas S Huang · 2019
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Region Normalization for Image Inpainting
Tao Yu, Zongyu Guo, Xin Jin, Shilin Wu, Zhibo Chen, Weiping Li, Zhizheng Zhang, and Sen Liu · 2019
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Learning pyramid-context encoder network for high-quality image inpainting
Yanhong Zeng, Jianlong Fu, Hongyang Chao, and Baining Guo · 2019
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Pluralistic image completion
Chuanxia Zheng, Tat-Jen Cham, and Jianfei Cai · 2019
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Prior guided gan based semantic inpainting
Avisek Lahiri, Arnav Kumar Jain, Sanskar Agrawal, Pabitra Mitra, and Prabir Kumar Biswas · 2020
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Recurrent feature reasoning for image inpainting
Jingyuan Li, Ning Wang, Lefei Zhang, Bo Du, and Dacheng Tao · 2020
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Rethinking image inpainting via a mutual encoder-decoder with feature equalizations
Hongyu Liu, Bin Jiang, Yibing Song, Wei Huang, and Chao Yang · 2020
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Learning oracle attention for high-fidelity face completion
Tong Zhou, Changxing Ding, Shaowen Lin, Xinchao Wang, and Dacheng Tao · 2020
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