Fetching the paper…
Reading the bibliography…
Most image completion methods produce only one result for each masked input, although there may be many reasonable possibilities.
Image inpainting
Marcelo Bertalmio, Guillermo Sapiro, Vincent Caselles, and Coloma Ballester · 2000
Earlier work this paper cites.
Filling-in by joint interpolation of vector fields and gray levels
Coloma Ballester, Marcelo Bertalmio, Vicent Caselles, Guillermo Sapiro, and Joan Verdera · 2001
Earlier work this paper cites.
Simultaneous structure and texture image inpainting
Marcelo Bertalmio, Luminita Vese, Guillermo Sapiro, and Stanley Osher · 2003
Earlier work this paper cites.
Object removal by exemplar-based inpainting
Antonio Criminisi, Patrick Perez, and Kentaro Toyama · 2003
Earlier work this paper cites.
Learning how to inpaint from global image statistics
Anat Levin, Assaf Zomet, and Yair Weiss · 2003
Earlier work this paper cites.
Region filling and object removal by exemplar-based image inpainting
Antonio Criminisi, Patrick Pérez, and Kentaro Toyama · 2004
Earlier work this paper cites.
Scene completion using millions of photographs
James Hays and Alexei A Efros · 2007
Earlier work this paper cites.
Patchmatch: A randomized correspondence algorithm for structural image editing
Connelly Barnes, Eli Shechtman, Adam Finkelstein, and Dan B Goldman · 2009
Earlier work this paper cites.
What makes paris look like paris?
Carl Doersch, Saurabh Singh, Abhinav Gupta, Josef Sivic, and Alexei Efros · 2012
Earlier work this paper cites.
Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
Earlier work this paper cites.
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew M Saxe, James L McClelland, and Surya Ganguli · 2013
Earlier work this paper cites.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Image completion using planar structure guidance
Jia-Bin Huang, Sing Bing Kang, Narendra Ahuja, and Johannes Kopf · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Mask-specific inpainting with deep neural networks
Rolf Köhler, Christian Schuler, Bernhard Schölkopf, and Stefan Harmeling · 2014
Earlier work this paper cites.
Spatial transformer networks
Max Jaderberg, Karen Simonyan, Andrew Zisserman, et al · 2015
Earlier work this paper cites.
Deep learning face attributes in the wild
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
Cited alongside, same era.
Deep multi-scale video prediction beyond mean square error
Michael Mathieu, Camille Couprie, and Yann LeCun · 2015
Cited alongside, same era.
Shepard convolutional neural networks
Jimmy SJ Ren, Li Xu, Qiong Yan, and Wenxiu Sun · 2015
Cited alongside, same era.
Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al · 2015
Cited alongside, same era.
Learning structured output representation using deep conditional generative models
Kihyuk Sohn, Honglak Lee, and Xinchen Yan · 2015
Cited alongside, same era.
Context encoders: Feature learning by inpainting
High-resolution image inpainting using multi-scale neural patch synthesis
Chao Yang, Xin Lu, Zhe Lin, Eli Shechtman, Oliver Wang, and Hao Li · 2017
Later among the works it cites.
Semantic image inpainting with deep generative models
Raymond A Yeh, Chen Chen, Teck Yian Lim, Alexander G Schwing, Mark Hasegawa-Johnson, and Minh N Do · 2017
Later among the works it cites.
Toward multimodal image-to-image translation
Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A Efros, Oliver Wang, and Eli Shechtman · 2017
Later among the works it cites.
Zeyuan Chen, Shaoliang Nie, Tianfu Wu, and Christopher G Healey · 2018
Later among the works it cites.
Neural scene representation and rendering
S. M. Ali Eslami, Danilo Jimenez Rezende, Frederic Besse, Fabio Viola, Ari S. Morcos, Marta Garnelo, Avraham Ruderman, Andrei A. Rusu, Ivo Danihelka, Karol Gregor, David P. Reichert, Lars Buesing, Theophane Weber, Oriol Vinyals, Dan Rosenbaum, Neil Rabinowitz, Helen King, Chloe Hillier, Matt Botvinick, Daan Wierstra, Koray Kavukcuoglu, and Demis Hassabis · 2018
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue, Trevor Darrell, and Alexei A Efros · 2016
Cited alongside, same era.
Improved techniques for training gans
Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
Cited alongside, same era.
An uncertain future: Forecasting from static images using variational autoencoders
Jacob Walker, Carl Doersch, Abhinav Gupta, and Martial Hebert · 2016
Cited alongside, same era.
View synthesis by appearance flow
Tinghui Zhou, Shubham Tulsiani, Weilun Sun, Jitendra Malik, and Alexei A Efros · 2016
Cited alongside, same era.
Cvae-gan: Fine-grained image generation through asymmetric training
Jianmin Bao, Dong Chen, Fang Wen, Houqiang Li, and Gang Hua · 2017
Cited alongside, same era.
Globally and locally consistent image completion
Satoshi Iizuka, Edgar Simo-Serra, and Hiroshi Ishikawa · 2017
Cited alongside, same era.
Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
Cited alongside, same era.
Later among the works it cites.
Diverse image-to-image translation via disentangled representations
Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Maneesh Singh, and Ming-Hsuan Yang · 2018
Later among the works it cites.
Image inpainting for irregular holes using partial convolutions
Guilin Liu, Fitsum A. Reda, Kevin J. Shih, Ting-Chun Wang, Andrew Tao, and Bryan Catanzaro · 2018
Later among the works it cites.
Contextual-based image inpainting: Infer, match, and translate
Yuhang Song, Chao Yang, Zhe Lin, Xiaofeng Liu, Qin Huang, Hao Li, and CC Jay · 2018
Later among the works it cites.
Spg-net: Segmentation prediction and guidance network for image inpainting
Yuhang Song, Chao Yang, Yeji Shen, Peng Wang, Qin Huang, and C-C Jay Kuo · 2018
Later among the works it cites.
Shift-net: Image inpainting via deep feature rearrangement
Zhaoyi Yan, Xiaoming Li, Mu Li, Wangmeng Zuo, and Shiguang Shan · 2018
Later among the works it cites.
Free-form image inpainting with gated convolution
Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, and Thomas S Huang · 2018
Later among the works it cites.
Generative image inpainting with contextual attention
Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, and Thomas S Huang · 2018
Later among the works it cites.
Self-attention generative adversarial networks
Han Zhang, Ian Goodfellow, Dimitris Metaxas, and Augustus Odena · 2018
Later among the works it cites.
T2net: Synthetic-to-realistic translation for solving single-image depth estimation tasks
Chuanxia Zheng, Tat-Jen Cham, and Jianfei Cai · 2018
Later among the works it cites.
Places: A 10 million image database for scene recognition
Bolei Zhou, Agata Lapedriza, Aditya Khosla, Aude Oliva, and Antonio Torralba · 2018
Later among the works it cites.