Fetching the paper…
Reading the bibliography…
Despite the recent success of GANs in synthesizing images conditioned on inputs such as a user sketch, text, or semantic labels, manipulating the high-level attributes of an existing natural photograph with GANs is challenging for two reasons.
Color transfer between images
Erik Reinhard, Michael Adhikhmin, Bruce Gooch, and Peter Shirley. 2001 · 2001
Earlier work this paper cites.
Fast bilateral filtering for the display of high-dynamic-range images. In ACM transactions on graphics (TOG) , Vol. 21. ACM, 257–266
Frédo Durand and Julie Dorsey. 2002 · 2002
Earlier work this paper cites.
Poisson image editing
Patrick Pérez, Michel Gangnet, and Andrew Blake. 2003 · 2003
Earlier work this paper cites.
Colorization using optimization. In ACM transactions on graphics (tog) , Vol. 23. ACM, 689–694
Anat Levin, Dani Lischinski, and Yair Weiss. 2004 · 2004
Earlier work this paper cites.
Seam carving for content-aware image resizing. In ACM Transactions on graphics (TOG) , Vol. 26. ACM, 10
Shai Avidan and Ariel Shamir. 2007 · 2007
Earlier work this paper cites.
Photo clip art
Jean-François Lalonde, Derek Hoiem, Alexei A Efros, Carsten Rother, John Winn, and Antonio Criminisi. 2007 · 2007
Earlier work this paper cites.
AppProp: all-pairs appearance-space edit propagation. In ACM Transactions on Graphics (TOG) , Vol. 27. ACM, 40
Xiaobo An and Fabio Pellacini. 2008 · 2008
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 · 2009
Earlier work this paper cites.
Error-tolerant image compositing. In ECCV
Michael W Tao, Micah K Johnson, and Sylvain Paris. 2010 · 2010
Earlier work this paper cites.
Rendering synthetic objects into legacy photographs
Kevin Karsch, Varsha Hedau, David Forsyth, and Derek Hoiem. 2011 · 2011
Earlier work this paper cites.
Understanding and improving the realism of image composites
Su Xue, Aseem Agarwala, Julie Dorsey, and Holly Rushmeier. 2012 · 2012
Earlier work this paper cites.
Generative adversarial nets. In NIPS
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
3D object manipulation in a single photograph using stock 3D models
Natasha Kholgade, Tomas Simon, Alexei Efros, and Yaser Sheikh. 2014 · 2014
Earlier work this paper cites.
Auto-encoding variational bayes
Diederik P Kingma and Max Welling. 2014 · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization. In ICLR
Diederik Kingma and Jimmy Ba. 2015 · 2015
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition. In ICLR
Karen Simonyan and Andrew Zisserman. 2015 · 2015
Earlier work this paper cites.
Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop
Fisher Yu, Ari Seff, Yinda Zhang, Shuran Song, Thomas Funkhouser, and Jianxiong Xiao. 2015 · 2015
Earlier work this paper cites.
Infogan: Interpretable representation learning by information maximizing generative adversarial nets. In NIPS
Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, and Pieter Abbeel. 2016 · 2016
Cited alongside, same era.
Generating images with perceptual similarity metrics based on deep networks. In NIPS
Alexey Dosovitskiy and Thomas Brox. 2016 · 2016
Cited alongside, same era.
Image Style Transfer Using Convolutional Neural Networks
Leon A Gatys, Alexander S Ecker, and Matthias Bethge. 2016 · 2016
Cited alongside, same era.
Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification
Satoshi Iizuka, Edgar Simo-Serra, and Hiroshi Ishikawa. 2016 · 2016
Cited alongside, same era.
Context Encoders: Feature Learning by Inpainting
Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue, Trevor Darrell, and Alexei A Efros. 2016 · 2016
Cited alongside, same era.
Warp-guided GANs for single-photo facial animation. In SIGGRAPH Asia . 231
Jiahao Geng, Tianjia Shao, Youyi Zheng, Yanlin Weng, and Kun Zhou. 2018 · 2018
Later among the works it cites.
Learning hierarchical semantic image manipulation through structured representations. In Advances in Neural Information Processing Systems . 2708–2718
Seunghoon Hong, Xinchen Yan, Thomas S Huang, and Honglak Lee. 2018 · 2018
Later among the works it cites.
Progressive growing of gans for improved quality, stability, and variation. In ICLR
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen. 2018 · 2018
Later among the works it cites.
Deep context-aware descreening and rescreening of halftone images
Tae-Hoon Kim and Sang Il Park. 2018 · 2018
Later among the works it cites.
A closed-form solution to photorealistic image stylization. In ECCV
Yijun Li, Ming-Yu Liu, Xueting Li, Ming-Hsuan Yang, and Jan Kautz. 2018 · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Invertible conditional gans for image editing. In NIPS Workshop on Adversarial Training
Guim Perarnau, Joost van de Weijer, Bogdan Raducanu, and Jose M Álvarez. 2016 · 2016
Cited alongside, same era.
Emptying, refurnishing, and relighting indoor spaces
Edward Zhang, Michael F Cohen, and Brian Curless. 2016a · 2016
Cited alongside, same era.
Generative Visual Manipulation on the Natural Image Manifold. In ECCV
Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, and Alexei A. Efros. 2016 · 2016
Cited alongside, same era.
Neural photo editing with introspective adversarial networks. In ICLR
Andrew Brock, Theodore Lim, James M Ritchie, and Nick Weston. 2017 · 2017
Cited alongside, same era.
Deep bilateral learning for real-time image enhancement
Michaël Gharbi, Jiawen Chen, Jonathan T Barron, Samuel W Hasinoff, and Frédo Durand. 2017 · 2017
Cited alongside, same era.
Globally and locally consistent image completion
Satoshi Iizuka, Edgar Simo-Serra, and Hiroshi Ishikawa. 2017 · 2017
Cited alongside, same era.
Image-to-image translation with conditional adversarial networks. In CVPR
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros. 2017 · 2017
Cited alongside, same era.
Spectral normalization for generative adversarial networks. In ICLR
Takeru Miyato, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida. 2018 · 2018
Later among the works it cites.
paGAN: real-time avatars using dynamic textures. In SIGGRAPH Asia . 258
Koki Nagano, Jaewoo Seo, Jun Xing, Lingyu Wei, Zimo Li, Shunsuke Saito, Aviral Agarwal, Jens Fursund, Hao Li, Richard Roberts, et al · 2018
Later among the works it cites.
Faceshop: Deep Sketch-based Face Image Editing
Tiziano Portenier, Qiyang Hu, Attila Szabó, Siavash Arjomand Bigdeli, Paolo Favaro, and Matthias Zwicker. 2018 · 2018
Later among the works it cites.
“Zero-Shot” Super-Resolution using Deep Internal Learning. In CVPR
Assaf Shocher, Nadav Cohen, and Michal Irani. 2018 · 2018
Later among the works it cites.
Deep image prior. In CVPR
Dmitry Ulyanov, Andrea Vedaldi, and Victor Lempitsky. 2018 · 2018
Later among the works it cites.
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs. In CVPR
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, and Bryan Catanzaro. 2018 · 2018
Later among the works it cites.
Generative Image Inpainting With Contextual Attention. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, and Thomas S. Huang. 2018 · 2018
Later among the works it cites.
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks. In ICLR
David Bau, Jun-Yan Zhu, Hendrik Strobelt, Zhou Bolei, Joshua B. Tenenbaum, William T. Freeman, and Antonio Torralba. 2019 · 2019
Later among the works it cites.
Large scale gan training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan. 2019 · 2019
Later among the works it cites.
A style-based generator architecture for generative adversarial networks. In CVPR
Tero Karras, Samuli Laine, and Timo Aila. 2019 · 2019
Later among the works it cites.
Semantic Image Synthesis with Spatially-Adaptive Normalization. In CVPR
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, and Jun-Yan Zhu. 2019 · 2019
Later among the works it cites.