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We propose a novel method, StyLitGAN, for relighting and resurfacing generated images in the absence of labeled data.
The retinex theory of color vision
Edwin H Land · 1977
Earlier work this paper cites.
What is the set of images of an object under all possible illumination conditions?
Peter N Belhumeur and David J Kriegman · 1998
Earlier work this paper cites.
Image quilting for texture synthesis and transfer
Alexei A Efros and William T Freeman · 2001
Earlier work this paper cites.
Image analogies
Aaron Hertzmann, Charles E Jacobs, Nuria Oliver, Brian Curless, and David H Salesin · 2001
Earlier work this paper cites.
Color transfer between images
Erik Reinhard, Michael Adhikhmin, Bruce Gooch, and Peter Shirley · 2001
Earlier work this paper cites.
A subdivision-based representation for vector image editing
Zicheng Liao, Hugues Hoppe, David Forsyth, and Yizhou Yu · 2012
Earlier work this paper cites.
Intrinsic images in the wild
Sean Bell, Kavita Bala, and Noah Snavely · 2014
Earlier work this paper cites.
Generative adversarial networks
Ian J Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
An l 1 image transform for edge-preserving smoothing and scene-level intrinsic decomposition
Sai Bi, Xiaoguang Han, and Yizhou Yu · 2015
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2015
Earlier work this paper cites.
Image style transfer using convolutional neural networks
Leon A Gatys, Alexander S Ecker, and Matthias Bethge · 2016
Earlier work this paper cites.
Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
Earlier work this paper cites.
Learning diverse image colorization
Aditya Deshpande, Jiajun Lu, Mao-Chuang Yeh, Min Jin Chong, and David Forsyth · 2017
Earlier work this paper cites.
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
Earlier work this paper cites.
Self-supervised intrinsic image decomposition
Michael Janner, Jiajun Wu, Tejas D Kulkarni, Ilker Yildirim, and Josh Tenenbaum · 2017
Earlier work this paper cites.
Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
Earlier work this paper cites.
Revisiting deep intrinsic image decompositions
Qingnan Fan, Jiaolong Yang, Gang Hua, Baoquan Chen, and David Wipf · 2018
Earlier work this paper cites.
Cgintrinsics: Better intrinsic image decomposition through physically-based rendering
Zhengqi Li and Noah Snavely · 2018
Earlier work this paper cites.
Deep image prior
Dmitry Ulyanov, Andrea Vedaldi, and Victor Lempitsky · 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
Cited alongside, same era.
A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 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
Cited alongside, same era.
Single image portrait relighting
Tiancheng Sun, Jonathan T Barron, Yun-Ta Tsai, Zexiang Xu, Xueming Yu, Graham Fyffe, Christoph Rhemann, Jay Busch, Paul Debevec, and Ravi Ramamoorthi · 2019
Cited alongside, same era.
Deep single-image portrait relighting
Hao Zhou, Sunil Hadap, Kalyan Sunkavalli, and David W Jacobs · 2019
Cited alongside, same era.
Alias-free generative adversarial networks
Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2021
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Editgan: High-precision semantic image editing
Huan Ling, Karsten Kreis, Daiqing Li, Seung Wook Kim, Antonio Torralba, and Sanja Fidler · 2021
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A shading-guided generative implicit model for shape-accurate 3d-aware image synthesis
Xingang Pan, Xudong Xu, Chen Change Loy, Christian Theobalt, and Bo Dai · 2021
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Total relighting: learning to relight portraits for background replacement
Rohit Pandey, Sergio Orts Escolano, Chloe Legendre, Christian Haene, Sofien Bouaziz, Christoph Rhemann, Paul Debevec, and Sean Fanello · 2021
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Encoding in style: a stylegan encoder for image-to-image translation
Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, and Daniel Cohen-Or · 2021
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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 · 2020
Cited alongside, same era.
Learning physics-guided face relighting under directional light
Thomas Nestmeyer, Jean-François Lalonde, Iain Matthews, Epic Games, Andreas Lehrmann, and AI Borealis · 2020
Cited alongside, same era.
Interfacegan: Interpreting the disentangled face representation learned by gans
Yujun Shen, Ceyuan Yang, Xiaoou Tang, and Bolei Zhou · 2020
Cited alongside, same era.
Stylerig: Rigging stylegan for 3d control over portrait images
Ayush Tewari, Mohamed Elgharib, Gaurav Bharaj, Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zollhofer, and Christian Theobalt · 2020
Cited alongside, same era.
Unsupervised discovery of interpretable directions in the gan latent space
Andrey Voynov and Artem Babenko · 2020
Cited alongside, same era.
Semantic hierarchy emerges in deep generative representations for scene synthesis
Ceyuan Yang, Yujun Shen, and Bolei Zhou · 2020
Cited alongside, same era.
Soumyadip Sengupta, Brian Curless, Ira Kemelmacher-Shlizerman, and Steven M Seitz · 2021
Later among the works it cites.
Gan-control: Explicitly controllable gans
Alon Shoshan, Nadav Bhonker, Igor Kviatkovsky, and Gerard Medioni · 2021
Later among the works it cites.
Stylespace analysis: Disentangled controls for stylegan image generation
Zongze Wu, Dani Lischinski, and Eli Shechtman · 2021
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Gan inversion: A survey
Weihao Xia, Yulun Zhang, Yujiu Yang, Jing-Hao Xue, Bolei Zhou, and Ming-Hsuan Yang · 2021
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Dual contrastive loss and attention for gans
Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry S Davis, and Mario Fritz · 2021
Later among the works it cites.
Cut-and-paste object insertion by enabling deep image prior for reshading
Anand Bhattad and D.A. Forsyth · 2022
Closest in time.
Blobgan: Spatially disentangled scene representations
Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, and Alexei A Efros · 2022
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Intrinsic image decomposition using paradigms
D.A. Forsyth and Jason J Rock · 2022
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Physically-based editing of indoor scene lighting from a single image
Zhengqin Li, Jia Shi, Sai Bi, Rui Zhu, Kalyan Sunkavalli, Miloš Hašan, Zexiang Xu, Ravi Ramamoorthi, and Manmohan Chandraker · 2022
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On aliased resizing and surprising subtleties in gan evaluation
Gaurav Parmar, Richard Zhang, and Jun-Yan Zhu · 2022
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Volux-gan: A generative model for 3d face synthesis with hdri relighting
Feitong Tan, Sean Fanello, Abhimitra Meka, Sergio Orts-Escolano, Danhang Tang, Rohit Pandey, Jonathan Taylor, Ping Tan, and Yinda Zhang · 2022
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Make it so: Steering stylegan for any image inversion and editing, 2023
Anand Bhattad, Viraj Shah, Derek Hoiem, and D. A. Forsyth · 2023
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