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Recent research has shown remarkable success in revealing "steering" directions in the latent spaces of pre-trained GANs.
Analyzing and improving the image quality of stylegan
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 1912
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.
Unsupervised representation learning with deep convolutional generative adversarial networks
Alec Radford, Luke Metz, and Soumith Chintala · 2015
Earlier work this paper cites.
Tom White · 2016
Earlier work this paper cites.
Optimizing the latent space of generative networks
Piotr Bojanowski, Armand Joulin, David Lopez-Pas, and Arthur Szlam · 2018
Earlier work this paper cites.
Large scale gan training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2018
Earlier work this paper cites.
Stargan: Unified generative adversarial networks for multi-domain image-to-image translation
Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, and Jaegul Choo · 2018
Earlier work this paper cites.
Progressive growing of GANs for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2018
Earlier work this paper cites.
Semantic interpolation in implicit models
Yannic Kilcher, Aurelien Lucchi, and Thomas Hofmann · 2018
Cited alongside, same era.
Spectral normalization for generative adversarial networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida · 2018
Cited alongside, same era.
Elegant: Exchanging latent encodings with gan for transferring multiple face attributes
Taihong Xiao, Jiapeng Hong, and Jinwen Ma · 2018
Cited alongside, same era.
Specifying object attributes and relations in interactive scene generation
Oron Ashual and Lior Wolf · 2019
Cited alongside, same era.
Detecting bias with generative counterfactual face attribute augmentation
Emily Denton, Ben Hutchinson, Margaret Mitchell, and Timnit Gebru · 2019
Cited alongside, same era.
Ganalyze: Toward visual definitions of cognitive image properties
Ganspace: Discovering interpretable gan controls
Erik Härkönen, Aaron Hertzmann, Jaakko Lehtinen, and Sylvain Paris · 2020
Closest in time.
On the ”steerability” of generative adversarial networks
Ali Jahanian, Lucy Chai, and Phillip Isola · 2020
Closest in time.
The hessian penalty: A weak prior for unsupervised disentanglement
William Peebles, John Peebles, Jun-Yan Zhu, Alexei A. Efros, and Antonio Torralba · 2020
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Controlling generative models with continuous factors of variations
Antoine Plumerault, Hervé Le Borgne, and Céline Hudelot · 2020
Closest in time.
Interpreting the latent space of gans for semantic face editing
Yujun Shen, Jinjin Gu, Xiaoou Tang, and Bolei Zhou · 2020
Closest in time.
Unsupervised discovery of interpretable directions in the gan latent space
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Lore Goetschalckx, Alex Andonian, Aude Oliva, and Phillip Isola · 2019
Cited alongside, same era.
Semantic hierarchy emerges in deep generative representations for scene synthesis
Ceyuan Yang, Yujun Shen, and Bolei Zhou · 2019
Cited alongside, same era.
A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila
Cited in the paper.
Andrey Voynov and Artem Babenko · 2020
Closest in time.
The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2020
Closest in time.