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GANs can generate photo-realistic images from the domain of their training data.
Esrgan: Enhanced super-resolution generative adversarial networks, 2018
X. Wang, K. Yu, S. Wu, J. Gu, Y. Liu, C. Dong, C. C. Loy, Y. Qiao, and X. Tang · 2018
Earlier work this paper cites.
Image2stylegan: How to embed images into the stylegan latent space?, 2019
R. Abdal, Y. Qin, and P. Wonka · 2019
Earlier work this paper cites.
Style generator inversion for image enhancement and animation, 2019
A. Gabbay and Y. Hoshen · 2019
Earlier work this paper cites.
A style-based generator architecture for generative adversarial networks, 2019
T. Karras, S. Laine, and T. Aila · 2019
Earlier work this paper cites.
Stylegan – encoder for official tensorflow implementation
D. Nikitko · 2019
Cited alongside, same era.
Building a manga dataset “manga109” with annotations for multimedia applications
K. Aizawa, A. Fujimoto, A. Otsubo, T. Ogawa, Y. Matsui, K. Tsubota, and H. Ikuta · 2020
Cited alongside, same era.
Editing in style: Uncovering the local semantics of gans, 2020
E. Collins, R. Bala, B. Price, and S. Süsstrunk · 2020
Cited alongside, same era.
Deep ensembles: A loss landscape perspective, 2020
S. Fort, H. Hu, and B. Lakshminarayanan · 2020
Cited alongside, same era.
Aligned ukiyo-e faces dataset
J. N. M. Pinkney
Cited in the paper.
Awesome pretrained stylegan2
J. N. M. Pinkney
Cited in the paper.
Analyzing and improving the image quality of stylegan, 2020
T. Karras, S. Laine, M. Aittala, J. Hellsten, J. Lehtinen, and T. Aila · 2020
Closest in time.
Encoding in style: a stylegan encoder for image-to-image translation, 2020
E. Richardson, Y. Alaluf, O. Patashnik, Y. Nitzan, Y. Azar, S. Shapiro, and D. Cohen-Or · 2020
Closest in time.
In-domain gan inversion for real image editing, 2020
J. Zhu, Y. Shen, D. Zhao, and B. Zhou · 2020
Closest in time.
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