- See Also
- Gwern
-
Links
- “A Novel Model Watermarking for Protecting Generative Adversarial Network”, Qiao et al 2023
- “Level Generation and Style Enhancement—Deep Learning for Game Development Overview”, Migdał et al 2021
- “CómicGAN: Generación De Ilustraciones Con Redes GAN De Crecimiento Progresivo”, Hernández 2021
- “Brain-Computer Interface for Generating Personally Attractive Images”, Spape et al 2021
- “Progressive Growing of GANs for Improved Quality, Stability, and Variation”, Karras et al 2017
- “StackGAN++: Realistic Image Synthesis With Stacked Generative Adversarial Networks”, Zhang et al 2017
- “ProGAN: Progressive Growing of GANs for Improved Quality, Stability, and Variation [Video]”
- Miscellaneous
- Bibliography
See Also
Gwern
“Anime Neural Net Graveyard”, Gwern 2019
Links
“A Novel Model Watermarking for Protecting Generative Adversarial Network”, Qiao et al 2023
A novel model watermarking for protecting generative adversarial network
“Level Generation and Style Enhancement—Deep Learning for Game Development Overview”, Migdał et al 2021
Level generation and style enhancement—deep learning for game development overview
“CómicGAN: Generación De Ilustraciones Con Redes GAN De Crecimiento Progresivo”, Hernández 2021
CómicGAN: Generación de ilustraciones con redes GAN de crecimiento progresivo
“Brain-Computer Interface for Generating Personally Attractive Images”, Spape et al 2021
Brain-computer interface for generating personally attractive images
“Progressive Growing of GANs for Improved Quality, Stability, and Variation”, Karras et al 2017
Progressive Growing of GANs for Improved Quality, Stability, and Variation
“StackGAN++: Realistic Image Synthesis With Stacked Generative Adversarial Networks”, Zhang et al 2017
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
“ProGAN: Progressive Growing of GANs for Improved Quality, Stability, and Variation [Video]”
ProGAN: Progressive Growing of GANs for Improved Quality, Stability, and Variation [video]
Miscellaneous
-
/doc/ai/nn/gan/stylegan/progan/2019-02-06-gwern-progan-danbooru2017-faces-2112-057891.mp4
: -
/doc/ai/nn/gan/stylegan/progan/2019-02-05-gwern-progan-animefaces.jpg
: -
/doc/ai/nn/gan/stylegan/progan/2019-01-17-gwern-progan-danbooru2017.jpg
: -
/doc/ai/nn/gan/stylegan/progan/2018-10-29-gwern-progan-holo-faces-latentinterpolation.mp4
: -
/doc/ai/nn/gan/stylegan/progan/2018-10-04-gwern-progan-holofaces-overfitsamples-010325.jpg
: -
/doc/ai/nn/gan/stylegan/progan/2018-09-22-gwern-progan-holofaces-samples.png
: -
/doc/ai/nn/gan/stylegan/progan/2018-09-22-gwern-progan-holofaces-topdecile.png
: -
/doc/ai/nn/gan/stylegan/progan/2018-09-18-gwern-progan-asukafaces-09160.jpg
: -
/doc/ai/nn/gan/stylegan/progan/2018-09-08-gwern-progan-wholeasuka-trainingsample-010361.jpg
: -
/doc/ai/nn/gan/stylegan/progan/2018-08-31-gwern-progan-wholeasuka-trainingsample-009335.png
:
Bibliography
-
2023-qiao.pdf
: “A Novel Model Watermarking for Protecting Generative Adversarial Network”, -
https://arxiv.org/abs/2107.07397
: “Level Generation and Style Enhancement—Deep Learning for Game Development Overview”,