‘ProGAN’ directory
- See Also
- Gwern
- Links
- “A Novel Model Watermarking for Protecting Generative Adversarial Network”, Qiao et al 2023
- “MontageGAN: Generation and Assembly of Multiple Components by GANs”, Shee & Uchida 2022
- “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
- “Progressive Growing of GANs for Improved Quality, Stability, and Variation: 3. Increasing Variation Using Minibatch Standard Deviation”
- “ProGAN: Progressive Growing of GANs for Improved Quality, Stability, and Variation [Video]”
- Sort By Magic
- 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
“MontageGAN: Generation and Assembly of Multiple Components by GANs”, Shee & Uchida 2022
MontageGAN: Generation and Assembly of Multiple Components by GANs
“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
“Progressive Growing of GANs for Improved Quality, Stability, and Variation: 3. Increasing Variation Using Minibatch Standard Deviation”
“ProGAN: Progressive Growing of GANs for Improved Quality, Stability, and Variation [Video]”
ProGAN: Progressive Growing of GANs for Improved Quality, Stability, and Variation [video]
Sort By Magic
Annotations sorted by machine learning into inferred 'tags'. This provides an alternative way to browse: instead of by date order, one can browse in topic order. The 'sorted' list has been automatically clustered into multiple sections & auto-labeled for easier browsing.
Beginning with the newest annotation, it uses the embedding of each annotation to attempt to create a list of nearest-neighbor annotations, creating a progression of topics. For more details, see the link.
image-generation
level-design style-enhancement game-dev montagegan generation-assembly game-gans
watermarking-gan progressive-gan image-synthesis generation-gan artistic-gan watermarking
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”,