Bibliography (29):

  1. ​ Making Anime Faces With StyleGAN

  2. ​ I Experiment With 128px ImageNet Transfer Learning (Successful) With ~6 GPU-Days, and From-Scratch 256px Anime Portraits of 1,000 Characters on a 8×2080ti Machine for a Month (Mixed Results). My BigGAN Results Are Good but Compromised by Practical Problems With the Released BigGAN Code Base.

    [Transclude the forward-link's context]

  3. ​ This Waifu Does Not Exist

  4. Progressive Growing of GANs for Improved Quality, Stability, and Variation

  5. Progressive Growing of GANs for Improved Quality, Stability, and Variation

  6. 2018-09-22-progan-holofaces-topdecile.tar.xz

  7. https://imgur.com/a/GjnZVDp

  8. 2019-02-06-progan-danbooru2017-faces-randomsamples.tar

  9. MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks

  10. MSG-GAN: Multi-Scale Gradients GAN (Architecture Inspired from ProGAN but Doesn’t Use Layer-Wise Growing)

  11. Self-Attention Generative Adversarial Networks

  12. Simple Tensorflow Implementation of "Self-Attention Generative Adversarial Networks" (SAGAN)

  13. Akanazawa/vgan: Code for Image Generation of Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow

  14. Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow [Homepage]

  15. Akanimax/Variational_Discriminator_Bottleneck: Implementation (With Some Experimentation) of the Paper Titled ‘Variational Discriminator Bottleneck’

  16. Large Scale GAN Training for High Fidelity Natural Image Synthesis

  17. BigGAN-PyTorch: The Author’s Officially Unofficial PyTorch BigGAN Implementation

  18. Simple Tensorflow Implementation of "Large Scale GAN Training for High Fidelity Natural Image Synthesis" (BigGAN)

  19. Pytorch Implementation of ‘Large Scale GAN Training For High Fidelity Natural Image Synthesis’ (BigGAN)

  20. GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint

  21. GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint

  22. Wasserstein GAN

  23. Martinarjovsky/WassersteinGAN

  24. Glow: Better Reversible Generative Models

  25. Glow: Generative Flow with Invertible 1×1 Convolutions

  26. Code for Reproducing Results ‘Glow: Generative Flow With Invertible 1×1 Convolutions’

  27. IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis

  28. IntroVAE: A PyTorch Implementation of Paper ‘IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis’

  29. ​ Anime Crop Datasets: Faces, Figures, & Hands § Danbooru2019 Portraits