Bibliography:

1. ​ ‘GAN’ tag

2. ​ Idempotent Generative Network

3. ​ A Cookbook of Self-Supervised Learning

4. ​ Text-Only Training for Image Captioning using Noise-Injected CLIP

5. ​ BigVGAN: A Universal Neural Vocoder with Large-Scale Training

6. ​ Diffusion-GAN: Training GANs with Diffusion

7. ​ InvGAN: Invertable GANs

8. ​ FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization

9. ​ CDM: Cascaded Diffusion Models for High Fidelity Image Generation

10. ​ Training GANs with Stronger Augmentations via Contrastive Discriminator (ContraD)

11. ​ TransGAN: Two Transformers Can Make One Strong GAN

12. ​ Contrastive Representation Learning: A Framework and Review

13. ​ Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis

14. ​ Differentiable Augmentation for Data-Efficient GAN Training

15. ​ StyleGAN2-ADA: Training Generative Adversarial Networks with Limited Data

16. ​ On Data Augmentation for GAN Training

17. ​ Image Augmentations for GAN Training

18. ​ Anime Crop Datasets: Faces, Figures, & Hands

19. ​ Practical aspects of StyleGAN2 training

20. ​ A U-Net Based Discriminator for Generative Adversarial Networks

21. ​ Improved Consistency Regularization for GANs

22. ​ Improved Consistency Regularization for GANs § 2.1 Balanced Consistency Regularization (bCR)

23. ​ a7c5151cccdc7da936c9e83a8fcdc850ecd69196.pdf#page=2&org=google

24. ​ 2020-06-04-gwern-danbooru2019-faces-4x4.jpg

25. ​ 2020-l4rz-stylegan2-practicalaspects-toplesswomensamples.jpg

26. ​ https://github.com/tensorfork/tensorfork/issues/35

27. ​ BigVGAN: A Universal Neural Vocoder with Large-Scale Training

28. ​ https%253A%252F%252Farxiv.org%252Fabs%252F2206.04658%2523nvidia.html

29. ​ FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization

30. ​ Welcome to Hao Su's Homepage

31. ​ https%253A%252F%252Farxiv.org%252Fabs%252F2112.01573.html

32. ​ CDM: Cascaded Diffusion Models for High Fidelity Image Generation

33. ​ Jonathan Ho

34. ​ William Chan

35. ​ Tim Salimans

36. ​ https%253A%252F%252Fcascaded-diffusion.github.io%252F.html

37. ​ TransGAN: Two Transformers Can Make One Strong GAN

38. ​ https%253A%252F%252Farxiv.org%252Fabs%252F2102.07074.html

39. ​ Differentiable Augmentation for Data-Efficient GAN Training

40. ​ https%253A%252F%252Farxiv.org%252Fabs%252F2006.10738.html

41. ​ Anime Crop Datasets: Faces, Figures, & Hands

42. ​ Gwern.net Homepage

    [Transclude the forward-link's context]

43. ​ https://x.com/arfafax

44. ​ https://x.com/theshawwn

45. ​ %252Fcrop.html

46. ​ A U-Net Based Discriminator for Generative Adversarial Networks

47. ​ https%253A%252F%252Farxiv.org%252Fabs%252F2002.12655.html

48. ​ Improved Consistency Regularization for GANs

49. ​ Sameer Singh

50. ​ https%253A%252F%252Farxiv.org%252Fabs%252F2002.04724.html

51. Wikipedia Bibliography:

    1. ​ Data Augmentation

    2. ​ Mohammad Norouzi

    3. ​ Bernt Schiele

    4. ​ Han Zhang