“‘Data-Augmented GANs’ Tag”,2020-02-11 (ML dataset; backlinks)⁠:

Bibliography for tag ai/nn/gan/data-augmentation, most recent first: 21 annotations & 3 links (parent).

• See Also
• Links
  • “Idempotent Generative Network”, Shocher et al 2023
  • “A Cookbook of Self-Supervised Learning”, Balestriero et al 2023
  • “Text-Only Training for Image Captioning Using Noise-Injected CLIP”, Nukrai et al 2022
  • “BigVGAN: A Universal Neural Vocoder With Large-Scale Training”, Lee et al 2022
  • “Diffusion-GAN: Training GANs With Diffusion”, Wang et al 2022
  • “InvGAN: Invertable GANs”, Ghosh et al 2021
  • “FuseDream: Training-Free Text-To-Image Generation With Improved CLIP+GAN Space Optimization”, Liu et al 2021
  • “CDM: Cascaded Diffusion Models for High Fidelity Image Generation”, Ho et al 2021
  • “Training GANs With Stronger Augmentations via Contrastive Discriminator (ContraD)”, Jeong & Shin2021
  • “TransGAN: Two Transformers Can Make One Strong GAN”, Jiang et al 2021
  • “Contrastive Representation Learning: A Framework and Review”, Khac et al 2020
  • “Towards Faster and Stabilized GAN Training for High-Fidelity Few-Shot Image Synthesis”, Anonymous2020
  • “Differentiable Augmentation for Data-Efficient GAN Training”, Zhao et al 2020
  • “StyleGAN-2-ADA: Training Generative Adversarial Networks With Limited Data”, Karras et al 2020
  • “On Data Augmentation for GAN Training”, Tran et al 2020
  • “Image Augmentations for GAN Training”, Zhao et al 2020
  • “Anime Crop Datasets: Faces, Figures, & Hands”, Gwern et al 2020
  • “Practical Aspects of StyleGAN-2 Training”, l4rz 2020
  • “A U-Net Based Discriminator for Generative Adversarial Networks”, Schönfeld et al 2020
  • “Improved Consistency Regularization for GANs”, Zhao et al 2020
  • “Improved Consistency Regularization for GANs § 2.1 Balanced Consistency Regularization (bCR)”, Zhao2020 (page 2 org google)
  • Wikipedia
• Miscellaneous
• Bibliography

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