‘data-augmented GANs’ tag
- See Also
- Gwern
-
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 & Shin 2021
- “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”, Anonymous 2020
- “Differentiable Augmentation for Data-Efficient GAN Training”, Zhao et al 2020
- “StyleGAN2-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
- “Practical Aspects of StyleGAN2 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)”, Zhao 2020 (page 2 org google)
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- Wikipedia
- Miscellaneous
- Bibliography
See Also
Gwern
“Anime Crop Datasets: Faces, Figures, & Hands”, Gwern et al 2020
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
Text-Only Training for Image Captioning using Noise-Injected CLIP
“BigVGAN: A Universal Neural Vocoder With Large-Scale Training”, Lee et al 2022
BigVGAN: A Universal Neural Vocoder with Large-Scale Training
“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
FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization
“CDM: Cascaded Diffusion Models for High Fidelity Image Generation”, Ho et al 2021
CDM: Cascaded Diffusion Models for High Fidelity Image Generation
“Training GANs With Stronger Augmentations via Contrastive Discriminator (ContraD)”, Jeong & Shin 2021
Training GANs with Stronger Augmentations via Contrastive Discriminator (ContraD)
“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”, Anonymous 2020
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
“Differentiable Augmentation for Data-Efficient GAN Training”, Zhao et al 2020
“StyleGAN2-ADA: Training Generative Adversarial Networks With Limited Data”, Karras et al 2020
StyleGAN2-ADA: Training Generative Adversarial Networks with Limited Data
“On Data Augmentation for GAN Training”, Tran et al 2020
“Image Augmentations for GAN Training”, Zhao et al 2020
“Practical Aspects of StyleGAN2 Training”, l4rz 2020
“A U-Net Based Discriminator for Generative Adversarial Networks”, Schönfeld et al 2020
A U-Net Based Discriminator for Generative Adversarial Networks
“Improved Consistency Regularization for GANs”, Zhao et al 2020
“Improved Consistency Regularization for GANs § 2.1 Balanced Consistency Regularization (bCR)”, Zhao 2020 (page 2 org google)
Improved Consistency Regularization for GANs § 2.1 Balanced Consistency Regularization (bCR):
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stylegan-variations contrastive-training improved-discriminators text-image-translation generative-frameworks data-efficient-training
augmentation
gan-augmentation
Wikipedia
Miscellaneous
Bibliography
-
https://arxiv.org/abs/2206.04658#nvidia: “BigVGAN: A Universal Neural Vocoder With Large-Scale Training”, -
https://arxiv.org/abs/2112.01573: “FuseDream: Training-Free Text-To-Image Generation With Improved CLIP+GAN Space Optimization”, -
https://cascaded-diffusion.github.io/: “CDM: Cascaded Diffusion Models for High Fidelity Image Generation”, -
https://arxiv.org/abs/2102.07074: “TransGAN: Two Transformers Can Make One Strong GAN”, -
https://arxiv.org/abs/2006.10738: “Differentiable Augmentation for Data-Efficient GAN Training”, -
https://arxiv.org/abs/2002.12655: “A U-Net Based Discriminator for Generative Adversarial Networks”, -
https://arxiv.org/abs/2002.04724: “Improved Consistency Regularization for GANs”,