- See Also
-
Links
- “BigVGAN: A Universal Neural Vocoder With Large-Scale Training”, Et Al 2022
- “Diffusion-GAN: Training GANs With Diffusion”, Et Al 2022
- “InvGAN: Invertable GANs”, Et Al 2021
- “FuseDream: Training-Free Text-to-Image Generation With Improved CLIP+GAN Space Optimization”, Et Al 2021
- “CDM: Cascaded Diffusion Models for High Fidelity Image Generation”, Et Al 2021
- “Training GANs With Stronger Augmentations via Contrastive Discriminator (ContraD)”, 2021
- “TransGAN: Two Transformers Can Make One Strong GAN”, Et Al 2021
- “Contrastive Representation Learning: A Framework and Review”, Le- Et Al 2020
- “Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis”, 2020
- “Differentiable Augmentation for Data-Efficient GAN Training”, Et Al 2020
- “StyleGAN2-ADA: Training Generative Adversarial Networks With Limited Data”, Et Al 2020
- “On Data Augmentation for GAN Training”, Et Al 2020
- “Image Augmentations for GAN Training”, Et Al 2020
- “Anime Crop Datasets: Faces, Figures, & Hands”, Et Al 2020
- “Practical Aspects of StyleGAN2 Training”, L4rz 2020
- “A U-Net Based Discriminator for Generative Adversarial Networks”, Et Al 2020
- “Improved Consistency Regularization for GANs”, Et Al 2020
- “Improved Consistency Regularization for GANs § 2.1 Balanced Consistency Regularization (bCR)”, Zhao & Al 2020 (page 2 Org Google)
- Wikipedia
- Miscellaneous
- Link Bibliography
See Also
Links
“BigVGAN: A Universal Neural Vocoder With Large-Scale Training”, Et Al 2022
“BigVGAN: A Universal Neural Vocoder with Large-Scale Training”, 2022-06-09 (; similar; bibliography)
“Diffusion-GAN: Training GANs With Diffusion”, Et Al 2022
“Diffusion-GAN: Training GANs with Diffusion”, 2022-06-05 (; similar)
“InvGAN: Invertable GANs”, Et Al 2021
“InvGAN: Invertable GANs”, 2021-12-08 (similar)
“FuseDream: Training-Free Text-to-Image Generation With Improved CLIP+GAN Space Optimization”, Et Al 2021
“FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization”, 2021-12-02 (; similar; bibliography)
“CDM: Cascaded Diffusion Models for High Fidelity Image Generation”, Et Al 2021
“CDM: Cascaded Diffusion Models for High Fidelity Image Generation”, 2021-06-09 (; similar; bibliography)
“Training GANs With Stronger Augmentations via Contrastive Discriminator (ContraD)”, 2021
“Training GANs with Stronger Augmentations via Contrastive Discriminator (ContraD)”, 2021-03-17 (backlinks; similar)
“TransGAN: Two Transformers Can Make One Strong GAN”, Et Al 2021
“TransGAN: Two Transformers Can Make One Strong GAN”, 2021-02-14 (; similar; bibliography)
“Contrastive Representation Learning: A Framework and Review”, Le- Et Al 2020
“Contrastive Representation Learning: A Framework and Review”, 2020-10-10 (backlinks; similar)
“Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis”, 2020
“Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis”, 2020-09-28 (; similar)
“Differentiable Augmentation for Data-Efficient GAN Training”, Et Al 2020
“Differentiable Augmentation for Data-Efficient GAN Training”, 2020-06-18 (; backlinks; similar; bibliography)
“StyleGAN2-ADA: Training Generative Adversarial Networks With Limited Data”, Et Al 2020
“StyleGAN2-ADA: Training Generative Adversarial Networks with Limited Data”, 2020-06-11 (; similar)
“On Data Augmentation for GAN Training”, Et Al 2020
“On Data Augmentation for GAN Training”, 2020-06-09 (; backlinks; similar)
“Image Augmentations for GAN Training”, Et Al 2020
“Image Augmentations for GAN Training”, 2020-06-04 (; similar)
“Anime Crop Datasets: Faces, Figures, & Hands”, Et Al 2020
“Anime Crop Datasets: Faces, Figures, & Hands”, 2020-05-10 (; backlinks; bibliography)
“Practical Aspects of StyleGAN2 Training”, L4rz 2020
“Practical aspects of StyleGAN2 training”, 2020-04-28 (; backlinks; similar)
“A U-Net Based Discriminator for Generative Adversarial Networks”, Et Al 2020
“A U-Net Based Discriminator for Generative Adversarial Networks”, 2020-02-28 (; backlinks; similar; bibliography)
“Improved Consistency Regularization for GANs”, Et Al 2020
“Improved Consistency Regularization for GANs”, 2020-02-11 (; similar; bibliography)
“Improved Consistency Regularization for GANs § 2.1 Balanced Consistency Regularization (bCR)”, Zhao & Al 2020 (page 2 Org Google)
Wikipedia
Miscellaneous
Link Bibliography
-
https://arxiv.org/abs/2206.04658#nvidia: “BigVGAN: A Universal Neural Vocoder With Large-Scale Training”, Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon: -
https://arxiv.org/abs/2112.01573: “FuseDream: Training-Free Text-to-Image Generation With Improved CLIP+GAN Space Optimization”, Xingchao Liu, Chengyue Gong, Lemeng Wu, Shujian Zhang, Hao Su, Qiang Liu: -
https://cascaded-diffusion.github.io/: “CDM: Cascaded Diffusion Models for High Fidelity Image Generation”, Jonathan Ho, Chitwan Saharia, William Chan, David J. Fleet, Mohammad Norouzi, Tim Salimans: -
https://arxiv.org/abs/2102.07074: “TransGAN: Two Transformers Can Make One Strong GAN”, Yifan Jiang, Shiyu Chang, Zhangyang Wang: -
https://arxiv.org/abs/2006.10738: “Differentiable Augmentation for Data-Efficient GAN Training”, Shengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu, Song Han: -
crop: “Anime Crop Datasets: Faces, Figures, & Hands”, Gwern Branwen, Arfafax, Shawn Presser, Anonymous, Danbooru Community: -
https://arxiv.org/abs/2002.12655: “A U-Net Based Discriminator for Generative Adversarial Networks”, Edgar Schönfeld, Bernt Schiele, Anna Khoreva: -
https://arxiv.org/abs/2002.04724: “Improved Consistency Regularization for GANs”, Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang: