| https://stylegan-nada.github.io/ |
|
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators |
| https://nivha.github.io/vgpnn/ |
|
VGPNN: Diverse Generation from a Single Video Made Possible |
| https://rameenabdal.github.io/StyleFlow/ |
|
StyleFlow | StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows (ACM TOG 2021) |
| https://github.com/RameenAbdal/StyleFlow |
|
RameenAbdal/StyleFlow: StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows (ACM TOG 2021) |
| https://www.youtube.com/watch?v=jl0XCslxwB0 |
|
NVIDIA’s GANCraft AI: Feels Like Magic! 🌴 …Also, 1 Million Subs! 🥳 - YouTube |
| https://nvlabs.github.io/stylegan3/ |
|
Alias-Free Generative Adversarial Networks (StyleGAN3) |
| https://www.casualganpapers.com/ |
|
Casual GAN Papers: Easy to read summaries of popular AI papers |
| https://github.com/xinntao/Real-ESRGAN |
|
xinntao/Real-ESRGAN: Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration. |
| https://yvanscher.com/writing/monster_gans |
|
Monster GANS - yvan scher |
| https://ai.googleblog.com/2020/11/using-gans-to-create-fantastical.html |
|
Google AI Blog: Using GANs to Create Fantastical Creatures |
