StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
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Updated
Aug 7, 2023 - Python
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
HyperInverter: Improving StyleGAN Inversion via Hypernetwork (CVPR 2022)
Image Synthesis + Corgis = <3
Buckle up, adventure in the styleGAN2-ada-pytorch network latent space awaits
Your own Ilya Kuvshinov. Now almost as real as the real one.
Train a StyleGAN2-ADA model on Colaboratory to generate Steam banners.
Simplified pytorch lightning port of StyleGAN2-ADA
Guohua: Traditional Chinese painting, Landscape painting flower & bird painting
Your own Ilya Kuvshinov
Official Implementation for "StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain Adaptation" (ICCV 2023)
🌌The Jupyter Notebook behind ThisNightSkyDoesNotExist - Train a StyleGan2-ADA on a custom image dataset scrapped from Instagram!
Experimental repository attempting to project facial landmarks into the StyleGAN2 latent space.
StyleGAN2-ADA trained on a dataset of 2000+ sneaker images
Towards Fine-grained Image Classification with Generative Adversarial Networks and Facial Landmark Detection - Paper Implementation and Supplementary Materials
Wisketchy Dobrov's collection of pretrained StyleGAN2-ada-pytorch compatible networks
ncnn implementation of StyleGAN2ADA and StyleGAN3.
Train a StyleGAN2-ADA (PyTorch) model on Colab to generate Steam banners.
An easy gift idea for Secret Santa using StyleGAN
Fine-tune StyleGAN2 on your custom data!
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