stylegan2-ada

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.

Pytorch implementation of StyleGAN2ADA

Simplified pytorch lightning port of StyleGAN2-ADA

Train a StyleGAN2-ADA model on Colaboratory to generate Steam banners.

Guohua: Traditional Chinese painting, Landscape painting flower & bird painting

Official Implementation for "StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain Adaptation" (ICCV 2023)

Your own Ilya Kuvshinov

🌌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

This is my code for StlyeGAN2-ADA-PyTorch for gray images.

Wisketchy Dobrov's collection of pretrained StyleGAN2-ada-pytorch compatible networks

Train a StyleGAN2-ADA (PyTorch) model on Colab to generate Steam banners.

StyleGAN2-Art is essentially a StyleGAN2-ADA model (latest) that generates abstract images which are then synced with audio to create a cool trippy music video.

ncnn implementation of StyleGAN2ADA and StyleGAN3.