StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
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Updated
Aug 9, 2024 - 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.
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
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.
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
This is my code for StlyeGAN2-ADA-PyTorch for gray images.
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.
Train a StyleGAN2-ADA (PyTorch) model on Colab to generate Steam banners.
ncnn implementation of StyleGAN2ADA and StyleGAN3.
Fine-tune StyleGAN2 on your custom data!
An easy gift idea for Secret Santa using StyleGAN
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