#计算机科学#StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
翻译 - StudioGAN是一个Pytorch库，为有条件/无条件图像生成提供了代表性的生成对抗网络（GAN）的实现。
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
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
#计算机科学#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.