Implementation of the Style GAN Architecture in PyTorch
-
Updated
May 30, 2024 - Python
Implementation of the Style GAN Architecture in PyTorch
DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络(GAN,Generative Adversarial Network)图像生成的理论与实践研究。
Converted CoreML Model Zoo.
Tiled Projector and Google Colab for StyleGAN2.
Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction
Author implementation of Exploring Adversarial Fake Images on Face Manifold (CVPR 2021 oral)
Projecting images to latent space with StyleGAN2.
Sem 5 - Minor 1 - Projectno. 36 - JUET, Guna
Creating a dataset of varied celestial objects to get a broader perspective of Universe.
PyTorch implementation of A Style-Based Generator Architecture for Generative Adversarial Network
Official and maintained implementation of the paper "Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy" [MICCAI 2021].
Train a StyleGAN2 model on Colaboratory to generate Steam banners.
Train a StyleGAN model on Colaboratory to generate Steam banners.
edit your image for age, gender, pose, smile or glasses. This repository explains style-gan and how to play around with facial images.
Unofficial Pytorch implementation of Style GAN paper
Add a description, image, and links to the style-gan topic page so that developers can more easily learn about it.
To associate your repository with the style-gan topic, visit your repo's landing page and select "manage topics."