GAN
Image-to-Image Translation in PyTorch
StyleGAN - Official TensorFlow Implementation
[CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
A pytorch implementation of Paper "Improved Training of Wasserstein GANs"
Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)
Code for Line Drawings for Face Portraits from Photos using Global and Local Structure based GANs (TPAMI)
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
Here is a series of face generators based on StyleGAN2
Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"
LPIPS metric. pip install lpips
Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.
Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch
Fine-tuning StyleGAN2 for Cartoon Face Generation
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”
Projecting images to latent space with StyleGAN2.