Using SinGAN Style Transfer for creating computer vision input data

Flux.jl implementation of (part of) "SinGAN: Learning a Generative Model from a Single Natural Image"

pytorch implementation

Using pix2pix and SinGAN to get into the movie

Multi-scale style transfer with a pyramid of fully convolutional GANs inspired from "SinGAN: Learning a Generative Model from a Single Natural Image" (ICCV 2019)

Students Project at the Technion for generating natural looking images from a single image, using deep features of VGG19 and a hierarchical architecture based on SinGAN

Inofficial implementation of the paper "SinGAN: Learning a Generative Model from a Single Natural Image"

New Transformer network-based GAN for video generation.

Reimplementing the paper "SinGAN: Learning a Generative Model from a Single Natural Image"

Code for the final project of MVA course "Object Recognition and Computer Vision". Application of SinGAN to style transfer

Building an app demo by Streamlit on SinGAN

Implemented basic deep learning models using PyTorch

GUI for TOAD-GAN, a PCG-ML algorithm for Token-based Super Mario Bros. Levels.

"SinGAN : Learning a Generative Model from a Single Natural Image" in TensorFlow 2

Repository for implementation of generative models with Tensorflow 1.x

Official repository for "TOAD-GAN: Coherent Style Level Generation from a Single Example" by Maren Awiszus, Frederik Schubert and Bodo Rosenhahn.

Pytorch implementation of "SinGAN: Learning a Generative Model from a Single Natural Image"

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"