singan

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

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

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

Repository for implementation of generative models with Tensorflow 1.x

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

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

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

Synthetic Dataset Generation - GANS

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

New Transformer network-based GAN for video generation.

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

pytorch implementation

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

Implemented basic deep learning models using PyTorch

Building an app demo by Streamlit on SinGAN

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)

Using SinGAN Style Transfer for creating computer vision input data