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

Using pix2pix and SinGAN to get into the movie

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

Using SinGAN Style Transfer for creating computer vision input data

Synthetic Dataset Generation - GANS

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)

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

🎮 Enhance your League of Legends experience with LeeSin, a cross-platform assistant that automates key game functions using the official LCU API.

Building an app demo by Streamlit on SinGAN

New Transformer network-based GAN for video generation.

Implemented basic deep learning models using PyTorch

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

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

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.