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)
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Updated
Sep 25, 2020 - Python
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)
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
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
Reimplementing the paper "SinGAN: Learning a Generative Model from a Single Natural Image"
"SinGAN : Learning a Generative Model from a Single Natural Image" in TensorFlow 2
GUI for TOAD-GAN, a PCG-ML algorithm for Token-based Super Mario Bros. Levels.
Official repository for "TOAD-GAN: Coherent Style Level Generation from a Single Example" by Maren Awiszus, Frederik Schubert and Bodo Rosenhahn.
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
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