Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
翻译 - 该文件的pytorch官方实现：“ SinGAN：从单个自然图像中学习生成模型”
Pytorch implementation of "SinGAN: Learning a Generative Model from a Single Natural Image"
#计算机科学#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
#计算机科学#GUI for TOAD-GAN, a PCG-ML algorithm for Token-based Super Mario Bros. Levels.
#计算机科学#"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"
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.
Implemented basic deep learning models using PyTorch
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
#计算机科学#Flux.jl implementation of (part of) "SinGAN: Learning a Generative Model from a Single Natural Image"
#计算机科学#Using SinGAN Style Transfer for creating computer vision input data
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)
