398 Open source projects that are alternatives of or similar to Non Stationary_texture_syn

Introduction to Generative Adversarial Networks

Chainer implementation of the Wesserstein GAN

This is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (CVPR 2021) in PyTorch.

Keras implementation of 3D Generative Adversarial Network.

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

Pytorch implementation of CVPR2021 paper "MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation"

[CVPR2020] Adversarial Latent Autoencoders

ECE 535 - Course Project, Deep Learning Framework

Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset

simple Generative Adversarial Networks base on matlab

Image Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018

Generate text boxes from input words with a GAN.

A deep learning library to provide algs in pure Numpy or Tensorflow.

Applied Deep Learning (2019 Spring) @ NTU

HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

A summary of interesting Machine Learning (mostly Deep Learning) papers that I encounter.

DeepNude with DreamNet improvements.

Generate Cartoon Images using Generative Adversarial Network

Regularizing Generative Adversarial Networks under Limited Data (CVPR 2021)

The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

🖼 A collection of high-quality anime faces.

Generative Adversarial Network that learns to generate handwritten digits. (Learning Purposes)

EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)

Face generator from sketches using cGAN (pix2pix) model

Official Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]

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

An extremely simple generative adversarial network, built with TensorFlow

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Pytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"

DCGAN Implementation using PyTorch in both C++ and Python

Invert the color of MNIST images with PyTorch

Synthetic structured data generators

Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis

A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation

InfoGAN inspired neural network trained on zap50k images (using Tensorflow + tf-slim). Intermediate layers of the discriminator network are used to do image similarity.

pytorch 包教不包会

Slimmable Generative Adversarial Networks (AAAI 2021)

Unofficial implementation of "Crowd Counting via Adversarial Cross-Scale Consistency Pursuit" with pytorch - CVPR 2018

Whitening and Coloring transform for GANs

PyTorch implementation of "Improved Techniques for Training Single-Image GANs" (WACV-21)

Pytorch implementations of most popular image-translation GANs, including Pixel2Pixel, CycleGAN and StarGAN.

[ACCV 2018 Oral] Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

A simple library that implements CLIP guided loss in PyTorch.

Code for the paper "Adversarial Generator-Encoder Networks"

Codes for paper in KDD 2020 (AI for COVID-19): Learning to Simulate Human Mobility

Study Friendly Implementation of DCGAN in Tensorflow

Train a StyleGAN2 model on Colaboratory to generate Steam banners.

Create Anime Characters with MakeGirlsMoe

Use keras.js and cyclegan-keras to colorize manga automatically. All computation in browser. Demo is online:

基于keras使用dcgan自动生成动漫头像

Generative Adversarial Network for single image super-resolution in high content screening microscopy images

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

VapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)

ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro

A modern PyTorch implementation of SRGAN

The Simplest DCGAN Implementation

Generate human faces with neural networks

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.