962 Open source projects that are alternatives of or similar to A Pytorch Tutorial To Super Resolution

The Simplest DCGAN Implementation

PyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)

Official repository of JSI-GAN (Accepted at AAAI 2020).

Bringing Old Photo Back to Life (CVPR 2020 oral)

Generative Adversarial Networks in Keras

pytorch 包教不包会

Interactive Image Generation via Generative Adversarial Networks

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

Official PyTorch implementation of GDWCT (CVPR 2019, oral)

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

OpenMMLab Image and Video Editing Toolbox

[CVPR2020] Adversarial Latent Autoencoders

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

T2F: text to face generation using Deep Learning

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

由淺入深的深度學習資源 Collection of deep learning materials for everyone

Synthesizing and manipulating 2048x1024 images with conditional GANs

Awesome Generative Adversarial Networks with tensorflow

A list of all named GANs!

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

An AI for Music Generation

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

Page to PAGE Layout Analysis Tool

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

The implementation of Relativistic average GAN with Keras

[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

Composable GAN framework with api and user interface

An implementation of CycleGan using TensorFlow

Image-to-image translation with conditional adversarial nets

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

Voice Conversion using Cycle GAN's For Non-Parallel Data

Toward Multimodal Image-to-Image Translation

Discovering Interpretable GAN Controls [NeurIPS 2020]

Using Machine Learning to predict the type of exercise from movement data

Compute FID scores with PyTorch.

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

Awesome Resources for Advanced Computer Vision Topics

Privacy-preserving generative deep neural networks support clinical data sharing

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.

SpecGAN - generate audio with adversarial training

A very simple generative adversarial network (GAN) in PyTorch

Projecting images to latent space with StyleGAN2.

🔥3D-RecGAN++ in Tensorflow (TPAMI 2018)