820 Open source projects that are alternatives of or similar to Tagan

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

Generate Cartoon Images using Generative Adversarial Network

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Image-to-Image Translation in PyTorch

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

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

Synthetic Data Generation for tabular, relational and time series data.

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

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

Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875

Toward Multimodal Image-to-Image Translation

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

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

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

SpecGAN - generate audio with adversarial training

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

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

Discovering Interpretable GAN Controls [NeurIPS 2020]

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

Awesome Generative Adversarial Networks with tensorflow

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

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.

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

Privacy-preserving generative deep neural networks support clinical data sharing

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

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

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

Solve captcha without manually labeling a training set

[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.

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

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

T2F: text to face generation using Deep Learning

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

Synthesizing and manipulating 2048x1024 images with conditional GANs

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Compute FID scores with PyTorch.

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

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

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

An application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复，去马赛克，填补，去瑕疵

InstaGAN: Instance-aware Image Translation (ICLR 2019)

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

An AI for Music Generation

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

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

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

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

Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

Generative Adversarial Networks in Keras

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