1327 Open source projects that are alternatives of or similar to Image To Image Papers

TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

Collection of generative models in Pytorch version.

DCGAN image generator 🖼️.

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

Multimodal Unsupervised Image-to-Image Translation

ArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.

GANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)

On the "steerability" of generative adversarial networks

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

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Conversational AI Reading Materials

All latest image/burst/video Denoising papers with code & citation published in top conference and journal.

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥

my own deep learning mastery roadmap

Tensorflow implementation of the NIPS paper "Toward Multimodal Image-to-Image Translation"

Guided Image-to-Image Translation Papers

PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].

InstaGAN: Instance-aware Image Translation (ICLR 2019)

Pytorch implementation of Image Manipulation with Perceptual Discriminators paper

A modern PyTorch implementation of SRGAN

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

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

Pytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

TriangleGAN, ACM MM 2019.

Showcasing various fun adventures with GANs

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

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

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

A DCGAN to generate anime faces using custom mined dataset

Awesome Generative Adversarial Networks with tensorflow

Invert the color of MNIST images with PyTorch

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

Applied Deep Learning (2019 Spring) @ NTU

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

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

A curated list of papers, theses, datasets, and tools related to the application of Machine Learning for Software Engineering

Create Anime Characters with MakeGirlsMoe

The Simplest DCGAN Implementation

GAN Playground - Experiment with Generative Adversarial Nets in your browser. An introduction to GANs.

[CVPR2020] Adversarial Latent Autoencoders

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

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

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

This repository contains a new generative model of chatbot based on seq2seq modeling.

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

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

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

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

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

SEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)

Solve captcha without manually labeling a training set

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

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

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

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

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

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

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

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