PyTorch implementation of Image-to-Image Translation with Conditional Adversarial Nets (pix2pix)
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Updated
Sep 6, 2017 - Python
PyTorch implementation of Image-to-Image Translation with Conditional Adversarial Nets (pix2pix)
Tensorflow implementation of StarGAN. Feature translation between images using Generative Adversarial Networks (GANs). It allows to modify a physical characteristic such as the hair color.
Implementation of Unsupervised Image-to-Image Translation Networks paper
Source code of the "Biomedical Image Segmentation using Generative Adversarial Networks" bachelor thesis by Michael Aerni and Patrick Del Conte.
Chainer implementation of pix2pixHD
Image to Image translation using MXNet and GAN
Simple Tensorflow implementation of StarGAN (CVPR 2018 Oral)
A Python implementation of a GAN in Tensorflow to be used as part of an investigation into how image enhancements could be removed using deep learning.
Im2Flow: Motion Hallucination from Static Images for Action Recognition (CVPR 2018)
The simplest implementation toward the idea of Re-cycle GAN
[ECCV 2018]: T2Net: Synthetic-to-Realistic Translation for Depth Estimation Tasks
A group research in associate with Abhijeet Chauhan and Fan Mo from the University of Carleton.
Reimplementation of papers on DCGAN and CycleGAN.
Multimodal edges to image translation
An implementation of the the paper "Image-to-Image Translation with Conditional Adversarial Networks" by Isola et al.
Image-to-Image translation using GAN. (Images of humans and turning them into pokémon.) Student project in ICT Seminar 2 (IKT441) at University of Agder. Based on junyanz github repository: https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix.
Automatic generation of pencil drawings from photos
👦<->👨<->👩<->👵, A collection of attribute editing papers. (Feel free to submit PR)
Easy to use general purpose implementation of pix2pix model in tensorflow to train for image to image translation
Face Generation using Generative Adversarial Networks
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