Reimplementation of papers on DCGAN and CycleGAN.
-
Updated
Mar 24, 2019 - Jupyter Notebook
Reimplementation of papers on DCGAN and CycleGAN.
This is a project for developing and evaluating models that do translation from B&W to colored images using machine learning and deep learning
Unpaired Image-to-Image Translation using Cycle-consistent Adversarial Networks
Unpaired Image to Image Translation Using Cycle GANs in Tensorflow 2.0
Source code of the "Biomedical Image Segmentation using Generative Adversarial Networks" bachelor thesis by Michael Aerni and Patrick Del Conte.
U-GAT-IT implementation with GHIBLI dataset and GAN architecture analysis
A deep learning model that does image to image translation to create a glitched image
Progetto universitario per l'esame di COGNITIVE COMPUTING AND ARTIFICIAL INTELLIGENCE
Image to image translation using CycleGAN for transforming photographs into Monet style paintings
PyTorch implementation of paired img-to-img translation via SDE.
Code for the text point cloud group assignment (part of the Deep Neural Engineering AI course)
Models for image2image tasks. PyTorch.
Implementation of Cycle-consistent Generative Adversarial Networks for Image-to-Image Translation in Keras
Финальный проект в рамках курса Deep Learning School по Computer Vision.
A class-based styling approach for Real-time Domain Adaptation in Semantic Segmentation
GANs used for translating images of faces to preserve the privacy of individuals.
Qartezator is an aerial image-to-map translator
Add a description, image, and links to the image-to-image-translation topic page so that developers can more easily learn about it.
To associate your repository with the image-to-image-translation topic, visit your repo's landing page and select "manage topics."