Unpaired Image-to-Image Translation using Cycle-consistent Adversarial Networks
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Updated
Dec 19, 2019 - Jupyter Notebook
Unpaired Image-to-Image Translation using Cycle-consistent Adversarial Networks
Source code of the "Biomedical Image Segmentation using Generative Adversarial Networks" bachelor thesis by Michael Aerni and Patrick Del Conte.
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
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
Transformation of images using cycle_gan.
CycleGAN Model in PyTorch for translating animal image to other domain irrespective of the pairing between two images.
This is a pytorch implementation of models based on BicycleGAN and Soft-Intro VAE on Image to Image Translation
GANs used for translating images of faces to preserve the privacy of individuals.
Qartezator is an aerial image-to-map translator
A (clean) PyTorch implementation of CycleGAN on Horse2zebra dataset
Models for image2image tasks. PyTorch.
Image to image translation using CycleGAN for transforming photographs into Monet style paintings
PyTorch implementation of paired img-to-img translation via SDE.
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