Pytorch pipeline for 3D image domain translation using Cycle-Generative-Adversarial-networks, without paired examples.
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Updated
Jun 6, 2021 - Python
Pytorch pipeline for 3D image domain translation using Cycle-Generative-Adversarial-networks, without paired examples.
A clean and lucid implementation of cycleGAN using PyTorch
Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"
Implementation of CycleGAN for Text style transfer with PyTorch.
🌱 SNE-RoadSeg in PyTorch, ECCV 2020 by Rui (Ranger) Fan & Hengli Wang, but now we have improved it.
Pytorch implementation of Self Attentive Adversarial Stain Normalization (SAASN).
Bald-to-Hairy Translation Using CycleGAN
An easy-to-modify and easy-to-follow re-implementation of CycleGAN (cycle-consistent generative adversarial network) in PyTorch
This is a PyTorch implementation of Cycle GAN from Scratch.
Using CycleGAN to swap Pokemon types
Implementation of MultiStain-CycleGAN
Segmentation of fashion articles from human images
Implemented basic deep learning models using PyTorch
Unofficial Pytorch implementation of CycleGAN for MNIST, USPS, SVHN, MNIST-M, and SyntheticDigits datasets.
TNNLS 2024 submission. VerDisGAN and HorDisGAN which control the variation degrees for generated samples
This project implements a CycleGAN-based method for image dehazing on a paired dataset containing hazy images and their corresponding ground truth clear images.
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