Image-to-image translation in PyTorch with three models
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Updated
May 9, 2018 - Python
Image-to-image translation in PyTorch with three models
final project CycleGAN implementation
Deep Learning Introduction
Using CycleGAN to translate the style of one MRI image to another
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
We will visualize the style transfer output produced by monet_generator_model. We take 5 sample images that are photos of beautiful landscapes in the original dataset and feed them to the model.
Creating a style transfer model for images using the Cycle Gan generative network
Model that generates Monet paintings from Images
Implements a Cycle GAN based on original paper https://arxiv.org/abs/1703.10593.
A tensorflow2 implementation of CycleGAN.
CycleGAN with PyTorch
This is a PyTorch implementation of Cycle GAN from Scratch.
Extending StackGAN - Text to Image synthesis
A group research project in associate with Boming Shi from the University of Ottawa.
Experimenting Ageing on images using CYCLEGAN
Cycle-Consistent Adversarial Networks (CycleGAN) using Tensorflow 2.0
Telegram Style Transfer Bot
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