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
Using CycleGAN to translate the style of one MRI image to another
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
Implements a Cycle GAN based on original paper https://arxiv.org/abs/1703.10593.
Image to image translation using CycleGAN for transforming photographs into Monet style paintings
CycleGAN with PyTorch
Object Detection in Twilight
A group research project in associate with Boming Shi from the University of Ottawa.
Experimenting Ageing on images using CYCLEGAN
Telegram Style Transfer Bot
Probability distribution learning with GANs - DCGAN, CycleGAN
A method for steganography using a modified cycle GANs that's trained on texture dataset and analysed by steganalysis tool.
Reproducing GAN related papers in Theano
Advanced Study of VAEs and GANs using a Colored MNIST Dataset.
A (clean) PyTorch implementation of CycleGAN on Horse2zebra dataset
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