PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)
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Updated
May 27, 2017 - Python
PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)
final project CycleGAN implementation
Generative Adversarial Networks (GANs) for 3D MRI images [for deepBrainHackMTL-2017]
AI-enabled Interior decoration, powered by CycleGANs. Built for @NextTechLabAP's #9Hacks!
Reproducing GAN related papers in Theano
Image-to-image translation in PyTorch with three models
Developing an image editing application to edit images to have a desired attribute using Generative Adversarial Networks(DCGAN and CycleGAN) (https://tandon-a.github.io/Image-Editing-using-GAN/)
CycleGAN with PyTorch
Extending StackGAN - Text to Image synthesis
Voice Conversion using Cycle GAN's For Non-Parallel Data
A group research project in associate with Boming Shi from the University of Ottawa.
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
A delira-compatible cycle-GAN skeleton.
Reproducing PARALLEL-DATA-FREE VOICE CONVERSION USING CYCLE-CONSISTENT ADVERSARIAL NETWORKS (https://arxiv.org/pdf/1711.11293.pdf)
Experimenting Ageing on images using CYCLEGAN
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