Conditional Generative Adversarial Networks (txt2img using conditional DCGAN).
-
Updated
Jul 16, 2018 - Python
Conditional Generative Adversarial Networks (txt2img using conditional DCGAN).
[NAACL 2022] Embedding Hallucination for Few-shot Language Learning
Estimating brain activity for a stimulus as measured by fMRI using a volumetric conditional Generative Adversarial Network (GAN) model.
An attempt to convert Cartoon Sketches into Images using GAN
It uses Conditional GAN(Generative adversarial networks) to convert a front face image into a more primitive representation of the face.
Logistic regression, deep learning, YOLO, Recursive Neural Networks, GAN and Conditional GAN
Conditional Generation of MNIST images using conditional GAN in PyTorch 1.6.
CS565600
PyTorch implementation of Conditional Generative Adversarial Networks (cGAN) for image colorization of the MS COCO dataset
StarGAN model written in PyTorch
Image to Image translation using conditional GANs with Wasserstein loss and gradient penalty
A Conditional Deep Convolutional Generative Adversarial Network implemented in PyTorch, trained on the Fashion MNIST dataset.
Conditional Pokemon sprite generator - specify type(s), output your own unique pokemon!
In this project I tried to replicate tensorflow pix to pix model on different dataset.
Tensorflow implementation of Conditional GAN trained on MNIST dataset
Tensorflow-based implementation of conditional GAN for letters and numbers
Add a description, image, and links to the conditional-gan topic page so that developers can more easily learn about it.
To associate your repository with the conditional-gan topic, visit your repo's landing page and select "manage topics."