Translating Real Images to cartoon images using PIX2PIX - Image-to-Image Translation with Conditional Adversarial Networks

PoP ArT

Chinese Landscape Painting style transfer by adversarial network（中国山水画风格化）

Minimalist Pix2Pix implementation in pytorch

Implemented a pix2pix GAN to enhance the underwater visual data.

Using Pix2Pix GAN for translating Anime images to something more aesthetic

converting the sketch face image into real picture

Research project aiming to collect a dataset of paired fog images and apply the pix2pix model to it, conducted at the University of Utah

PyTorch implementation of various GAN architectures.

An implementation of GANs on chest X-ray Images to obtain Dual Energy X-ray images from Single Energy X-ray images

Pix2Pix Implementation for Facade Dataset

Cardiac Fats Segmentation Using a Conditional Generative Adversarial Network

Colorization of Image with Generative Adversarial Network (Pix2Pix).

Pytorch Implementation of Pix2PixGAN

Implemented basic deep learning models using PyTorch

A PyTorch implementation of Pix2PixHD to generate 1024x1024 HD images of Celebrities using sketches.

An Ai that solve mazes with the model pix2pix

This repository contains coursework and projects from the DeepLearning.AI GANs Specialization, covering topics like building GANs, advanced architectures (DCGANs, WGANs, StyleGANs), and applications in data augmentation and image-to-image translation.

Create Pix2Pix quick!, The Pix2Pix GAN is a general approach for image-to-image translation. It is based on the conditional generative adversarial network, where a target image is generated, conditional on a given input image. In this case, the Pix2Pix...