Generative_Image_Rotation: Using Pix2Pix cGAN to transform randomly oriented Protoplanetary Disk images into standardized face-on views for astronomical research.

Tora is an image to video model built using the pix2pix GAN architecture.

An implementation of pix2pix GAN to improve Xray image quality

APP For training GAN Models on Architecture Plan

El siguiente proyecto ha sido desarrollado para participar en el reto creado por Dot CSV (https://www.youtube.com/watch?v=BNgAaCK920E)

This project implements a Pix2Pix Conditional GAN that generates realistic images from edge outlines, using object masks from the COCO 2017 dataset. The model learns to translate binary edge maps into colored, high-resolution dog/object images using a U-Net-based generator and a PatchGAN discriminator.

This model, based on a Conditional Generative Adversarial Network (cGAN) architecture, transforms satellite imagery into map-like representations.

Code for T4H Phase 2

Snippets and Utils for Machine and Deep Learning

An implementation of pix2pix in tensorflow v2.3.0 .

Tensorflow implementation of pix2pix for markerless motion capture.

This is cool! I and @michelevece created this fancy project called Susanna or Narciso, it depends. Check it out 🎨

Generating cat images from sketches using a conditional generative adversarial network (pix2pix) in TensorFlow

Pix2Pix Image Colorization Implementation

Proyecto para Redes Neuronales. Utiliza pix2pix para aprender los rasgos faciales y ponerlos en una cara

An experiment on pix2pix GAN

Tensorflow implementation of pix2pix to generate realistic colored images of car from drawing and color (website created by George Chen -- Baidu )