pix2pix demo that learns from facial landmarks and translates this into a face

Source code and pretrained model for running pix2pix in realtime on a webcam feed.

Real-time Facial Expression Transfer --> facial expression capture and reenactment via webcam

A tensorflow model for segmentation of fashion items out of multiple product images

👤 Cutting people out automatically using Image translation's architecture Pix2Pix

This project uses a conditional generative adversarial network (cGAN) named Pix2Pix for the Image to image translation task.

Mono depth estimation for self-driving cars 🚗

image to images translation - Multi task pix2pix

pose2pose, everybody dance now python implementation

In this project, we will apply the CGAN approach for ground truth segmentation operation of satellite images with OpenCV and Tensorflow.

pix2pix-tensorflow

Computed tomography (CT) is one of the most widely used radiography exams worldwide for different diagnostic applications. However, CT scans involve ioniz- ing radiational exposure, which raises health concerns. Counter-intuitively, low- ering the adequate CT dose level introduces noise and reduces the image quality, which may impact clinical di…

The GAN Book: Train stable Generative Adversarial Networks using TensorFlow2, Keras and Python.

A Tensorflow 2.x implementation of Pix2pix GAN.https://arxiv.org/abs/1611.07004

Generative adversarial network is used to train neural network model to create real image from drawing. Pix2pix tensor flow code is refereed and paint tool is created to interpret trained model results

A free and open source tool for star removal in astronomy images. A GAN model implemented in tensorflow and trained to remove stars from astronomical images

Implementation of the Pix2Pix GAN in Tensorflow/Keras

Source code and pretrained models for pix2pix - Inference on image and paint using pyqt5

A cross platform App built in Flutter that generates Real-life/reality images from sketches

Tensorflow implementation of Image-to-Image Translation with Conditional Adversarial Networks