There are 3 repositories under pix2pix-tensorflow topic.
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
:bust_in_silhouette: 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.
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 diagnosis. This study analyzed the feasibility of using a conditional generative adversarial network (cGAN) called pix2pix to learn the mapping from low dose to high dose CT images under different conditions. This study included 270 three-dimensional (3D) CT scan images (85,050 slices) from 90 unique patients imaged virtually using virtual imaging trials platform for model development and testing. Performance was reported as peak signal-to-noise ra- tio (PSNR) and structural similarity index measure (SSIM). Experimental results demonstrated that mapping a single low-dose CT to high-dose CT and weighted two low-dose CTs to high-dose CT have comparable performances using pix2pix CGAN and applicability of using VITs
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 Tensorflow 2.x implementation of Pix2pix GAN.https://arxiv.org/abs/1611.07004
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
The GAN Book: Train stable Generative Adversarial Networks using TensorFlow2, Keras and Python.
Source code and pretrained models for pix2pix - Inference on image and paint using pyqt5
Open-source tool for removing stars from deep sky images.
Easy to use general purpose implementation of pix2pix model in tensorflow to train for image to image translation
Generation missing MRI using GANs - master thesis from Politechnic of Milan
Pix2Pix and CycleGAN generative adversarial networks (GANs) to convert thermal to visible images using TensorFlow
A cross platform App built in Flutter that generates Real-life/reality images from sketches
Tensorflow keras GAN
🎮 Remove focus from an image using IA - Pix2Pix
A generative model that could generate colored face images from grayscale face images.
filtering different types of noises from images using pix2pix
Study and Try Pix2Pix (cGAN Loss, L1 Loss, Unet, Patch GAN, PSNR) with KITTI dataset for Denoising and Super-Resolution
A tensorflow implementation of Image-to-Image Translation with Conditional Adversarial Nets(pix2pix)
Software that can generate a photo of an animal based on its skeleton and a photo of an animal's skeleton based on its animal
An Ai that solve mazes with the model pix2pix
Generating cat images from sketches using a conditional generative adversarial network (pix2pix) in TensorFlow
An experiment on pix2pix GAN