Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

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

TensorFlow implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

Implementation of web friendly ML models using TensorFlow.js. pix2pix, face segmentation, fast style transfer and many more ...

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

Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN

An implementation of Pix2Pix in Tensorflow for use with frames from films

A lightweight pix2pix Tensorflow implementation.

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

🏠 Generate floor plans using pix2pix and Tensorflow

pix2pix in tensorflow.js

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

pix2pix in tensorflow.js

: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.

Image to Image Translation using Conditional GANs (Pix2Pix) implemented using Tensorflow 2.0

pix2pix implementation using Swift for TensorFlow

Mono depth estimation for self-driving cars 🚗

No description available

image to images translation - Multi task pix2pix

A minimal tensorflow implementation of pix2pix (Image-to-Image Translation with Conditional Adversarial Nets - https://phillipi.github.io/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.

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

Pix2pix primary architecture based solely on tensorflow

This is a pix2pixHD Tensorflow implementation which is used by many projects in recent days

Tensorflow implementation of pix2pix for creating music from a voice. Vocals2Song.

A Flutter plugin for accessing TensorFlow Lite API. Supports image classification, object detection (SSD and YOLO), Pix2Pix and Deeplab and PoseNet on both iOS and Android.

Tensorflow implementation of pix2pix(cGAN) for audio source separation

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