pix2pix-tensorflow

There are 55 repositories under pix2pix-tensorflow topic.

  • datitran/face2face-demo

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

    Language:Python1.5k7140416
  • memo/webcam-pix2pix-tensorflow

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

    Language:Python356201068
  • alina1021/facial_expression_transfer

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

    Language:Python945329
  • pubkey/fashion-segmentation

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

    Language:Python42217
  • adriacabeza/Human-Extractor

    :bust_in_silhouette: Cutting people out automatically using Image translation's architecture Pix2Pix

    Language:Jupyter Notebook363010
  • hrithickcodes/pix2pix

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

    Language:Jupyter Notebook31213
  • mono_depth_estimator

    gsurma/mono_depth_estimator

    Mono depth estimation for self-driving cars 🚗

    Language:Jupyter Notebook26209
  • mohaEs/image-to-images-translation

    image to images translation - Multi task pix2pix

    Language:Python24108
  • kartikgill/The-GAN-Book

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

    Language:Jupyter Notebook202011
  • YongWookHa/pose2pose

    pose2pose, everybody dance now python implementation

    Language:Python20218
  • zakariamejdoul/ground-truth-gan-segmentation

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

    Language:Jupyter Notebook19104
  • fitushar/Study-of-Low-dose-to-High-dose-CT-using-Supervised-Learning-with-GAN-and-Virtual-Imaging-Trials

    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

    Language:Python15101
  • yd8534976/conGAN

    pix2pix-tensorflow

    Language:Python13213
  • nishantpatil95/Pix2Pix-tensorflow

    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

    Language:Python12016
  • TanyaChutani/Image-Colorization-Tf2.x

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

    Language:Python12201
  • starreduction

    code2k13/starreduction

    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

    Language:Jupyter Notebook11200
  • kingjosephm/GAN

    Pix2Pix and CycleGAN generative adversarial networks (GANs) to convert thermal to visible images using TensorFlow

    Language:Python10132
  • NahidEbrahimian/paint-pix2pix-tensorflow

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

    Language:Jupyter Notebook910
  • a-martyn/pix2pix

    Implementation of the Pix2Pix GAN in Tensorflow/Keras

    Language:Jupyter Notebook7201
  • code2k13/starrem2k13

    Open-source tool for removing stars from deep sky images.

    Language:Jupyter Notebook7211
  • conan7882/pix2pix

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

    Language:Python620
  • EmanuelAlogna/Brain-MRI-generation-using-GANs

    Generation missing MRI using GANs - master thesis from Politechnic of Milan

    Language:Jupyter Notebook6404
  • nnUyi/pix2pix

    A implement of pix2pix for tensorflow version(Image-to-Image Translation with Conditional Adversarial Nets)

    Language:Python620
  • Shantanu66/RealityConjurer

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

    Language:Dart6100
  • Cartmanishere/pix2pix-tensorflow

    Easy to use general purpose implementation of pix2pix model in tensorflow to train for image to image translation

    Language:Python5000
  • hieuGoku/Pix2Pix-Denoising-and-Super-Resolution

    Study and Try Pix2Pix (cGAN Loss, L1 Loss, Unet, Patch GAN, PSNR) with KITTI dataset for Denoising and Super-Resolution

    Language:Jupyter Notebook5102
  • chansoopark98/Tensorflow-Keras-GAN

    Tensorflow keras GAN

    Language:Python4110
  • Fabian-Martinez-Rincon/Transform-Pokemon-Resolution

    🎮 Remove focus from an image using IA - Pix2Pix

    Language:Jupyter Notebook420
  • fadybaly/denoising-images-using-conditional-dcgans

    filtering different types of noises from images using pix2pix

    Language:Python4312
  • Xu-Justin/Grayscale-Face-Coloring

    A generative model that could generate colored face images from grayscale face images.

    Language:Jupyter Notebook4100
  • Skeletons_N_Animals

    VladPVas/Skeletons_N_Animals

    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

    Language:Python3111
  • Arvind2903/Flood-Detection

    Utilize a MobileNetV2 encoder and Pix2Pix decoder to perform precise semantic segmentation, distinguishing objects in images, such as identifying flooded areas in flood images. The purpose is to enable accurate object delineation for applications like disaster response and environmental monitoring.

    Language:Jupyter Notebook2100
  • dongheehand/pix2pix-tf

    A tensorflow implementation of Image-to-Image Translation with Conditional Adversarial Nets(pix2pix)

    Language:Python2100
  • japgarrido/pix2pix_image-generation

    This project implements an image-to-image translation model using the Pix2Pix architecture with TensorFlow. The goal is to generate realistic images from input images using the TU-Graz dataset.

    Language:Jupyter Notebook2100
  • mnansary/pyF2O

    Forged Image To Original Image Generation

    Language:Jupyter Notebook2002