Computational DeFogging framework building off of previous research. U of U Summer Program for Undergraduate Research (SPUR) 2024.
-
Updated
Jul 15, 2024 - Jupyter Notebook
Computational DeFogging framework building off of previous research. U of U Summer Program for Undergraduate Research (SPUR) 2024.
Research project aiming to collect a dataset of paired fog images and apply the pix2pix model to it, conducted at the University of Utah
Developed for the "Neural Networks and Deep Learning" course, this project utilizes PyTorch for GAN implementation.
Implemented basic deep learning models using PyTorch
Pix2Pix Implementation for Facade Dataset
pix2pix general adversial network, testing on aerial to map data set
Chinese Landscape Painting style transfer by adversarial network(中国山水画风格化)
Create Pix2Pix quick!, The Pix2Pix GAN is a general approach for image-to-image translation. It is based on the conditional generative adversarial network, where a target image is generated, conditional on a given input image. In this case, the Pix2Pix...
Image to Image translation using conditional GANs with Wasserstein loss and gradient penalty
An Ai that solve mazes with the model pix2pix
Implemented a pix2pix GAN to enhance the underwater visual data.
An implementation of GANs on chest X-ray Images to obtain Dual Energy X-ray images from Single Energy X-ray images
Pytorch Implementation of Pix2PixGAN
converting the sketch face image into real picture
Cardiac Fats Segmentation Using a Conditional Generative Adversarial Network
Implementation of HW for IMVFX course in 2021 Fall semester at NYCU.
Colorization using ab channel averaging during training.
Add a description, image, and links to the pix2pix-pytorch topic page so that developers can more easily learn about it.
To associate your repository with the pix2pix-pytorch topic, visit your repo's landing page and select "manage topics."