An Ai that solve mazes with the model pix2pix
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Updated
May 12, 2022 - Jupyter Notebook
An Ai that solve mazes with the model pix2pix
Colorization of Image with Generative Adversarial Network (Pix2Pix).
converting the sketch face image into real picture
Colorization using ab channel averaging during training.
Cardiac Fats Segmentation Using a Conditional Generative Adversarial Network
pix2pix general adversial network, testing on aerial to map data set
Implementation of HW for IMVFX course in 2021 Fall semester at NYCU.
Pix2Pix model written in PyTorch
Pytorch Implementation of Pix2PixGAN
Image to Image translation using conditional GANs with Wasserstein loss and gradient penalty
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...
An implementation of GANs on chest X-ray Images to obtain Dual Energy X-ray images from Single Energy X-ray images
Pix2Pix Implementation for Facade Dataset
PyTorch implementation of various GAN architectures.
Developed for the "Neural Networks and Deep Learning" course, this project utilizes PyTorch for GAN implementation.
Computational DeFogging framework building off of previous research. U of U Summer Program for Undergraduate Research (SPUR) 2024.
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