Translating Real Images to cartoon images using PIX2PIX - Image-to-Image Translation with Conditional Adversarial Networks
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Updated
Jun 12, 2021 - Jupyter Notebook
Translating Real Images to cartoon images using PIX2PIX - Image-to-Image Translation with Conditional Adversarial Networks
Minimalist Pix2Pix implementation in pytorch
Implemented a pix2pix GAN to enhance the underwater visual data.
Research project aiming to collect a dataset of paired fog images and apply the pix2pix model to it, conducted at the University of Utah
Implemented basic deep learning models using PyTorch
Chinese Landscape Painting style transfer by adversarial network(中国山水画风格化)
Using Pix2Pix GAN for translating Anime images to something more aesthetic
An Ai that solve mazes with the model pix2pix
BTP project involving Deep Learning models for semantic segmentation
converting the sketch face image into real picture
Colorization using ab channel averaging during training.
Cardiac Fats Segmentation Using a Conditional Generative Adversarial Network
Implementation of HW for IMVFX course in 2021 Fall semester at NYCU.
Colorization of Image with Generative Adversarial Network (Pix2Pix).
This repository contains coursework and projects from the DeepLearning.AI GANs Specialization, covering topics like building GANs, advanced architectures (DCGANs, WGANs, StyleGANs), and applications in data augmentation and image-to-image translation.
Pix2Pix model written in PyTorch
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