Labs for University course
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Updated
Jan 17, 2021 - Python
Labs for University course
Randomly masked image inpainting through CNN autoencoder
Master Thesis of Data Science at University of Amsterdam (2021). Title: Virtual Try-on with Realistic Hair using Occlusion Aware Image Painting Network
Unofficial pytorch implementation of 'Image Inpainting for Irregular Holes Using Partial Convolutions' [Liu+, ECCV2018]
A python library for STEM acquisition inpainting.
PyTorch implementation of "Image Inpainting with Learnable Bidirectional Attention Maps (ICCV 2019)"
Reconstruct visual wood texture with semantic attention. Image Inpainting.
Image Inpainting Using AutoEncoder and Guided Selection of Predicted Pixels https://ieeexplore.ieee.org/document/9827427
hyperCSI algorithm to signature hyperspectral image by image with lots of missing pixels
A Nonlocal Feature-Driven Exemplar-Based Approach For Image Inpainting
An easy to use text guided inpainting tools using AI models (Replace anything from your pictures)
Filling holes in images with missing parts. These missing parts are random blank spaces in the image. Catch: Everything has to be coded yourself (from scratch)! No external machine learning libraries!
Recovering Microscopic Images in Material Science Documents by Image Inpainting
A MATLAB implementation of "Image Inpainting using Online Dictionary Learning".
A Convolutional Neural Network model implemented in PyTorch to predict the RGB values of missing pixels in an image.
This repo contains read-list for my research (computer vision, spatio-temporal prediction, and urban computing).
Innovative GAN-based solution for recognizing faces concealed by masks
Homeworks and final project for Advanced Machine Learning (AML) at La Sapienza University of Rome
In this project I will be using 3 inpainting methods on MIT Places Dataset.
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