Restaurar imágenes dañadas y/o viejas con image inpainting
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Updated
Sep 18, 2020 - Python
Restaurar imágenes dañadas y/o viejas con image inpainting
Randomly masked image inpainting through CNN autoencoder
Unofficial pytorch implementation of 'Image Inpainting for Irregular Holes Using Partial Convolutions' [Liu+, ECCV2018]
hyperCSI algorithm to signature hyperspectral image by image with lots of missing pixels
Adversarial Large-scale Root Gaps Inpainting
Deep neural network to remove the surgical mask of a person by inpainting the specific region
Generate image inpainting with adversarial edge learning
An implementation of the the paper "Vector-Valued Image Regularization with PDEs: A Common Framework for Different Applications" by David Tschumperle and Rachid Deriche
Homeworks and final project for Advanced Machine Learning (AML) at La Sapienza University of Rome
R package that does Image Inpainting without leaving R ecosystem
Image Inpainting using Generative Adversarial Networks and Convolutional Neural Networks
PyTorch implementation of image inpainting technique as proposed in paper "Sementic Image Inpainting with Deep Generative Modes by R.A. Yeh et al."
Demo Day - Web Interface for Senior Design (2023), Texas A&M University. Team: Roshan Thomas, Fathima Hakeem, Farah Shabbir, Moussa Judia
Technology that will change the world
Artifacts image inpainting
Color inconsistencies are still a problem in image inpainting tasks. To deal with them, we present an attention mechanism named Masked Self-Attention, which takes an alternative approach to deal with masked inputs. In addition to that, we adopt contextual attention idea for our attention module. We also propose a new loss function called Semanti…
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