ACM MM 2020 Demo Paper Image and video restoration and compression

Filippo Mameli, Marco Bertini, Leonardo Galteri, Alberto Del Bimbo, Image and video restoration and compression artefact removal using a NoGAN approach

Our demo paper Filippo Mameli, Marco Bertini, Leonardo Galteri, Alberto Del Bimbo, Image and video restoration and compression artefact removal using a NoGAN approach has been accepted for publication at ACM Multimedia 2020.

Lossy image and video compression algorithms introduce several types of visual artefacts that reduce the visual quality of the compressed media.

In this work, we report results obtained using the NoGAN training approach and adapting the popular DeOldify architecture used for colorization, for image and video compression artefact removal and restoration.

Small Pixels at PNICube 2019

Finalist - PNICube Competition

Best Poster ACM ICMR 2020

Image Retrieval Using Multi-Scale CNN Feature Pooling

Lecture by O. L. de Lacalle

Semantic text similarity with images

Alberto Del Bimbo at AI DIVE 2018

AI DIVE 2018 Conference

Alberto Del Bimbo speaker on AI