Advances in Visual Quality Restoration with Generative Adversarial Networks
In the latest years, we have witnessed a growing number of media transmitted and stored on computers and mobile devices. For this reason, there is an actual need to employ smart compression algorithms to reduce the size of our media files. However, such techniques are often responsible for severe reduction of user perceived quality. In this talk we present several approaches we have developed to restore degraded images and videos to match their original quality, making use of Generative Adversarial Networks. The aim of the talk is to highlight the main features of our research work, including the advantages of our solution, the current challenges and the possible directions for future improvements.
Veranstalter
Vortragende(r)
Leonardo Galteri, PhD
University of Florence
Kontakt
Christian Timmerer (christian [dot] timmerer [at] aau [dot] at)
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