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Efficient Context-Aware Lossy Image Compression
AbstractWe present an efficient context-aware lossy image compression system to participate in the Low Rate track of the CLIC 2020 Image Compression challenge. Our method is based on an auto-encoder pipeline augmented with a nested hyperprior model, a PixelCNN-based context model and an adversarial loss to remove artefacts.
Related Material
[pdf][bibtex]@InProceedings{Xu_2020_CVPR_Workshops,
author = {Xu, Jan and Lytchier, Alexander and Cursio, Ciro and Kollias, Dimitrios and Besenbruch, Christian and Zafar, Arsalan},
title = {Efficient Context-Aware Lossy Image Compression},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
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