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Autor:
Alexander Lytchier, Jan Xu, Dimitrios Kollias, Ciro Cursio, Arsalan Zafar, Christian Besenbruch
Publikováno v:
CVPR Workshops
We 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 autoencoder pipeline augmented with a nested hyperprior model, a PixelCN