3-D Context Entropy Model for Improved Practical Image Compression
CVPR Workshops, pp. 520-523, 2020.
In this paper, we present our image compression framework designed for CLIC 2020 competition. Our method is based on Variational AutoEncoder (VAE) architecture which is strengthened with residual structures. In short, we make three noteworthy improvements here. First, we propose a 3-D context entropy model which can take advantage of kn...More
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