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Hierarchical B-frame Video Coding Using Two-Layer CANF without Motion Coding
The rate-distortion performance of our scheme is slightly lower than that of the state-of-the-art learned B-frame coding scheme, B-CANF, but outperforms other learned B-frame coding schemes.
Learned Video Codec with Enriched Reconstruction for CLIC P-frame Coding
More specifically, we designed a compressor network with Refine-Net for coding residual signals and motion vectors.
An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU
We propose a lossy image compression system using the deep-learning autoencoder structure to participate in the Challenge on Learned Image Compression (CLIC) 2018.
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