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Found 3 papers, 1 papers with code
Learned Video Compression for YUV 4:2:0 Content Using Flow-based Conditional Inter-frame Coding
To adapt our codec to YUV 4:2:0 content, we adopt a simple strategy of using space-to-depth and depth-to-space conversions.
CANF-VC: Conditional Augmented Normalizing Flows for Video Compression
CANF-VC represents a new attempt that leverages the conditional ANF to learn a video generative model for conditional inter-frame coding.
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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