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Found 3 papers, 3 papers with code
RCLC: ROI-based joint conventional and learning video compression
COVID-19 leads to the high demand for remote interactive systems ever seen.
Image Compression with Encoder-Decoder Matched Semantic Segmentation
In recent years, layered image compression is demonstrated to be a promising direction, which encodes a compact representation of the input image and apply an up-sampling network to reconstruct the image.
B-DRRN: A Block Information Constrained Deep Recursive Residual Network for Video Compression Artifacts Reduction
In this paper, we design a neural network to enhance the quality of the compressed frame by leveraging the block information, called B-DRRN (Deep Recursive Residual Network with Block information).
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