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Found 2 papers, 1 papers with code
Degradation-Aware Residual-Conditioned Optimal Transport for Unified Image Restoration
More crucially, we design the transport map for restoration as a two-pass DA-RCOT map, in which the transport residual is computed in the first pass and then encoded as multi-scale residual embeddings to condition the second-pass restoration.
Ranked #1 on
Unified Image Restoration
on BSD68 sigma25
5-Degradation Blind All-in-One Image Restoration
Unified Image Restoration
Enhancing HEVC Compressed Videos with a Partition-masked Convolutional Neural Network
In this paper, we propose a partition-masked Convolution Neural Network (CNN) to achieve compressed-video enhancement for the state-of-the-art coding standard, High Efficiency Video Coding (HECV).
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