Image Compression Artifact Reduction
2 papers with code • 0 benchmarks • 0 datasets
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Latest papers
Towards Flexible Blind JPEG Artifacts Removal
jiaxi-jiang/fbcnn
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ICCV 2021
Training a single deep blind model to handle different quality factors for JPEG image artifacts removal has been attracting considerable attention due to its convenience for practical usage.
Residual Dense Network for Image Restoration
yulunzhang/RDN
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We fully exploit the hierarchical features from all the convolutional layers.
