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Abstract

A method of processing video data includes receiving a picture; and filtering a current block of the picture, through a neural network and based on local correlations of proximate samples and distant, non-local correlations of non-proximate samples relative to the current block, to generate a filtered current block. The neural network comprises one or more backbone blocks and one or more transformer blocks. Each of the one or more transformer blocks is associated with a backbone block of the one or more backbone blocks. At least one of the backbone blocks is configured to capture the local correlations, relative to the current block and the proximate samples of the current block, and at least one of the transformer blocks is configured to generate features, based on applying an attention mechanism, that capture the distant, non-local correlations, relative to the current block and the non-proximate samples, in the picture for processing.

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First Claim