Block-wise content-adaptive online training in neural image compression with post filtering

Abstract

Aspects of the disclosure provide a method, an apparatus, and a non-transitory computer-readable storage medium for video decoding. The apparatus can include processing circuitry. The processing circuitry is configured to reconstruct blocks of an image from a coded video bitstream. The processing circuitry can perform post-processing on one of a plurality of regions of first two neighboring reconstructed blocks of the reconstructed blocks with at least one post-processing neural network (NN). The first two neighboring reconstructed blocks have a first shared boundary and include a boundary region having samples on both sides of the first shared boundary. The plurality of regions of the first two neighboring reconstructed blocks includes the boundary region and non-boundary regions that are outside the boundary region. The one of the plurality of regions is replaced with the post-processed one of the plurality of regions of the first two neighboring reconstructed blocks.