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In this paper, we propose a distortion-aware loop filtering model to improvethe performance of intra coding for 360$^o$ videos projected viaequirectangular projection (ERP) format. To enable the awareness of distortion,our proposed module analyzes content characteristics based on a coding unit(CU) partition mask and processes them through partial convolution to activatethe specified area. The feature recalibration module, which leverages cascadedresidual channel-wise attention blocks (RCABs) to adjust the inter-channel andintra-channel features automatically, is capable of adapting with differentquality levels. The perceptual geometry optimization combining with weightedmean squared error (WMSE) and the perceptual loss guarantees both the localfield of view (FoV) and global image reconstruction with high quality.Extensive experimental results show that our proposed scheme achievessignificant bitrate savings compared with the anchor (HM + 360Lib), leading to8.9%, 9.0%, 7.1% and 7.4% on average bit rate reductions in terms of PSNR,WPSNR, and PSNR of two viewports for luminance component of 360^o videos,respectively.

Distortion-Aware Loop Filtering of Intra 360^o Video Coding with Equirectangular Projection