Title: Enhancing Quality for VVC Compressed Videos by Jointly Exploiting Spatial Details and Temporal Structure,
Abstract: In this paper, we propose a quality enhancement network for Versatile Video
Coding (VVC) compressed videos by jointly exploiting spatial details and
temporal structure (SDTS). The network consists of a temporal structure
prediction subnet and a spatial detail enhancement subnet. The former subnet is
used to estimate and compensate the temporal motion across frames, and the
spatial detail subnet is used to reduce the compression artifacts and enhance
the reconstruction quality of the VVC compressed video. Experimental results
demonstrate the effectiveness of our SDTS-based approach. It offers over
7.82$\%$ BD-rate saving on the common test video sequences and achieves the
state-of-the-art performance.