JVET-M0351 Convolutional Neural Network Filter (CNNF) for Intra Frame [C. Lin, J. Yao, L. Wang (Hikvision)] [late]

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This contribution provides a convolutional neural network filter (CNNF) for intra frames. In the current VTM, multiple filters, i.e., deblocking filter (DF) and sample adaptive offset (SAO) are used to remove artefacts or improve performance. CNNF is motivated by the latest advances in deep learning and is proposed as a single type of filter to replace multiple filters in intra frame. Simulation results report -4.94%, -7.07%, -8.17% BD-rate savings for luma, and both chroma components for VTM-3.0 with AI configuration.

Same method was proposed in JVET-I0022 (by that time run on top of JEM). Similar gain.

Software was already released by that time.