Original article was published by Sik-Ho Tsang on Artificial Intelligence on Medium
Reading: MGNLF — Multi-Gradient Convolutional Neural Network Based In-Loop Filter (VVC Filtering)
3.29% BD-Rate Reduction Compared to Conventional VVC While VRCNN and CACNN-S Cannot Obtain BD-rate reduction
In this story, Multi-Gradient Convolutional Neural Network Based In-Loop Filter For VVC (MGNLF), by Peking University, is presented. I read this because I work on video coding research. In this paper:
- A multi-gradient convolutional neural network based in-loop filter (MGNLF) for VVC is proposed.
- Divergence and second derivatives of the frame are utilized.
This is a paper in 2020 ICME. (Sik-Ho Tsang @ Medium)