Content-Aware Convolutional Neural Network for In-loop Filtering in High Efficiency Video Coding (TIP 2019) [pdf]
In this paper, we focus on CNN technology joining with image restoration to facilitate video coding performance, and propose the content-aware CNN based in-loop filtering for High Efficiency Video Coding (HEVC). The proposed coding tool and pre-trained models are provided for performance comparison. The Project Page of the paper could found here.
We also provide the HEVC-compressed dataset for training the proposed method.
If you find our code helpful in your resarch or work, please cite our paper.
@article{jia2019content,
title={Content-Aware Convolutional Neural Network for In-loop Filtering in High Efficiency Video Coding},
author={Chuanmin Jia and Shiqi Wang and Xinfeng Zhang and Shanshe Wang and Jiaying Liu and Shiliang Pu and Siwei Ma},
journal={IEEE Transactions on Image Processing},
year={2019},
publisher={IEEE}
}