Content-Aware Convolutional Neural Network for In-loop Filtering in High Efficiency Video Coding (TIP 2019) [pdf]

Project

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.

Dataset

We also provide the HEVC-compressed dataset for training the proposed method.

Citation

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}
}