In this paper, we propose a dense inception attention network (DIA_Net) to delve into image information and model capacity. The DIA_Net contains multiple ...

Abstract—Recently, deep learning technology has made signifi- cant progresses in high efficiency video coding (HEVC), especially in in-loop filter.

This paper attaches DIA_Net to the end of in-loop filter part in HEVC as a post-processor and applies it to luma components and shows remarkable improvement ...

Jun 19, 2020 · In this story, Dense Inception Attention Network (DIA_Net), by Huazhong Univ. of Sci. & Tech., and ZTE Corporation, is presented.

In this paper, we propose a dense inception attention network (DIA Net) to delve into image information and model capacity. The DIA Net contains multiple ...

Bibliographic details on Dense Inception Attention Neural Network for In-Loop Filter.

Nov 15, 2023 · Abstract—Adaptive loop filtering (ALF) is extensively inves- tigated for lossy video coding to mitigate compression noise.

To reduce the compression artifacts and obtain compressed frames of better quality, we design a dense inception at- tention based neural network (DIA Net) to ...

Apr 8, 2021 · A on-line scaling technique to optimize the output results of the neural network and further reduce the distortion be- tween the filtered frame ...

Sep 12, 2024 · This paper presents a framework for Convolutional Neural Network (CNN)-based quality enhancement task, by taking advantage of coding ...