计算机与数字工程2025，Vol.53Issue(4)：1002-1007,1014,7.DOI:10.3969/j.issn.1672-9722.2025.04.015
基于通道多尺度特征融合的三维人脸重建方法
3D Face Reconstruction Based on Channel Multi-scale Feature Fusion
摘要
Abstract
In order to solve the problem of lack of shape details of 3D face reconstruction,an unsupervised 3D face reconstruc-tion method based on channel multi-scale feature fusion is proposed in this paper.The channel multi-scale feature fusion method fuses the feature information of different channels on the multi-channel,and learns the facial features of different scales,which makes the network learning richer global features.At the same time,the latest large kernel attention method is introduced to sup-press the background noise on a single channel and extract more human face feature information.Qualitative and quantitative experi-mental results on three face datasets BFM,3DFAW and Photoface demonstrate the effectiveness and superiority of the proposed method.关键词
三维人脸重建/通道多尺度/大核注意力/自监督Key words
3D face reconstruction/channel multi-scale/large kernel attention/self-supervision分类
信息技术与安全科学引用本文复制引用
王超智,朱磊,刘青山..基于通道多尺度特征融合的三维人脸重建方法[J].计算机与数字工程,2025,53(4):1002-1007,1014,7.基金项目
江苏省前沿引领技术基础研究专项课题(编号:BK20192004B)资助. （编号:BK20192004B）
