量子电子学报2026，Vol.43Issue(3)：384-393,10.DOI:10.3969/j.issn.1007-5461.2026.03.006
高效轻量化的单光子三维成像方法
Efficient lightweight single-photon three-dimensional imaging method
摘要
Abstract
With the advancement of deep learning,single-photon imaging has gradually become an important and challenging research direction,and the introduction of deep learning is helpful for the three-dimensional(3D)reconstruction of single-photon images.Generally,single-photon images are sparse,noise-filled 3D images,with only a few valid signal echoes in their time channels.The existing single-photon imaging reconstruction architectures generally improve their performance by establishing larger backbone networks,which comes at the cost of higher GPU memory usage.Therefore,designing a lightweight yet effective model for deployment on edge devices has become one of the current focuses in related fields.This paper proposes a lightweight 3D image reconstruction architecture that achieves comparable results to other methods while significantly reducing computational requirements.Specifically,the architecture first utilizes a Swin Transformer network to extract temporal features of single-photon images,significantly reducing the dimensions of single-photon images through this time prediction network.Then,a densely cascaded multi-scale network(DCMNet)is employed to extract spatial domain features of single-photon images,ultimately completing the reconstruction of single photon images.This architecture improves the interconnection between decoding layers through a top-down cascade pathway and dense connections to generate high-quality multi-resolution depth outputs.Experimental results demonstrate that the proposed architecture can achieve commendable results while significantly reducing resource consumption.关键词
计算机视觉/单光子图像三维重建/Swin Transformer与密集级联多尺度网络/轻量级架构/边缘计算Key words
computer vision/three-dimensional reconstruction of single-photon images/Swin Transformer and dense cascaded multi-scale network/lightweight architecture/edge computing分类
数理科学引用本文复制引用
郑杰凯,刘尉悦,刘腾,林泽洪..高效轻量化的单光子三维成像方法[J].量子电子学报,2026,43(3):384-393,10.基金项目
浙江省自然科学基金(LY21F050003,LY23F010003),浙江省"尖兵""领雁"研发攻关计划(2024C01105) （LY21F050003,LY23F010003）
