华中科技大学学报（自然科学版）2024，Vol.52Issue(5)：98-122,25.DOI:10.13245/j.hust.240614
基于深度学习的单图像三维人体重建研究综述
Review of single-image 3D human reconstruction based on deep learning
摘要
Abstract
Research progress and development tendencies of deep-learning-based single-image 3 dimensions(3D)human reconstruction methods in the past five years were summarized.First,a series of the current state-of-the-art single-image 3D human reconstruction methods were combed from both the perspectives of model representation and computing method.For model representation,the four common representations,including depth image and point cloud representation,parametric body model representation,voxel and semantic voxel representation,and implicit surface function representation,as well as their mutual transformation relationship were presented in detail.For computing method,the proposed algorithms based on the above four representations were deeply described,and their pros and cons were analysed.Subsequently,the publicly available datasets for single-image 3D human reconstruction were introduced,and the quantitative evaluation metrics were presented.Then,the state-of-the-art single-image 3D human reconstruction methods were evaluated and compared quantitively and qualitatively on publicly available datasets.Finally,based on the experimental results,the problems of the existing methods were presented,and future challenges and research directions of single-image 3D human reconstruction were discussed.关键词
三维着衣人体重建/单图像三维重建/深度学习/点云/体素/参数化模型/隐式曲面函数/混合模型Key words
clothed 3D human reconstruction/single-image 3D reconstruction/deep learning/point cloud/voxel/parametric model/implicit surface function/hybrid model分类
信息技术与安全科学引用本文复制引用
刘乐元,孙见弛,高韵琪,高常鑫,陈靓影..基于深度学习的单图像三维人体重建研究综述[J].华中科技大学学报（自然科学版）,2024,52(5):98-122,25.基金项目
国家自然科学基金面上资助项目(62077026) （62077026）
国家自然科学基金重点资助项目(61937001) （61937001）
中央高校基本科研业务费优秀青年团队资助项目(CCNU22QN012). （CCNU22QN012）
