Journal of Jilin Institute of Chemical Technology, 2020, 37(1): 58-62    doi: 10.16039/j.cnki.cn22-1249.2020.01.013
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Single Image 3D Reconstruction Algorithm Based on Deep Learning
ZHU Li,CHEN Hui
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Abstract  

Image 3D reconstruction is widely used in reverse engineering, artificial intelligence and other fields. It is a hot research topic based on deep learning to reconstruct a 3D model using a single image. The article first reviews the research status of 3D reconstruction of single image, focusing on 3D-R2N2 based on voxel expression, PSGN based on point cloud expression, Pixel2Mesh based on monolithic grid expression and AtlasNet based on multi-piece triangle mesh expression. The algorithm analyzes the problem of different expressions of different tasks and output models through experimental comparative research.

Key words deep learning      single image      3D reconstruction      
Published: 25 January 2020
:  TP391.4  
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ZHU Li
CHEN Hui
Cite this article:   
ZHU Li,CHEN Hui. Single Image 3D Reconstruction Algorithm Based on Deep Learning [J]. Journal of Jilin Institute of Chemical Technology, 2020, 37(1): 58-62.
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https://xuebao.jlict.edu.cn/EN/10.16039/j.cnki.cn22-1249.2020.01.013     OR     https://xuebao.jlict.edu.cn/EN/Y2020/V37/I1/58