About this document
Trends in Deep Learning 3D Reconstruction by Akihito Sudo is a document available to read on EtoBox.
This document provides a survey of recent developments in image-based 3D object reconstruction using deep learning techniques. It discusses how early methods used multiple calibrated images but deep learning has enabled single image reconstruction by leveraging large datasets. The survey reviews over 100 papers published since 2015 on generic object reconstruction and specific classes like human bodies and faces. It aims to analyze key methods and discuss open problems and future directions in this emerging
- Author
- Akihito Sudo
- Language
- EN