MS-PS: A Multi-Scale Network for Photometric Stereo With a New Comprehensive Training Dataset

25 November 2022

Papers citing "MS-PS: A Multi-Scale Network for Photometric Stereo With a New Comprehensive Training Dataset"

5 / 5 papers shown

Title
A Neural Height-Map Approach for the Binocular Photometric Stereo Problem Fotios Logothetis Ignas Budvytis Roberto Cipolla 3DV 19 3 0 10 Nov 2023
Deep Learning Methods for Calibrated Photometric Stereo and Beyond Yakun Ju K. Lam Wuyuan Xie Huiyu Zhou Junyu Dong Boxin Shi 11 34 0 16 Dec 2022
A CNN Based Approach for the Point-Light Photometric Stereo Problem Fotios Logothetis R. Mecca Ignas Budvytis R. Cipolla 3DPC 3DV 32 20 0 10 Oct 2022
Learning Inter- and Intraframe Representations for Non-Lambertian Photometric Stereo Yanlong Cao Binjie Ding Zewei He Jiangxin Yang Jingxi Chen Yanpeng Cao Xin Li 11 13 0 26 Dec 2020
PS-FCN: A Flexible Learning Framework for Photometric Stereo Guanying Chen Kai Han Kwan-Yee Kenneth Wong 46 134 0 23 Jul 2018