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PX-NET: Simple and Efficient Pixel-Wise Training of Photometric Stereo
  Networks

PX-NET: Simple and Efficient Pixel-Wise Training of Photometric Stereo Networks

11 August 2020
Fotios Logothetis
Ignas Budvytis
R. Mecca
R. Cipolla
    3DV
    3DPC
ArXivPDFHTML

Papers citing "PX-NET: Simple and Efficient Pixel-Wise Training of Photometric Stereo Networks"

5 / 5 papers shown
Title
Deep Learning Methods for Calibrated Photometric Stereo and Beyond
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
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
Imperceptible Adversarial Examples for Fake Image Detection
Imperceptible Adversarial Examples for Fake Image Detection
Quanyu Liao
Yuezun Li
Xiaoqiang Guo
Bin Kong
Yingxin Zhu
Jianlei Liu
Zhuqing Jiang
Qi Song
Xi Wu
AAML
85
33
0
03 Jun 2021
Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian
  Photometric Stereo
Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo
David Honzátko
Engin Turetken
Pascal Fua
L. A. Dunbar
3DV
25
13
0
22 Mar 2021
PS-FCN: A Flexible Learning Framework for Photometric Stereo
PS-FCN: A Flexible Learning Framework for Photometric Stereo
Guanying Chen
Kai Han
Kwan-Yee Kenneth Wong
46
134
0
23 Jul 2018
1