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

11 August 2020

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

8 / 8 papers shown

Title
Deep Learning Methods for Calibrated Photometric Stereo and Beyond Yakun Ju K. Lam Wuyuan Xie Huiyu Zhou Junyu Dong Boxin Shi 13 35 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 37 20 0 10 Oct 2022
Self-calibrating Photometric Stereo by Neural Inverse Rendering Junxuan Li Hongdong Li 3DV 35 27 0 16 Jul 2022
DeepShadow: Neural Shape from Shadow A. Karnieli Ohad Fried Y. Hel-Or 21 8 0 28 Mar 2022
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 100 33 0 03 Jun 2021
Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo David Honzátko Engin Turetken Pascal Fua L. A. Dunbar 3DV 27 13 0 22 Mar 2021
Learning Inter- and Intraframe Representations for Non-Lambertian Photometric Stereo Yanlong Cao Binjie Ding Zewei He Jiangxin Yang Jingxi Chen Yanpeng Cao Xin Li 19 13 0 26 Dec 2020
PS-FCN: A Flexible Learning Framework for Photometric Stereo Guanying Chen Kai Han Kwan-Yee K. Wong 51 134 0 23 Jul 2018