Deep Learning Methods for Calibrated Photometric Stereo and Beyond

Deep Learning Methods for Calibrated Photometric Stereo and Beyond

16 December 2022

Junyu Dong

Papers citing "Deep Learning Methods for Calibrated Photometric Stereo and Beyond"

8 / 8 papers shown

Title
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
LUCES: A Dataset for Near-Field Point Light Source Photometric Stereo R. Mecca Fotios Logothetis Ignas Budvytis R. Cipolla 3DV 29 22 0 27 Apr 2021
Is Space-Time Attention All You Need for Video Understanding? Gedas Bertasius Heng Wang Lorenzo Torresani ViT 283 1,984 0 09 Feb 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 22 13 0 26 Dec 2020
PS-FCN: A Flexible Learning Framework for Photometric Stereo Guanying Chen Kai Han Kwan-Yee K. Wong 54 134 0 23 Jul 2018
Single Day Outdoor Photometric Stereo Yannick Hold-Geoffroy Paulo F. U. Gotardo Jean-François Lalonde 25 15 0 28 Mar 2018
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,455 0 21 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 315 36,381 0 25 Aug 2016