Learning Based Uncalibrated Photometric Stereo for Non-Lambertian Surface (CVPR 2019 Oral)
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Updated
Mar 25, 2024 - Python
Learning Based Uncalibrated Photometric Stereo for Non-Lambertian Surface (CVPR 2019 Oral)
Learning Based Calibrated Photometric Stereo for Non-Lambertian Surface (ECCV 2018)
A MATLAB Implementation of the Basic Photometric Stereo Algorithm
Source code for our paper "Depth Super-Resolution Meets Uncalibrated Photometric Stereo"
What is Learned in Deep Uncalibrated Photometric Stereo? (ECCV 2020)
[CVPR 2023] Multi-View Azimuth Stereo via Tangent Space Consistency
This is the project page for our ICCVW 2017 paper 'Deep photometric stereo network' by Hiroaki Santo, Masaki Samejima, Yusuke Sugano, Boxin Shi, and Yasuyuki Matsushita.
Term project. A python implementation of the Basic Photometric Stereo Algorithm
The toolbox to run and evaluate reconstruction algorithms
Neural Reflectance Field from Shading and Shadow under a Fixed Viewpoint
Multiview Photometric Stereo (MVPS) Studio Hardware and Software for 3D Reconstruction
Master thesis done in Computer Vision Group of Technical University of Munich. Supervisors are Dr. Yvain Queau and Prof. Daniel Cremers.
Photometric Stereo via Discrete Hypothesis-and-Test Search (CVPR 2020)
This is the project page for our ECCV2020 paper: "Deep near-light photometric stereo for spatially varying reflectances".
point-light photometric stereo for metal surface reconstruction
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