Learning Based Uncalibrated Photometric Stereo for Non-Lambertian Surface (CVPR 2019 Oral)

Robust Photometric Stereo

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"

[CVPR 2023] Multi-View Azimuth Stereo via Tangent Space Consistency

What is Learned in Deep Uncalibrated Photometric Stereo? (ECCV 2020)

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

Multiview Photometric Stereo (MVPS) Studio Hardware and Software for 3D Reconstruction

Neural Reflectance Field from Shading and Shadow under a Fixed Viewpoint

Official Implementation of "DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse Rendering", CVPR2023

point-light photometric stereo for metal surface reconstruction

Master thesis done in Computer Vision Group of Technical University of Munich. Supervisors are Dr. Yvain Queau and Prof. Daniel Cremers.

Intrinsic components for the MIT Multi-Illumination Dataset

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".