Learning Based Uncalibrated Photometric Stereo for Non-Lambertian Surface (CVPR 2019 Oral)
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Updated
Jul 8, 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)
[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
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
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".
Official Implementation of "Spin-UP: Spin Light-for Natural Light Uncalibrated Photometric Stereo", CVPR2024
A 3d cloud mesh is generated from a, set of photos taken from a drone, in airsim environment.
Computer Vision Spring 2023 @ NYCU
Code for "Drawing the Line: Deep Segmentation for Extracting Art from Ancient Etruscan Mirrors" published @ ICDAR2024
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