Discover BjoernHaefner/DepthSRfromShading Open Source project

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Created over 6 years ago
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BjoernHaefner

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This code implements the approach for the following research paper: Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading; B. Haefner, Y. Quéau, T. Möllenhoff, D. Cremers; Computer Vision and Pattern Recognition (CVPR), 2018.

mweCmakeMexCppCuda

Minimal working example (MWE) on how to use CMake, CUDA, MEX, C++ and library support at once

CMake

general_ups_python

Python implementation for Variational Uncalibrated Photometric Stereo under General Lighting (Haefner, B., Ye, Z., Gao, M., Wu, T., Quéau, Y. and Cremers, D.), In International Conference on Computer Vision (ICCV), 2019. Resources

Python

MumfordShahCuda

This repository contains an implementation based on the paper: Real-Time Minimization of the Piecewise Smooth Mumford-Shah Functional, E. Strekalovskiy, D. Cremers, European Conference on Computer Vision (ECCV), 2014

Cuda

lscm

This code uses geogram to compute least squares conformal maps based on the paper "Least Squares Conformal Maps for Automatic Texture Atlas Generation" Bruno Lévy, Sylvain Petitjean, Nicolas Ray, and Jérome Maillot, TOG 2002

C++

BjoernHaefner/DepthSRfromShading

BjoernHaefner

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