A cross-platform, open-source library for the analysis of X-ray diffraction data.

Wave optical models and inverse algorithms for label-agnostic imaging of density & orientation.

Reconstruction Algorithms for Compressive Sensing and Compressive Imaging

High-resolution point cloud reconstruction from a compact Gaussian Mixture Model.

The Tomographer package implements the mathematical spatial image reconstruction of any set of read counts as described in the following article: https://www.nature.com/articles/s41587-021-00879-7

Data reconstruction and analysis tools for tomography data acquired at the P05 Imaging Beamline (IBL) and the P07 High-Energy Material Science (HEMS) beamline at PETRA III at DESY, both operated by Helmholtz-Zentrum Hereon.

UniTN Deep Learning Project 2021-22. Build a deep learning framework on a standard setting of Unsupervised Domain Adaptation (UDA).

Muon tomography data analysis library

3D point cloud generation from stereo images without OpenCV

DEEP-squared: Deep Learning Powered De-scattering with Excitation Patterning

Redbird - A Model-Based Diffuse Optical Imaging Toolbox

Direct 3D mesh reconstruction from tomographic projection data

An origin ensemble algorithm for Compton camera reconstruction.

[ROBOVIS 2026] Code for the Adaptive Keyframe Selection for Scalable 3D Scene Reconstruction in Dynamic Environments paper.

Deconvolution of the growth law equation. Theory and experiments published at https://doi.org/10.5194/gi-11-293-2022

Code accompanying 'A linear method for camera pair self-calibration' paper about camera pair self-calibration and metric reconstruction starting from a projective reconstruction, assuming different and varying focal lengths

This repository has research paper implementation which reconstructs training data.

Research project exploring multiplex reconstruction techniques informed by graph embeddings.

A collection of inverse problems (e.g., reconstruction of databases, algebraic reconstruction, topological derivatives, gravitational prospecting)

This repository contains the official implementation of the paper "Seismic Source Recovery Algorithm via Internal Learning in the Cross-spread Domain" published by European Association of Geoscientists & Engineers