Official implementation of the paper "DeepMIF: Deep Monotonic Implicit Fields for Large-Scale LiDAR 3D Mapping"

[NeurIPS 2024] Benchmarking code for SS3DM: Benchmarking Street-View Surface Reconstruction with a Synthetic 3D Mesh Dataset

[CVPR2024] NARUTO: Neural Active Reconstruction

[NeurIPS 2024] VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction

Official code release for Transientangelo: Few-Viewpoint Surface Reconstruction Using Single-Photon Lidar

GS-SR: Gaussian Splatting for Surface Reconstruction

3D medical imaging reconstruction software

[NeurIPS 2024] Data exporter for SS3DM: Benchmarking Street-View Surface Reconstruction with a Synthetic 3D Mesh Dataset

[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields

xLPM: xGausaain-Splatting Models with Localized Point Management

Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)

Python code to generate surface phase diagrams

[TVCG2024] PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction

scikit-fmm is a Python extension module which implements the fast marching method.

[SIGGRAPH Asia'24 & TOG] Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes

Official code for FOUND: Foot Optimisation with Uncertain Normals for Surface Deformation using Synthetic Data

Simulate and analyse surface probe small angle xray scattering experiments.

A Unified Framework for Surface Reconstruction