A Differentiable THB-spline module implemented in JAX and PyTorch
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Updated
May 23, 2024 - Python
A Differentiable THB-spline module implemented in JAX and PyTorch
Gaussian Opacity Fields: Efficient and Compact Surface Reconstruction in Unbounded Scenes
A Modular Framework for 3D Gaussian Splatting and Beyond
3D medical imaging reconstruction software
Computational Anatomy Toolbox for SPM12
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
Surface reconstruction library and CLI for particle data from SPH simulations, written in Rust.
[CVPR2024] NARUTO: Neural Active Reconstruction
Large-scale LoD2 Building Reconstruction from Airborne LiDAR Point Clouds
Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)
Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects
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scikit-fmm is a Python extension module which implements the fast marching method.
[AAAI'24] NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views
Fast radial basis function interpolation for large scale data
Official code of UFORecon (CVPR 2024)
[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
Official implementation of the paper "DeepMIF: Deep Monotonic Implicit Fields for Large-Scale LiDAR 3D Mapping"
Polygonal Surface Reconstruction from Point Clouds
Comparison of a few different methods for estimating surface normals in a point cloud.
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