[CVPR2024] NARUTO: Neural Active Reconstruction
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Updated
Jun 6, 2024 - Python
[CVPR2024] NARUTO: Neural Active Reconstruction
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
Computational Anatomy Toolbox for SPM12
Learning Implicit Surfaces from Point Clouds (ECCV 2020)
scikit-fmm is a Python extension module which implements the fast marching method.
Large-scale LoD2 Building Reconstruction from Airborne LiDAR Point Clouds
3D Surface and Mesh Reconstruction from RGB Videos using COLMAP and Open3D
3D medical imaging reconstruction software
[AAAI'24] NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views
A Modular Framework for 3D Gaussian Splatting and Beyond
A Differentiable THB-spline module implemented in JAX and PyTorch
Gaussian Opacity Fields: Efficient and Compact Surface Reconstruction in Unbounded Scenes
Surface reconstruction library and CLI for particle data from SPH simulations, written in Rust.
Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)
Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects
PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces (CVPR 2023)
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
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