[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
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Updated
Nov 10, 2024 - Python
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
A Unified Framework for Surface Reconstruction
[ECCV'20] Convolutional Occupancy Networks
[SIGGRAPH Asia'24 & TOG] Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes
[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver
[NeurIPS'22] MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
[TVCG2024] PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction
Learning Implicit Surfaces from Point Clouds (ECCV 2020)
Poisson Surface Reconstruction for LiDAR Odometry and Mapping
Volume rendering based surface reconstruction using Unsigned Distance Fields
scikit-fmm is a Python extension module which implements the fast marching method.
PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces (CVPR 2023)
HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details (NeurIPS 2022)
[NeurIPS 2024] VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction
Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)
ICCV2021 Oral SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks
[CVPR2024] NARUTO: Neural Active Reconstruction
[AAAI'24] NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views
GS-SR: Gaussian Splatting for Surface Reconstruction
Official code for FOUND: Foot Optimisation with Uncertain Normals for Surface Deformation using Synthetic Data
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