[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
-
Updated
Jul 15, 2025 - Python
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
A Unified Framework for Surface Reconstruction
[SIGGRAPH Asia'24 & TOG] Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes
[ECCV'20] Convolutional Occupancy Networks
[TVCG2024] PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction
[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver
[NeurIPS'22] MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
Learning Implicit Surfaces from Point Clouds (ECCV 2020)
Poisson Surface Reconstruction for LiDAR Odometry and Mapping
scikit-fmm is a Python extension module which implements the fast marching method.
Volume rendering based surface reconstruction using Unsigned Distance Fields
PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces (CVPR 2023)
[CVPR 2025] Official PyTorch implementation of MAtCha Gaussians: Atlas of Charts for High-Quality Geometry and Photorealism From Sparse Views
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)
This repository tracks the latest advancements in 3D Gaussian Splatting from Arxiv, with daily automated updates. Stay up-to-date with cutting-edge research in this exciting field!
[SIGGRAPH Asia 2025 - TOG] Official implementation of MILo: Mesh-In-the-Loop Gaussian Splatting for Detailed and Efficient Surface Reconstruction
ICCV2021 Oral SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks
[CVPR2024] NARUTO: Neural Active Reconstruction
Add a description, image, and links to the surface-reconstruction topic page so that developers can more easily learn about it.
To associate your repository with the surface-reconstruction topic, visit your repo's landing page and select "manage topics."