NeRF-Based-SLAM-Incredible-Insights

Project Overview

Welcome to the "NeRF-Based-SLAM-Incredible-Insights" repository. This project aims to provide comprehensive insights into various NeRF (Neural Radiance Fields) based Slam (Simultaneous Localization and Mapping) algorithms. If you're enthusiastic about NeRF-based Slam algorithms and wish to delve deep into their functionality and codebase, you're in the right place.

If you find this repository useful, please consider CITING and STARING this project. Feel free to share this project with others!

Detailed documentation on a variety of NeRF-based Slam algorithms, elucidating their fundamental principles and algorithmic workflows, such as every [Paper Insights] and [Code Notes] and [Tracking Insights] in Visual SLAM Insights and Lidar SLAM Insights.
Code annotations for selected NeRF-based Slam algorithms to facilitate comprehension of their code implementation, such as Co-SLAM_Scene_Representation_Noted and Co-SLAM_Tracking_Noted.
More analysis videos links are displayed below in video link.

Visual SLAM Insights

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis, ECCV, 2020. [Paper Insights] [Paper] [Tensorflow Code] [Webpage] [Video]
NICE-SLAM: Neural Implicit Scalable Encoding for SLAM, CVPR, 2021. [Code Notes] [Tracking Insights] [Mapping Insights] [Paper] [Code] [Website]
iMap: Implicit Mapping and Positioning in Real-Time, ICCV, 2021. [Paper Insights] [Paper] [Website] [Video]
NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM, arXiv, 2023. [Paper Insights] [Paper] [Video]
Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM, CVPR, 2023. [Mapping Insights] [Paper] [Website]
NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields, arXiv, 2022. [Paper Insights] [Problem Record] [Paper] [Pytorch Code] [Video]
vMAP: Vectorised Object Mapping for Neural Field SLAM, CVPR, 2023. [Paper Insights] [Paper] [Website] [Pytorch Code] [Video]
RO-MAP: Real-Time Multi-Object Mapping with Neural Radiance Fields, RAL, 2023. [Paper Insights] [Paper] [Code] [Video]
Neural Implicit Dense Semantic SLAM, arXiv, 2023. [Paper Insights] [Paper]

Lidar SLAM Insights

Efficient Implicit Neural Reconstruction Using LiDAR, ICRA, 2023. [Paper Insights] [Paper] [Website] [Pytorch Code] [Video]
NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping, ICCV, 2023. [Paper Insights] [Paper] [Code]

Video Link

zsxq members have video viewing rights

Acknowledgments

This project comes from the "Nerf Based SLAM Algorithm Learning Group" of CVLIFE. The contributing members include (in no particular order):

Tian Yubo, Liu Quanxiang, Shi Hui, Wang Shouan, Wan Jingyi, Zhong Zhide, Xu Yang, Zhang Yi, Chen Andong, Xia Ningning

Citation

@misc{electron2023nerfbasedslamincredibleinsights,
    title = {NeRF-Based-SLAM-Incredible-Insights},
    author = {electron6,shuttworth},
    journal = {GitHub repository},
    url = {https://github.com/electech6/NeRF-Based-SLAM-Incredible-Insights},
    year = {2023}
}

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electech6 / NeRF-Based-SLAM-Incredible-Insights