awesome-NeRF-and-3DGS-SLAM  by 3D-Vision-World

Discover NeRF and 3D Gaussian Splatting research for robotics and SLAM

Created 2 years ago
1,596 stars

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Project Summary

This repository serves as a comprehensive, curated list of academic papers, code, and resources focused on Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) applied to Simultaneous Localization and Mapping (SLAM) and robotics. It aims to provide researchers, engineers, and practitioners with an organized and easily navigable overview of the rapidly evolving landscape in this domain, facilitating efficient discovery and evaluation of state-of-the-art techniques.

How It Works

The repository functions as a living bibliography, meticulously categorizing relevant research papers across key areas such as NeRF and 3DGS for Visual, Lidar, and Multimodal SLAM, as well as their applications in robotics for manipulation, navigation, and localization. Each entry typically includes direct links to the paper, associated code repositories, project webpages, and video demonstrations, enabling users to quickly access and assess the foundational work and practical implementations.

Quick Start & Requirements

As this repository is a curated list of research papers and resources, there is no software to install or run directly. Users require access to the internet and the ability to follow external links to access the cited papers, code repositories, and other supplementary materials.

Highlighted Details

  • Extensive coverage of NeRF and 3DGS techniques specifically tailored for SLAM and robotics applications.
  • Detailed categorization includes foundational NeRF models, various SLAM modalities (visual, lidar, multimodal), robotics tasks (manipulation, navigation, localization), comprehensive survey papers, benchmarks, and tutorials.
  • Provides direct, actionable links to papers, codebases, project websites, and video demonstrations for each listed research contribution.
  • Encourages community contributions via pull requests and email to maintain and expand the list's comprehensiveness.

Maintenance & Community

The repository relies on community contributions for updates and additions, with clear calls for pull requests and direct contact for submissions. While specific community channels like Discord or Slack are not detailed, the open contribution model suggests an active, community-driven maintenance approach.

Licensing & Compatibility

No specific software license is mentioned for the repository itself. The licensing of individual linked papers and code repositories would need to be checked on their respective platforms.

Limitations & Caveats

The repository's value is directly tied to the ongoing efforts of its maintainers and community to keep the list updated with the latest research. It serves as a directory rather than an integrated tool, meaning users must independently evaluate the quality and applicability of the linked resources.

Health Check
Last Commit

22 hours ago

Responsiveness

Inactive

Pull Requests (30d)
0
Issues (30d)
0
Star History
43 stars in the last 30 days

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