This repository serves as a comprehensive, community-driven documentation hub for advancements in Neural Radiance Fields (NeRF) and related 3D vision technologies like 3D Gaussian Splatting (3DGS). It aims to consolidate research papers, tutorials, tools, and discussions for researchers, engineers, and enthusiasts in the field.

How It Works

The project curates and categorizes a vast collection of academic papers, surveys, and tutorials on NeRF and 3DGS. It provides structured access to foundational concepts, recent enhancements, and diverse applications, including dynamic scenes, SLAM, AI-generated content, and hardware optimization. Links to official project pages, code repositories, and supplementary materials are included for each entry.

Quick Start & Requirements

This repository is a documentation collection, not a runnable software package. Accessing the content requires a web browser. Links are provided to external resources for specific tools and research papers.

Highlighted Details

• Extensive categorization of NeRF and 3DGS research, covering over 100 distinct sub-topics.
• Links to numerous papers with arXiv, project pages, and code repositories.
• Includes tutorials, surveys, and benchmarks for NeRF evaluation.
• Features a dedicated section for 3DGS and ongoing community contributions.

Maintenance & Community

The project is actively maintained by the NeRF/3DGS & Beyond community, with daily updates and a call for community contributions. Users are encouraged to join WeChat groups or Discord channels for discussions and to report issues.

Licensing & Compatibility

The content is licensed under CC-0, allowing for broad reuse and adaptation.

Limitations & Caveats

As a curated list of external resources, the accuracy and availability of linked papers and code depend on the original authors and repositories. The sheer volume of information may require significant time to navigate and digest.