This repository serves as a curated and continuously updated collection of academic papers related to 3D Gaussian Splatting. It aims to provide researchers, engineers, and practitioners in computer vision and graphics with a comprehensive resource for the latest advancements in this rapidly evolving field.

How It Works

The repository organizes papers by conference and year, offering a structured overview of the research landscape. It includes links to arXiv preprints, author information, institutional affiliations, and brief descriptions for each paper, facilitating quick access to relevant information and enabling users to track the latest developments in 3D Gaussian Splatting research.

Quick Start & Requirements

This repository is a collection of papers and does not have direct installation or execution requirements. Users can browse the papers via the provided links.

Highlighted Details

• Extensive coverage of papers from major computer vision conferences (CVPR, ECCV, SIGGRAPH, NeurIPS, etc.) and journals.
• Categorization of papers by topic, such as surveys, compression methods, robotics applications, and dynamic scene reconstruction.
• Inclusion of links to arXiv, author details, and brief paper summaries for easy access and understanding.

Maintenance & Community

The repository is continuously updated, indicating active maintenance. Users are encouraged to contribute and discuss via the provided channels.

Licensing & Compatibility

The repository itself is a collection of links to external research papers. The licensing of individual papers is determined by their respective publishers or authors.

Limitations & Caveats

As a curated list, this repository does not provide implementations or code for the papers listed. Users must refer to the individual paper links for code availability and specific technical details.