3D Gaussian Splatting Papers
Introduction to 3D Gaussian Splatting
The 3D Gaussian Splatting Papers project is a compilation of notable research works centered around the innovative concept of 3D Gaussian splatting. This collection primarily serves academics, researchers, and enthusiasts interested in the applications and developments of this groundbreaking technique within the field of computer vision and graphics.
Project Evolution and Structure
Due to the increased interest and rapid growth in the volume of scholarly work related to 3D Gaussian splatting, the project's homepage was expanded significantly. To enhance the accessibility and review process, papers published before June 2024 have been archived, with recent entries organized in reverse chronological order. This restructuring allows easier navigation through the vast amounts of research papers and ongoing advancements in this specific area.
Academic Contributions and Conferences
The project hosts an extensive range of papers from prestigious conferences and journals, each delving into various facets of 3D Gaussian splatting and its applications:
- Major Conferences and Journals: Papers presented at notable venues like CVPR, ECCV, SIGGRAPH, and NeurIPS showcase diverse implementations and improvements in the technique.
- Categorization by Date: The most recent papers are prominently featured, allowing followers of the project to stay updated on the latest innovations and theoretical developments.
- Archived Works: Earlier works are systematically archived to maintain focus on the latest advancements while preserving the historical academic journey of the field.
Surveys and Reviews
Several comprehensive surveys and reviews are included, offering in-depth analyses and insights into the field's progression:
- A Survey on 3D Gaussian Splatting by Guikun Chen and Wenguan Wang provides foundational insights into the topic.
- 3D Gaussian as a New Vision Era: A Survey introduces innovative perspectives on utilizing 3D Gaussians in computer vision.
- Recent Advances in 3D Gaussian Splatting discusses developmental strides and the evolving landscape of the technology.
Innovative Papers and Tools
This collection includes various pioneering papers that explore and expand on Gaussian splatting techniques. The research covers topics like enhanced human avatar modeling, 3D reconstruction from arbitrary views, and dynamic scene modeling. These studies often include links to code repositories, enabling practical exploration and application:
- LoDAvatar explores hierarchical embedding techniques for human avatars.
- PixelGaussian presents a reconstruction method adaptable to diverse viewing angles.
- MEGA focuses on memory-efficient processing for dynamic scene rendering.
Specialized Surveys
The archive includes targeted surveys that address specific challenges and opportunities within the field, such as:
- 3DGS.zip details compression methods for 3D Gaussian splatting, providing valuable insights into data management.
- 3D Gaussian Splatting in Robotics explores its applications within robotics, demonstrating the versatility of the technique.
Conclusion
The 3D Gaussian Splatting Papers project is a crucial repository for anyone interested in understanding the depth, scope, and potential of 3D Gaussian techniques. Whether users are seasoned academics or newcomers to the field, this comprehensive collection offers a treasure trove of knowledge, historical context, and cutting-edge innovation. Through continued growth and updates, the project remains a crucial resource for keeping abreast of transformative developments in 3D imaging and computational rendering technologies.