Optimizing 3D Reconstruction with Gaussian Splatting

Polymuse aims to enhance its app's 3D reconstruction capabilities by implementing and optimizing Gaussian splatting algorithms. The goal of this project is to improve the rendering speed, memory efficiency, and visual quality of 3D models generated by the app . Learners will apply their knowledge of computer graphics and algorithms to integrate Gaussian splatting into the existing Polymuse system. Additionally, they will conduct a performance benchmarking study to compare this new implementation with current 3D modeling techniques. This study will focus on key metrics such as rendering speed, memory usage, and visual quality. Finally, the project involves developing a user feedback system to gather insights on the usability and effectiveness of the new feature, providing valuable data for future improvements.