Gaussian Splatting

Gaussian splatting is a novel 3D scene representation technique that models scenes as collections of 3D Gaussian primitives, enabling real-time rendering and efficient novel view synthesis. Current research focuses on improving the accuracy and efficiency of Gaussian splatting for various applications, including virtual try-on, LiDAR simulation, and robotic perception, often incorporating techniques like multi-view consistency, depth regularization, and semantic information. This approach offers significant advantages over traditional methods in terms of speed and rendering quality, impacting fields such as autonomous driving, robotics, and virtual reality through improved scene reconstruction and manipulation.