Edge-aware gaussian splatting: enhancing boundary fidelity in 3D scene rendering
This paper proposes a method that introduces an anchor re-growing module that dynamically increases neural Gaussian density in high-gradient regions using edge-aware optimization, and the Segment Anything Model (SAM) for generating accurate object segmentation masks to guide segmentation-based loss computation.