Vis4GS: A Visual Analytic Tool for 3D Gaussian Splatting Reconstruction
For researchers and developers working with 3D Gaussian Splatting, Vis4GS addresses the lack of interpretability in the optimization process by enabling primitive-level diagnosis of reconstruction artifacts.
Vis4GS is a visual analytics tool for diagnosing artifacts in 3D Gaussian Splatting reconstruction, linking rendered artifacts to Gaussian properties and training history. A user study shows it provides stronger support for usability and artifact understanding than the original 3DGS viewer.
3D Gaussian Splatting (3DGS) supports fast training and real-time rendering, but its optimization process remains difficult to interpret. Existing viewers mainly expose the final reconstructed scene and offer limited support for explaining how Gaussian properties contribute to visible artifacts or evolve during training. We present Vis4GS, a multi-view visual analytics tool for primitive-level diagnosis of 3DGS reconstruction artifacts. Built on the original 3DGS viewer and training framework, Vis4GS links rendered artifacts to Gaussian properties, View Coverage, training progress, and Gaussian genealogy through four linked views: an interactive Gaussian analysis view, a property timeline view, a Gaussian densification tree view, and a log and control panel. The system supports Gaussian selection, blur and needle-like artifact scoring, View Coverage analysis, and multiscale genealogy exploration of clone, split, prune, and clone-split events. By connecting scene-level artifacts with primitive-level evidence and optimization history, Vis4GS enables a structured workflow for diagnosing reconstruction failures beyond final-image inspection and global metrics. A user study also shows that Vis4GS provides stronger support for usability and artifact understanding than the original 3DGS viewer.