Vis4GS: A Visual Analytic Tool for 3D Gaussian Splatting Reconstruction

2026-06-25

AI Summary

This work addresses the opacity in understanding how rendering artifacts in 3D Gaussian Splatting (3DGS) reconstructions relate to the evolution of Gaussian parameters, compounded by the lack of effective diagnostic tools. To bridge this gap, we propose Vis4GS—the first multi-view visual analytics system that enables structured correlation among artifacts, Gaussian attributes, and optimization history. Vis4GS integrates interactive Gaussian selection, attribute timelines, densification lineage trees, and viewpoint coverage analysis, facilitating fine-grained attribution of blur or needle-like artifacts and multi-scale exploration of their generative lineage. User studies demonstrate that Vis4GS significantly enhances users’ ability to comprehend and diagnose artifacts compared to native viewers, transcending the limitations of final rendered images and global metrics.

Abstract

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.

Problem

• 3D Gaussian Splatting
• reconstruction artifacts
• visual analytics
• optimization interpretability
• Gaussian properties

Innovation

• 3D Gaussian Splatting
• Visual Analytics
• Primitive-level Diagnosis
• Gaussian Genealogy
• Artifact Analysis