SRGS: Super-Resolution 3D Gaussian Splatting

TL;DR

This paper formalizes 3D Gaussian Splatting super-resolution as a unified modular framework, enabling analysis, comparison, and guidance for improving 3D scene reconstruction from low-resolution multi-view data.

Contribution

It introduces a formalized, modular objective for 3DGS super-resolution, unifying recent methods and providing a foundation for analysis and robust design.

Findings

Unified framework for 3DGS SR analysis

Disentangled roles of priors and regularization

Robustness under sparse views and challenging conditions

Abstract

Low-resolution (LR) multi-view capture limits the fidelity of 3D Gaussian Splatting (3DGS). 3DGS super-resolution (SR) is therefore important, yet challenging because it must recover missing high-frequency details while enforcing cross-view geometric consistency. We revisit SRGS, a simple baseline that couples plug-in 2D SR priors with geometry-aware cross-view regularization, and observe that most subsequent advances follow the same paradigm, either strengthening prior injection, refining cross-view constraints, or modulating the objective. However, this shared structure is rarely formalized as a unified objective with explicit modules, limiting principled attribution of improvements and reusable design guidance. In this paper, we formalize SRGS as a unified modular framework that factorizes 3DGS SR into two components, prior injection and cross-view regularization, within a joint objective. This abstraction subsumes a broad family of recent methods as instantiations of the same recipe, enabling analysis beyond single-method innovation. Across five public benchmarks, we consolidate nine representative follow-up methods and trace reported improvements to specific modules and settings. Ablations disentangle the roles of priors and consistency, and stress tests under sparse-view input and challenging capture conditions characterize robustness. Overall, our study consolidates 3DGS SR into a coherent foundation and offers practical guidance for robust, comparable 3DGS SR methods.