Efficient Perspective-Correct 3D Gaussian Splatting Using Hybrid Transparency

2024-10-10

arXiv.org

AI Summary

To address multi-view inconsistency, perspective distortion, and transparency-compositing artifacts in real-time 3D Gaussian Splatting (3DGS), this paper proposes an efficient, high-fidelity rendering framework. Methodologically: (i) we derive an analytical perspective-correct Gaussian projection that avoids matrix inversion, ensuring numerical stability and geometric consistency; (ii) we introduce a per-pixel layered hybrid transparency model, achieving near-full-precision alpha blending at minimal computational cost; and (iii) we design a modular, plug-and-play rendering architecture. Experiments demonstrate that, compared to standard 3DGS, our method doubles frame rate and optimization speed while maintaining or improving image quality. It significantly suppresses visual artifacts—including popping, edge aliasing, and view-switch flickering—enabling high-quality, real-time, multi-view-consistent rendering.

Technology Category

• Computer Vision: 3D Computer Vision
• Machine Learning: Hardware-aware ML
• Intelligent Robots: Multimodal Perception & Sensor Fusion

Application Category

• Security and Privacy: Data transparency and provenance
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs
• Responsible Web: Human-perceived consequences of algorithmic deployment on the web

Abstract

3D Gaussian Splats (3DGS) have proven a versatile rendering primitive, both for inverse rendering as well as real-time exploration of scenes. In these applications, coherence across camera frames and multiple views is crucial, be it for robust convergence of a scene reconstruction or for artifact-free fly-throughs. Recent work started mitigating artifacts that break multi-view coherence, including popping artifacts due to inconsistent transparency sorting and perspective-correct outlines of (2D) splats. At the same time, real-time requirements forced such implementations to accept compromises in how transparency of large assemblies of 3D Gaussians is resolved, in turn breaking coherence in other ways. In our work, we aim at achieving maximum coherence, by rendering fully perspective-correct 3D Gaussians while using a high-quality approximation of accurate blending, hybrid transparency, on a per-pixel level, in order to retain real-time frame rates. Our fast and perspectively accurate approach for evaluation of 3D Gaussians does not require matrix inversions, thereby ensuring numerical stability and eliminating the need for special handling of degenerate splats, and the hybrid transparency formulation for blending maintains similar quality as fully resolved per-pixel transparencies at a fraction of the rendering costs. We further show that each of these two components can be independently integrated into Gaussian splatting systems. In combination, they achieve up to 2$ imes$ higher frame rates, 2$ imes$ faster optimization, and equal or better image quality with fewer rendering artifacts compared to traditional 3DGS on common benchmarks.

Problem

• Achieve maximum coherence in 3D Gaussian rendering.
• Implement hybrid transparency for real-time frame rates.
• Improve frame rates and image quality with fewer artifacts.

Innovation

• Hybrid transparency for accurate blending
• Perspective-correct 3D Gaussian rendering
• Matrix-free evaluation for numerical stability