PRTGS: Precomputed Radiance Transfer of Gaussian Splats for Real-Time High-Quality Relighting
Yijia Guo, Yuanxi Bai, Liwen Hu, Ziyi Guo, Mianzhi Liu, Yu Cai, Tiejun, Huang, Lei Ma

TL;DR
PRTGS enables real-time, high-quality relighting of Gaussian splats in dynamic scenes by precomputing radiance transfer, capturing soft shadows and interreflections efficiently for immersive visual effects.
Contribution
It introduces a novel precomputing framework for radiance transfer in Gaussian splats, significantly improving real-time relighting quality and speed for complex, dynamic lighting environments.
Findings
Achieves state-of-the-art visual quality in relighting.
Maintains 30+ fps for dynamic scenes at 1080p.
Reduces training time with specialized precomputing methods.
Abstract
We proposed Precomputed RadianceTransfer of GaussianSplats (PRTGS), a real-time high-quality relighting method for Gaussian splats in low-frequency lighting environments that captures soft shadows and interreflections by precomputing 3D Gaussian splats' radiance transfer. Existing studies have demonstrated that 3D Gaussian splatting (3DGS) outperforms neural fields' efficiency for dynamic lighting scenarios. However, the current relighting method based on 3DGS still struggles to compute high-quality shadow and indirect illumination in real time for dynamic light, leading to unrealistic rendering results. We solve this problem by precomputing the expensive transport simulations required for complex transfer functions like shadowing, the resulting transfer functions are represented as dense sets of vectors or matrices for every Gaussian splat. We introduce distinct precomputing methods…
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Taxonomy
TopicsImage Enhancement Techniques · Computer Graphics and Visualization Techniques · Advanced Image and Video Retrieval Techniques
MethodsSPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings
