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Photorealistic Learned Landscapes for Augmented Reality

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Dynamic Global Illumination for Interactive Gaussian Splatting Scenes in Real Time.

Chenxiao Hu, Meng Gai, Guoping Wang

IEEE Transactions on Visualization and Computer Graphics

|May 4, 2026

Summary

This study introduces a real-time pipeline for global illumination in dynamic scenes using 3D Gaussians and meshes. It enables efficient, high-quality rendering for interactive applications, optimizing performance.

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Area of Science:

Computer Graphics
Real-time Rendering
Global Illumination

Background:

Interactive and dynamic scenes require efficient global illumination approximations.
Existing methods struggle with complex scenes involving 3D Gaussian models and conventional meshes.
Real-time global illumination (RTGI) is crucial for immersive visual experiences.

Purpose of the Study:

To develop a real-time pipeline for approximating global illumination in scenes with 3D Gaussians and meshes.
To address performance challenges in rendering dynamic scenes with complex lighting.
To enable real-time rendering of interactive scenes with editable elements and advanced light transport.

Main Methods:

Formulated a surface light transport model specifically for 3D Gaussians.
Developed a fast compound stochastic ray-tracing algorithm.
Implemented a hardware 3D Gaussian rasterizer and multiple RTGI techniques for 3D Gaussians.

Main Results:

Achieved real-time rendering of interactive scenes with editable materials, lights, meshes, and 3D Gaussian models.
Effectively captured multi-bounce diffuse and one-bounce glossy light transport.
Demonstrated efficient real-time global illumination for both 3D Gaussian models and hybrid mesh-based models.

Conclusions:

The proposed pipeline successfully enables real-time global illumination for dynamic scenes incorporating 3D Gaussians.
3D Gaussians show significant potential for real-time global illumination applications.
The approach offers valuable insights into performance optimization for rendering complex scenes.