RTR-GS: 3D Gaussian Splatting for Inverse Rendering with Radiance Transfer and Reflection
This work addresses the problem of handling reflective objects in inverse rendering for computer vision and graphics applications, representing an incremental improvement over existing 3DGS methods.
The paper tackles the challenge of rendering reflective objects in inverse rendering and relighting using 3D Gaussian Splatting, introducing RTR-GS to decompose BRDF and lighting for credible relighting results from multi-view images.
3D Gaussian Splatting (3DGS) has demonstrated impressive capabilities in novel view synthesis. However, rendering reflective objects remains a significant challenge, particularly in inverse rendering and relighting. We introduce RTR-GS, a novel inverse rendering framework capable of robustly rendering objects with arbitrary reflectance properties, decomposing BRDF and lighting, and delivering credible relighting results. Given a collection of multi-view images, our method effectively recovers geometric structure through a hybrid rendering model that combines forward rendering for radiance transfer with deferred rendering for reflections. This approach successfully separates high-frequency and low-frequency appearances, mitigating floating artifacts caused by spherical harmonic overfitting when handling high-frequency details. We further refine BRDF and lighting decomposition using an additional physically-based deferred rendering branch. Experimental results show that our method enhances novel view synthesis, normal estimation, decomposition, and relighting while maintaining efficient training inference process.