PolarGuide-GSDR：偏振先验与延迟反射驱动的3D高斯泼溅用于真实反射场景
PolarGuide-GSDR: 3D Gaussian Splatting Driven by Polarization Priors and Deferred Reflection for Real-World Reflective Scenes
将偏振先验嵌入3DGS优化，通过双向迭代解耦反射与几何，为反射场景下的实时新视角合成和法线估计提供了可复用的框架。
原文依据 the first framework embedding polarization priors into 3DGS optimization
摘要译文
由模型翻译 · 术语统一 · 请对照原文核对关键结论偏振感知神经辐射场（NeRF）能够实现镜面场景的新视角合成，但存在训练慢、渲染效率低以及材质/视角假设等问题。3D高斯泼溅（3DGS）支持实时渲染，但由于反射与几何的纠缠，在反射重建方面仍面临困难。我们提出PolarGuide-GSDR，一个偏振引导的框架，利用偏振信息分离镜面反射以进行引导重建，并在偏振与3DGS之间建立双向迭代优化：首先利用3DGS几何先验消除偏振歧义，然后使用精炼后的偏振法线引导3DGS法线和球谐表示，在无需严格材质假设的情况下实现高保真反射分离和全场景重建。在公开和自采集数据集上的实验表明，PolarGuide-GSDR在镜面重建、法线估计和新视角合成方面达到最优性能，同时保持实时渲染。据我们所知，这是首个将偏振先验嵌入3DGS优化的框架，为复杂反射场景提供了优越的可解释性和实时性能。
英文原文摘要 1273 字符
Polarization-aware Neural Radiance Fields (NeRF) enables novel view synthesis of specular scenes but suffers from slow training, inefficient rendering, and material/viewpoint assumptions. 3D Gaussian Splatting (3DGS) supports real-time rendering but struggles with reflection reconstruction due to reflection-geometry entanglement. We propose PolarGuide-GSDR, a polarization-guided framework that leverages polarization information to separate specular reflections for guided reconstruction, and builds bidirectional iterative optimization between polarization and 3DGS: it first uses 3DGS geometric priors to disambiguate polarization, then uses refined polarization normal to guide 3DGS normals and Spherical Harmonics representations, achieving high-fidelity reflection separation and full-scene reconstruction without restrictive material assumptions. Experiments on public and self-collected datasets show that PolarGuide-GSDR achieves state-of-the-art performance in specular reconstruction, normal estimation, and novel view synthesis, while maintaining real-time rendering. To our knowledge, this is the first framework embedding polarization priors into 3DGS optimization, offering superior interpretability and real-time performance for complex reflective scenes.