扩展PBR材质，让图像合成能精确控制玻璃等透明表面。
ePBR: Extended PBR Materials in Image Synthesis
- 引入反射与透射属性，拓展内在图像表示以支持复杂材质
- 实现对玻璃等高反光/透明材质的确定性、可解释性合成
- 适合需要精准材质编辑的影视渲染与虚拟场景设计
真实感室内或室外图像合成是计算机视觉与图形学的核心挑战。基于学习的方法易于使用但缺乏物理一致性，而传统基于物理的渲染（PBR）虽具高真实感却计算成本高。内在图像表示通过将图像分解为几何、材质和光照等基本成分，在可控合成中提供了良好平衡。然而，现有PBR材质难以处理复杂表面模型，尤其在高反射与透明表面方面表现不足。本文提出扩展的内在图像表示，引入反射与透射特性，支持玻璃、窗户等透明材质的合成。我们构建了显式内在合成框架，实现确定性、可解释的图像生成，并通过扩展的PBR（ePBR）材质实现对材质的精确编辑控制。
原文摘要 · Abstract (English)
Realistic indoor or outdoor image synthesis is a core challenge in computer vision and graphics. The learning-based approach is easy to use but lacks physical consistency, while traditional Physically Based Rendering (PBR) offers high realism but is computationally expensive. Intrinsic image representation offers a well-balanced trade-off, decomposing images into fundamental components (intrinsic channels) such as geometry, materials, and illumination for controllable synthesis. However, existing PBR materials struggle with complex surface models, particularly high-specular and transparent surfaces. In this work, we extend intrinsic image representations to incorporate both reflection and transmission properties, enabling the synthesis of transparent materials such as glass and windows. We propose an explicit intrinsic compositing framework that provides deterministic, interpretable image synthesis. With the Extended PBR (ePBR) Materials, we can effectively edit the materials with precise controls.
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