论文标题
解决与视图相关的辐射场中的形状范围歧义
Addressing the Shape-Radiance Ambiguity in View-Dependent Radiance Fields
论文作者
论文摘要
我们提出了一种处理辐射领域中观察信息的方法，以帮助3D重建的收敛和质量。具有视图依赖性的辐射场遭受了所谓的形状范围歧义，这在高角度分辨率的高角度分辨率下，可能导致不正确的几何形状。我们建议在每个摄像机的前面添加一个差异平面，目的是在训练过程中分离依赖视图和兰伯特的组件。我们还提出了一个额外的步骤，即我们训练但不存储，如果证明这种分离很困难，则有助于隔离表面的低分辨率视图函数。这些添加对性能和记忆使用情况有很小的影响，但是可以重建具有高度镜头组件的场景，而没有任何其他明确处理视图依赖性（例如球形谐波）。
We present a method for handling view-dependent information in radiance fields to help with convergence and quality of 3D reconstruction. Radiance fields with view-dependence suffers from the so called shape-radiance ambiguity, which can lead to incorrect geometry given a high angular resolution of view-dependent colors. We propose the addition of a difference plane in front of each camera, with the purpose of separating view-dependent and Lambertian components during training. We also propose an additional step where we train, but do not store, a low-resolution view-dependent function that helps to isolate the surface if such a separation is proven difficult. These additions have a small impact on performance and memory usage but enables reconstruction of scenes with highly specular components without any other explicit handling of view-dependence such as Spherical Harmonics.
