Pano3D: Matterport3D (/w Filmic) High Resolution

Pano3D is a new benchmark for depth estimation from spherical panoramas. Its goal is to drive progress for this task in a consistent and holistic manner. To achieve that we generate a new dataset and integrate evaluation metrics that capture not only depth performance, but also secondary traits like boundary preservation and smoothness. Moreover, Pano3D takes a step beyond typical intra-dataset evaluation schemes to inter-dataset performance assessment. By disentangling generalization to three different axes, Pano3D facilitates proper extrapolation assessment under different out-of-training data conditions. Relying on the Pano3D holistic benchmark for 360 depth estimation we perform an extended analysis and derive a solid baseline for the task.Pano3D是一款面向球形全景图（Spherical Panoramas）深度估计（Depth Estimation）的全新基准测试集，旨在以统一且全面的方式推动该任务的研究进展。为此，我们构建了全新的数据集，并整合了多维度评估指标：这类指标不仅可衡量深度估计性能，还能同步捕捉诸如边界保留、平滑度等次要特性。此外，Pano3D突破了常规的数据集内评估范式，转而支持跨数据集性能评估。通过将泛化能力解耦至三个不同维度，Pano3D可支持在不同训练外数据场景下开展严谨的外推性能评估。依托Pano3D这一面向360°深度估计的全面基准测试集，我们开展了拓展性分析，并为该任务确立了可靠的基准性能基线。