Pano3D is a new benchmark for depth estimation from spherical panoramas. It aims to assess performance across all depth estimation traits, the primary direct depth estimation performance targeting precision and accuracy, and also the secondary traits, boundary preservation, and smoothness. Moreover, Pano3D moves beyond typical intra-dataset evaluation to inter-dataset performance assessment. By disentangling the capacity to generalize to unseen data into different test splits, Pano3D represents a holistic benchmark for $360^o$ depth estimation. We use it as a basis for an extended analysis seeking to offer insights into classical choices for depth estimation. This results in a solid baseline for panoramic depth that follow-up works can build upon to steer future progress.
翻译:Pano3D是球形全景深度估算的新基准,旨在评估所有深度估算特性的性能,主要直接深度估算精确度和精确度的性能,以及次要特征、边界保护和平稳性能。此外,Pano3D超越典型的内数据集评价,转向数据元内性性绩效评估。通过分离将不可见数据归纳为不同测试分解的能力,Pano3D代表了360美元深度估算的整体性基准。我们利用它作为广泛分析的基础,旨在为深度估算提供典型选择的见解。这为全景深度评估提供了坚实的基线,而后续工作可以在此基础上发展,以指导未来的进展。