Datasets › Pano3D

Pano3D

Introduced by Georgios Albanis et al. in Pano3D: A Holistic Benchmark and a Solid Baseline for 360ᵒ Depth Estimation6 Sep 2021 archive 2025-07-28

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. The Pano3D 360 depth estimation benchmark provides a standard Matterport3D train and test split, as well as a secondary GibsonV2 partioning for testing and training as well. The latter is used for zero-shot cross dataset transfer performance assessment and decomposes it into 3 different splits, each one focusing on a specific generalization axis.

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Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

vcl3d.github.io/Pano3D/download/VCL3D/Pano3Dpytorch

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

Domain Adaptation Depth Estimation Out-of-Distribution Detection 3D Reconstruction Surface Normals Estimation 3D Depth Estimation Zero-Shot Learning + Domain Generalization Zero-Shot Out-of-Domain Detection

License archive 2025-07-28

Custom

Modalities archive 2025-07-28

Images 3D Point cloud RGB-D

Languages archive 2025-07-28

English

Variants archive 2025-07-28

Pano3D

1 variant name, as the archive lists them.

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