Datasets › OMMO

OMMO

Introduced by Chongshan Lu et al. in A Large-Scale Outdoor Multi-modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction17 Jan 2023 archive 2025-07-28

OMMO is a new benchmark for several outdoor NeRF-based tasks, such as novel view synthesis, surface reconstruction, and multi-modal NeRF. It contains complex objects and scenes with calibrated images, point clouds and prompt annotations.

Source: A Large-Scale Outdoor Multi-modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction

Image Source: https://arxiv.org/pdf/2301.06782v1.pdf

Homepage JSON

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 7 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Novel View Synthesis Surface Reconstruction

License archive 2025-07-28

MIT LICENSE

Modalities archive 2025-07-28

Images Point cloud

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

OMMO

1 variant name, as the archive lists them.

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