OmniObject3D is a large vocabulary 3D object dataset with massive high-quality real-scanned 3D objects. OmniObject3D has several appealing properties:
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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.
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We introduced this dataset in Points2Surf, a method that turns point clouds into meshes.
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From https://github.com/MMintLab/VIRDO/blob/master/data/dataset_readme.txt,
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