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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SceneNet is a dataset of labelled synthetic indoor scenes. There are several labeled indoor scenes, including:
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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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50K synthetic renders of the human foot, with surface normals, masks and keypoints.
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