omniobject3d.github.io - OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation

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Description: A novel approach that achieves photo-realistic rendering, fast reconstruction, and compact modeling.

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Tong Wu 2 , Jiarui Zhang 1,3 , Xiao Fu 1 , Yuxin Wang 1,4 , Jiawei Ren 5 , Liang Pan 5 , Wayne Wu 1 , Lei Yang 1,3 , Jiaqi Wang 1 , Chen Qian 1 , Dahua Lin 1,2 , Ziwei Liu 5

We propose OmniObject3D, a large vocabulary 3D object dataset with massive high-quality real-scanned 3D objects to facilitate the development of 3D perception, reconstruction, and generation in the real world.

OmniObject3D has several appealing properties: 1) Large Vocabulary: It comprises 6,000 scanned objects in 190 daily categories, sharing common classes with popular 2D datasets (e.g., ImageNet and LVIS), benefiting the pursuit of generalizable 3D representations. 2) Rich Annotations: Each 3D object is captured with both 2D and 3D sensors, providing textured meshes , point clouds , multi-view rendered images , and multiple real-captured videos . 3) Realistic Scans: The professional scanners support high-quali

Links to omniobject3d.github.io (13)



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