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Detecting 3D objects keypoints is of great interest to the areas of both graphics and computer vision. There have been several 2D and 3D keypoint datasets aiming to address this problem in a data-driven way. These datasets, however, either lack scalability or bring ambiguity to the definition of keypoints. Therefore, we present KeypointNet: the first large-scale and diverse 3D keypoint dataset that contains 83,231 keypoints and 8,329 3D models from 16 object categories, by leveraging numerousdoi:10.1109/cvpr42600.2020.01366 dblp:conf/cvpr/YouLLCLMLW20 fatcat:qvgs7ooonbeofplwo6tkrszt4u