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ShapeNet Parts
ShapeNet Parts is a dataset for part segmentation of 3D shapes. -
Tags2Parts dataset
Tags2Parts dataset for 3D shape co-segmentation -
BAE-NET: Branched Autoencoder for Shape Co-Segmentation
Unsupervised co-segmentation of 3D shapes using a branched autoencoder network -
ModelNet dataset
The dataset used for training a Convolutional Neural Network to predict a grasp quality score over all grasp poses, given a depth image of an object. -
Shapes3D dataset
The dataset used in the paper is a Shapes3D dataset, which contains 3D shapes with varying sizes and colors. -
Text2Shape
Text2Shape is a dataset of 8,447 table instances and 6,591 chair instances from the ShapeNet dataset, along with 75,344 natural language descriptions. -
ShapeNetPart
The dataset used in the paper is ShapeNetPart, a synthetic dataset for 3D object part segmentation. It contains 16,881 models from 16 categories. -
ModelNet40
Point cloud registration is a crucial problem in computer vision and robotics. Existing methods either rely on matching local geometric features, which are sensitive to the pose...