9 datasets found

The ModelNet40 dataset is a collection of 3D models, each with multiple views and annotations.

Shapenet is a large-scale synthesis 3D object dataset, where we follow [9] to use the official test splits of chair, car, and motorbike categories for evaluation since they...

Zero-shot learning (ZSL) aims to classify objects that are not observed or seen during training. It relies on class semantic description to transfer knowledge from the seen...

The SHREC dataset contains 3D models of various objects, including furniture, vehicles, and building components.

ModelNet is a large-scale 3D object recognition dataset containing 30,000 models from 50 categories.

The Objaverse dataset contains around 800k 3D objects. After adopting simple filter leveraging CLIP [27] to remove the objects whose rendered images are not relevant to its...

The Surface Reconstruction Benchmarks (SRB) dataset contains 3D models of various objects.

A large-scale dataset of 3D objects for training and testing 3D reconstruction models.

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...