13 datasets found

Groups: 3D models Organizations: No Organization

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  • Shapenet: An Information-Rich 3D Model Repository

    A large-scale 3D model repository containing over 16,000 3D models.

  • ModelNet40, ModelNet10

    The dataset used in the paper is ModelNet40 and ModelNet10, which are subsets of ShapeNet.

  • ShapeNet, ModelNet40, ModelNet10

    The dataset used in the paper is ShapeNet, a large-scale dataset of 3D models, and ModelNet40 and ModelNet10, which are subsets of ShapeNet.

  • Cap3D dataset

    The Cap3D dataset is a large-scale dataset of 3D models with captions.

  • Objaverse-LVIS dataset

    The Objaverse-LVIS dataset contains ∼ 46,000 3D models in 1,156 categories.

  • Pix3D: Dataset and methods for single-image 3D shape modeling

    The Pix3D dataset is a dataset of pairs of natural images and CAD models.

  • Shapenet

    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...

  • ScanObjectNN

    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...

  • Pix3D

    The Pix3D dataset is a collection of 3D models with RGB images, used for training and testing 3D object recognition and generation tasks.

  • ModelNet10

    3D Convolutional Neural Networks are sensitive to transformations applied to their input. This is a problem because a voxelized version of a 3D object, and its rotated clone,...

  • Objaverse

    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...

  • 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...