14 datasets found

Surface parameterization plays an essential role in numerous computer graphics and geometry processing applications. Traditional parameterization approaches are designed for...

The dataset used for learning compact geometric features for local geometry in unstructured point clouds.

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.

The dataset contains 30 categories of bare meshes, each of which is annotated with 5 different text prompts for diverse stylization.

Generating adversarial examples is the art of creating a noise that is added to an input signal of a classifying neural network, and thus changing the network’s classification,...

A dataset of 3D shapes and textures for text-driven 3D manipulation.

A dataset of 3D models and textures.

A dataset of 3D object meshes and text prompts for text-driven 3D stylization for multi-object scenes.

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...

Human Body dataset is a benchmark for 3D shape segmentation.

COSEG dataset is a benchmark for 3D shape segmentation.

Cube Engraving dataset is a benchmark for 3D shape classification.

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

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...