23 datasets found

The ShapeNet-ViPC dataset contains 38,328 objects from 13 categories; for each object it comprises 24 partial point clouds with occlusions generated under 24 viewpoints.

ShapeNetV2 is a large-scale dataset of 3D shapes, with over 16,000 models, each described by a set of 3D coordinates.

The dataset used in this paper is a subset of the ShapeNet dataset, which is used for training and testing 3D reconstruction models.

The chair dataset from ShapeNet Core, converted to 64×64×64 voxel grids using volumetric convolution.

A large-scale object non-Lambertian intrinsics database based on ShapeNet, a large-scale 3D shape dataset.

The dataset used in this paper for 3D mesh analysis, including ModelNet40 and ShapeNet.

The ObMan dataset is a large synthetic dataset produced by rendering hand meshes with selected objects from ShapeNet.

The dataset used in the paper is ShapeNet-13, a collection of 3D models of objects

The Scan2CAD dataset contains object-level human-generated annotations. The annotations include category label, segmentation, a similar CAD model in ShapeNet, and the...

A dataset for 3D shape generation, using ShapeNet Core V2

A dataset for 3D shape generation, using the five shape categories selected from ShapeNet Core V1

The ShapeNet part dataset contains 16,881 shapes from 16 classes and 50 parts in total.

The nf2vec dataset is used for training the meta-encoder of LLaNA.

The ShapeNeRF–Text dataset consists of 40K paired NeRFs and language annotations for ShapeNet objects.

The ShapeNet55 dataset was first created by PoinTr [40]. The training set contains 41,952 objects, while test set contains 10,518 objects.

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.

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

MultiShapeNet is a 3D dataset featuring scenes populated by 2-4 objects from the ShapeNetV2 dataset.

The dataset used in the paper is ShapeNetPart, a synthetic dataset for 3D object part segmentation. It contains 16,881 models from 16 categories.