45 datasets found

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

Deformed Implicit Field (DIF) representation for modeling 3D shapes of a category and generating dense correspondences among shapes.

The CAMO dataset contains 3D point clouds of objects from CAD models.

A benchmark for fine-grained segmentation of 3D shapes, consisting of 3000 3D shapes over six shape categories: chair, table, airplanes, sofa, helicopter, and bike.

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

The dataset used in the paper for non-rigid 3D shape retrieval.

The dataset used in the paper for cross-modal 3D shape retrieval.

The dataset used in the paper for cross-domain 3D shape retrieval.

MaPa: Text-driven Photorealistic Material Painting for 3D Shapes

The dataset used in the paper is 3DShapes, which is a 3D shape dataset.

The SHREC 2019 Correspondence Dataset is a benchmark for 3D shape correspondence. It contains 50 pairs of models with varying degrees of deformation.

The SHREC 2019 Isometric and Non-Isometric Shape Correspondence dataset is a benchmark for 3D shape correspondence. It contains 100 models with varying degrees of deformation.

The SHREC '11 dataset is a benchmark for 3D shape retrieval and classification. It contains 30 shape categories.

The dataset used in this paper is a collection of 3D shapes with the same connectivity to train the network.

The dataset used in this paper is a collection of 3D shapes with the same connectivity to train the network.

The dataset used in this paper is a collection of 3D shapes with the same connectivity to train the network.

The dataset used in this paper is a collection of 3D shapes with the same connectivity to train the network.

The dataset used in this paper is a collection of 3D shapes with the same connectivity to train the network.

3D shape analysis is an important research topic in computer vision and graphics. The dataset used in this paper is a collection of 3D shapes with the same connectivity to train...

The Learning to predict 3D surfaces of sculptures from single and multiple views dataset is a dataset for predicting 3D shapes of sculptures from a single or multiple images.