9 datasets found

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

3DCoMPaT++: An improved Large-scale 3D Vision Dataset for Compositional Recognition.

Point-BERT is a new paradigm for learning point cloud Transformers. It pre-trains standard point cloud Transformers with a Masked Point Modeling (MPM) task.

A dataset for urban scene understanding in 2D and 3D.

A benchmark suite for 3D vision tasks.

The dataset used in the paper is a multi-view image dataset, where each view is a 2D image of a 3D scene. The dataset is used to evaluate the performance of the Lift3D method,...

HexPlane: A Fast Representation for Dynamic Scenes

The dataset is a comprehensive review of over 100 transformer methods for different 3D vision tasks, including classification, segmentation, detection, completion, pose...

The dataset used in the paper is the KITTI dataset, which is a benchmark for monocular depth estimation. The dataset consists of a large collection of images and corresponding...