7 datasets found

A large-scale satellite depth completion dataset for training and testing spacecraft depth completion algorithms.

This work proposes a method for depth completion of sparse LiDAR data using a convolutional neural network which can be used to generate semi-dense depth maps and 3D...

The proposed method applies selective stereo matching (SSM) followed by binary anisotropic diffusion tensor (B-ADT) aided smoothing.

Depth completion from a sparse depth map guided by a single image. Our method generates a smooth depth map while preserving discontinuity between different objects.

The ClearPose Transparent Object Depth Completion dataset consists of 63 objects arranged in numerous configurations.

The dataset used in the paper is the KITTI depth completion dataset, which supplies collection of sparse LiDAR scans and corresponding semi-dense depth maps as ground truth.

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...