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ETH3D dataset
The ETH3D dataset is a large-scale dataset for multi-view stereo reconstruction. It contains 120 scenes with complex geometric layouts. -
Middlebury and ETH3D datasets
The Middlebury and ETH3D datasets are used for stereo matching and 3D reconstruction tasks. -
KITTI 2015 and KITTI 2012 datasets
The KITTI 2015 and KITTI 2012 datasets are used for stereo matching and object detection tasks. -
Zoom and Learn
The dataset used for zoom and learn, a method for generalizing deep stereo matching. -
KITTI 2012 dataset
The dataset used for training and testing the proposed EDNet model for efficient disparity estimation. -
Middlebury 2014
The Middlebury 2014 dataset is a benchmark for stereo matching, consisting of 33 pairs of stereo images with sparse depth ground truth. -
ETH3D Stereo Dataset
A benchmark for stereo matching, consisting of 50 stereo pairs with ground truth disparity maps. -
Middlebury Stereo Dataset v3
A benchmark for stereo matching, consisting of 11 stereo pairs with ground truth disparity maps. -
KITTI 2012 Stereo Vision Benchmark
A benchmark for stereo matching, consisting of 75 stereo pairs with ground truth disparity maps. -
FlyingThings3D dataset
The FlyingThings3D dataset is a benchmark for stereo matching, consisting of a large collection of images and corresponding disparity maps. -
KITTI 2012 and 2015 datasets
The KITTI 2012 and 2015 datasets are used for stereo matching experiments. -
KITTI 2015 dataset
KITTI 2015 dataset contains videos in 200 street scenes captured by RGB cameras, with sparse depth ground truths captured by Velodyne laser scanner. -
DTU dataset
The DTU dataset is a large-scale dataset for multi-view stereo depth inference. It contains over 100 scans taken under 7 different lighting conditions and fixed camera... -
Object Scene Flow
Object scene flow is a dataset for stereo matching and optical flow estimation. -
MSDC-Net: Multi-Scale Dense and Contextual Networks for Automated Disparity M...
Disparity prediction from stereo images is essential to computer vision applications including autonomous driving, 3D model reconstruction, and object detection. -
KITTI dataset
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... -
Scene Flow
Stereo matching aims to recover the dense reconstruction of unknown scenes by computing the disparity from rectified stereo images, helping robots intelligently interact with...
