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Flickr1024
Stereo image super-resolution aims to improve the quality of high-resolution stereo image pairs by exploiting complementary information across views. -
Sintel Dataset
The dataset used in the paper is a Sintel dataset, which consists of low-resolution optical flow maps and their corresponding high-resolution RGB images. -
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... -
Leibniz University Hannover
Imported
i.c.sens Stereo Image Vehicle Dataset
The i.c.sens Stereo Image Vehicle Dataset is a dataset for vehicle detection, pose estimation, and reconstruction. It consists of street-level stereo images and delivers...