26 datasets found

ScaleRAFT: Cross-Scale Recurrent All-Pairs Field Transforms for 3D Motion Estimation

A benchmark for optical flow estimation.

Optical flow estimation on edge devices while ensuring high accuracy.

A convolutional neural network for optical flow estimation using pyramid, warping, and cost volume.

Optical flow estimation for mobile and low-power use cases

Unsupervised optical flow benchmark datasets

The dataset used for training and testing the proposed EDNet model for efficient disparity estimation.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors applied their approach to the challenging problem of optical flow estimation and...

The FlyingThings3D dataset is a benchmark for stereo matching, consisting of a large collection of images and corresponding disparity maps.

The dataset used in the paper is the Pendulum dataset, which is a continuous control problem.

The Virtual KITTI 2 dataset is a synthetic clone of the real KITTI dataset, containing 5 sequence clones of Scene 01, 02, 06, 18 and 20, and nine variants with diverse weather...

KITTI 2015 dataset contains videos in 200 street scenes captured by RGB cameras, with sparse depth ground truths captured by Velodyne laser scanner.

A naturalistic open source movie for optical flow evaluation

A high-quality variable-length multi-frame interpolation method for video interpolation

Large dataset for stereo matching, optical flow, and scene flow estimation

The DAVIS dataset is a widely used dataset for video-related tasks, consisting of approximately 2000 frames from 26 human-centric scenarios.

A real-world dataset collected in indoor and outdoor scenarios with sparse optical flow labels.

The dataset used in the paper for unsupervised single image intrinsic decomposition.

Dense pixel matching is required for many computer vision algorithms such as disparity, optical flow or scene flow estimation. Feature Pyramid Networks (FPN) have proven to be a...

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.