-
FlyingThings
A benchmark for optical flow estimation. -
NeuFlow: Real-time, High-accuracy Optical Flow Estimation on Robots
Optical flow estimation on edge devices while ensuring high accuracy. -
Flying Things 3D
Optical flow estimation for mobile and low-power use cases -
MPI Sintel and KITTI 2015
Unsupervised optical flow benchmark datasets -
KITTI 2012 dataset
The dataset used for training and testing the proposed EDNet model for efficient disparity estimation. -
Flying Chairs
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... -
FlyingThings3D dataset
The FlyingThings3D dataset is a benchmark for stereo matching, consisting of a large collection of images and corresponding disparity maps. -
Virtual KITTI 2
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
KITTI 2015 dataset contains videos in 200 street scenes captured by RGB cameras, with sparse depth ground truths captured by Velodyne laser scanner. -
Middlebury Benchmark
A naturalistic open source movie for optical flow evaluation -
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Vide...
A high-quality variable-length multi-frame interpolation method for video interpolation -
MVSEC dataset
A real-world dataset collected in indoor and outdoor scenarios with sparse optical flow labels. -
MPI Sintel
The dataset used in the paper for unsupervised single image intrinsic decomposition. -
FlyingThings3D
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... -
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.