Dense Pixel Correspondence Estimation
14 papers with code • 4 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in Dense Pixel Correspondence Estimation
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
|||||
|
|||||
|
|||||
|
Libraries
Use these libraries to find Dense Pixel Correspondence Estimation models and implementations
KITTI
HPatches
ETH3D
Latest papers
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
It then uses the warped features and features of the first image to construct a cost volume, which is processed by a CNN to estimate the optical flow.
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
NVIDIA/flownet2-pytorch
•
•
CVPR 2017
Particularly on small displacements and real-world data, FlowNet cannot compete with variational methods.
Optical Flow Estimation using a Spatial Pyramid Network
philferriere/tfoptflow
•
•
CVPR 2017
We learn to compute optical flow by combining a classical spatial-pyramid formulation with deep learning.
DeepMatching: Hierarchical Deformable Dense Matching
vwegn/dm
•
•
We introduce a novel matching algorithm, called DeepMatching, to compute dense correspondences between images.
