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
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Libraries
Use these libraries to find Dense Pixel Correspondence Estimation models and implementations
KITTI
HPatches
ETH3D
Latest papers
GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS data
Nighttime semantic segmentation is especially challenging due to a lack of annotated nighttime images and a large domain gap from daytime images with sufficient annotation.
GAN-Supervised Dense Visual Alignment
wpeebles/gangealing
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CVPR 2022
We propose GAN-Supervised Learning, a framework for learning discriminative models and their GAN-generated training data jointly end-to-end.
Deep Matching Prior: Test-Time Optimization for Dense Correspondence
Conventional techniques to establish dense correspondences across visually or semantically similar images focused on designing a task-specific matching prior, which is difficult to model.
Warp Consistency for Unsupervised Learning of Dense Correspondences
PruneTruong/DenseMatching
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ICCV 2021
From our observations and empirical results, we design a general unsupervised objective employing two of the derived constraints.
COTR: Correspondence Transformer for Matching Across Images
We propose a novel framework for finding correspondences in images based on a deep neural network that, given two images and a query point in one of them, finds its correspondence in the other.
Learning Accurate Dense Correspondences and When to Trust Them
PruneTruong/DenseMatching
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CVPR 2021
Establishing dense correspondences between a pair of images is an important and general problem.
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network
PruneTruong/GLU-Net
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NeurIPS 2020
We propose GOCor, a fully differentiable dense matching module, acting as a direct replacement to the feature correlation layer.
Space-Time Correspondence as a Contrastive Random Walk
ajabri/videowalk
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NeurIPS 2020
We cast correspondence as prediction of links in a space-time graph constructed from video.
GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences
PruneTruong/GLU-Net
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CVPR 2020
Establishing dense correspondences between a pair of images is an important and general problem, covering geometric matching, optical flow and semantic correspondences.
DGC-Net: Dense Geometric Correspondence Network
This paper addresses the challenge of dense pixel correspondence estimation between two images.
