SOTAVerified

Disparity Estimation

The Disparity Estimation is the task of finding the pixels in the multiscopic views that correspond to the same 3D point in the scene.

Papers

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Showing 21–30 of 162 papers

TitleStatusHype
Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity EstimationCode1
Blur aware metric depth estimation with multi-focus plenoptic camerasCode1
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow EstimationCode1
CFNet: Cascade and Fused Cost Volume for Robust Stereo MatchingCode1
Disparity Estimation Using a Quad-Pixel SensorCode1
PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo MatchingCode1
An evaluation of Deep Learning based stereo dense matching dataset shift from aerial images and a large scale stereo datasetCode1
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasksCode1
SMD-Nets: Stereo Mixture Density NetworksCode1
MobileStereoNet: Towards Lightweight Deep Networks for Stereo MatchingCode1
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All datasetsSintel 4D LFV - ambushfight5Sintel 4D LFV - bamboo3Sintel 4D LFV - shaman2Sintel 4D LFV - thebigfight2

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)62.05—Unverified
#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)53.3—Unverified
#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)74.77—Unverified
#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)17.75—Unverified