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 71–80 of 162 papers

TitleStatusHype
MobileStereoNet: Towards Lightweight Deep Networks for Stereo MatchingCode1
SCV-Stereo: Learning Stereo Matching from a Sparse Cost Volume—0
DDCNet: Deep Dilated Convolutional Neural Network for Dense Prediction—0
Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity EstimationCode1
Semi-Supervised Disparity Estimation with Deep Feature Reconstruction—0
SBEVNet: End-to-End Deep Stereo Layout EstimationCode1
A Decomposition Model for Stereo MatchingCode0
CodedStereo: Learned Phase Masks for Large Depth-of-field Stereo—0
CFNet: Cascade and Fused Cost Volume for Robust Stereo MatchingCode1
SMD-Nets: Stereo Mixture Density NetworksCode1
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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