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
Eye2Eye: A Simple Approach for Monocular-to-Stereo Video Synthesis—0
EV-MGDispNet: Motion-Guided Event-Based Stereo Disparity Estimation Network with Left-Right Consistency—0
Estimating disparity with confidence from energy neurons—0
Continuous Cost Aggregation for Dual-Pixel Disparity Extraction—0
A Novel Factor Graph-Based Optimization Technique for Stereo Correspondence Estimation—0
End-to-End Learning of Multi-scale Convolutional Neural Network for Stereo Matching—0
EDNet: Efficient Disparity Estimation with Cost Volume Combination and Attention-based Spatial Residual—0
EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching and Edge Detection—0
CodedStereo: Learned Phase Masks for Large Depth-of-field Stereo—0
EdgeStereo: A Context Integrated Residual Pyramid Network for Stereo Matching—0
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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