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 151–162 of 162 papers

TitleStatusHype
Hyperspectral Light Field Stereo Matching—0
Light Field Super-Resolution Via Graph-Based Regularization—0
Shape Estimation from Defocus Cue for Microscopy Images via Belief Propagation—0
Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise LabelingCode0
Embedded real-time stereo estimation via Semi-Global Matching on the GPUCode0
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow EstimationCode1
MAP Disparity Estimation Using Hidden Markov Trees—0
Blur-Aware Disparity Estimation From Defocus Stereo Images—0
High-Performance and Tunable Stereo Reconstruction—0
Stereo under Sequential Optimal Sampling: A Statistical Analysis Framework for Search Space Reduction—0
Graph Cut based Continuous Stereo Matching using Locally Shared Labels—0
Estimating disparity with confidence from energy neurons—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