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 131–140 of 162 papers

TitleStatusHype
Object-Centric Stereo Matching for 3D Object Detection—0
Learning for Disparity Estimation through Feature ConstancyCode0
A hybrid algorithm for disparity calculation from sparse disparity estimates based on stereo visionCode0
Learning on the Edge: Explicit Boundary Handling in CNNsCode0
Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep LearningCode0
SR-Stereo & DAPE: Stepwise Regression and Pre-trained Edges for Practical Stereo MatchingCode0
AutoDispNet: Improving Disparity Estimation With AutoMLCode0
Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise LabelingCode0
Depth-Based Selective Blurring in Stereo Images Using Accelerated FrameworkCode0
Variational Disparity Estimation Framework for Plenoptic ImageCode0
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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