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 31–40 of 162 papers

TitleStatusHype
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow EstimationCode1
Fast Light-Field Disparity Estimation With Multi-Disparity-Scale Cost AggregationCode1
Attention-based View Selection Networks for Light-field Disparity EstimationCode1
PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo MatchingCode1
Stereo Hybrid Event-Frame (SHEF) Cameras for 3D PerceptionCode1
Deep 3D-Zoom Net: Unsupervised Learning of Photo-Realistic 3D-Zoom—0
DDCNet: Deep Dilated Convolutional Neural Network for Dense Prediction—0
A Novel Factor Graph-Based Optimization Technique for Stereo Correspondence Estimation—0
Continuous Cost Aggregation for Dual-Pixel Disparity Extraction—0
Domain Siamese CNNs for Sparse Multispectral Disparity Estimation—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