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 41–50 of 162 papers

TitleStatusHype
Video Frame Interpolation with Stereo Event and Intensity Camera—0
Continuous Cost Aggregation for Dual-Pixel Disparity Extraction—0
Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression TasksCode0
OccCasNet: Occlusion-aware Cascade Cost Volume for Light Field Depth EstimationCode1
VisiTherS: Visible-thermal infrared stereo disparity estimation of human silhouetteCode0
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasksCode1
Unsupervised Light Field Depth Estimation via Multi-view Feature Matching with Occlusion Prediction—0
Regularizing disparity estimation via multi task learning with structured light reconstruction—0
Spatio-Focal Bidirectional Disparity Estimation From a Dual-Pixel Image—0
Unsupervised Deep Asymmetric Stereo Matching With Spatially-Adaptive Self-Similarity—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