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 11–20 of 162 papers

TitleStatusHype
OccCasNet: Occlusion-aware Cascade Cost Volume for Light Field Depth EstimationCode1
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasksCode1
Bidirectional Semi-supervised Dual-branch CNN for Robust 3D Reconstruction of Stereo Endoscopic Images via Adaptive Cross and Parallel SupervisionsCode1
Stereoscopic Universal Perturbations across Different Architectures and DatasetsCode1
TriStereoNet: A Trinocular Framework for Multi-baseline Disparity EstimationCode1
Stereo Hybrid Event-Frame (SHEF) Cameras for 3D PerceptionCode1
MobileStereoNet: Towards Lightweight Deep Networks for Stereo MatchingCode1
Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity EstimationCode1
SBEVNet: End-to-End Deep Stereo Layout EstimationCode1
CFNet: Cascade and Fused Cost Volume for Robust Stereo MatchingCode1
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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