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
S3Net: Innovating Stereo Matching and Semantic Segmentation with a Single-Branch Semantic Stereo Network in Satellite Epipolar ImageryCode1
Global Occlusion-Aware Transformer for Robust Stereo MatchingCode1
Color Agnostic Cross-Spectral Disparity EstimationCode0
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context—0
SOccDPT: Semi-Supervised 3D Semantic Occupancy from Dense Prediction Transformers trained under memory constraints—0
Learning based Deep Disentangling Light Field Reconstruction and Disparity Estimation Application—0
Online Adaptive Disparity Estimation for Dynamic Scenes in Structured Light Systems—0
TIDE: Temporally Incremental Disparity Estimation via Pattern Flow in Structured Light SystemCode0
IFAST: Weakly Supervised Interpretable Face Anti-spoofing from Single-shot Binocular NIR Images—0
Blur aware metric depth estimation with multi-focus plenoptic camerasCode1
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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