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

Showing 110 of 162 papers

TitleStatusHype
DEFOM-Stereo: Depth Foundation Model Based Stereo MatchingCode3
ESMStereo: Enhanced ShuffleMixer Disparity Upsampling for Real-Time and Accurate Stereo MatchingCode2
MoCha-Stereo: Motif Channel Attention Network for Stereo MatchingCode2
X-maps: Direct Depth Lookup for Event-based Structured Light SystemsCode2
3D-LMVIC: Learning-based Multi-View Image Coding with 3D Gaussian Geometric PriorsCode1
Disparity Estimation Using a Quad-Pixel SensorCode1
An evaluation of Deep Learning based stereo dense matching dataset shift from aerial images and a large scale stereo datasetCode1
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
Blur aware metric depth estimation with multi-focus plenoptic camerasCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)62.05Unverified
#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)53.3Unverified
#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)74.77Unverified
#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)17.75Unverified