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 1–25 of 162 papers

TitleStatusHype
DEFOM-Stereo: Depth Foundation Model Based Stereo MatchingCode3
X-maps: Direct Depth Lookup for Event-based Structured Light SystemsCode2
ESMStereo: Enhanced ShuffleMixer Disparity Upsampling for Real-Time and Accurate Stereo MatchingCode2
MoCha-Stereo: Motif Channel Attention Network for Stereo MatchingCode2
Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity EstimationCode1
OccCasNet: Occlusion-aware Cascade Cost Volume for Light Field Depth EstimationCode1
S3Net: Innovating Stereo Matching and Semantic Segmentation with a Single-Branch Semantic Stereo Network in Satellite Epipolar ImageryCode1
Fast Light-Field Disparity Estimation With Multi-Disparity-Scale Cost AggregationCode1
Global Occlusion-Aware Transformer for Robust Stereo MatchingCode1
Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity EstimationCode1
Disparity Estimation Using a Quad-Pixel SensorCode1
MobileStereoNet: Towards Lightweight Deep Networks for Stereo MatchingCode1
An evaluation of Deep Learning based stereo dense matching dataset shift from aerial images and a large scale stereo datasetCode1
PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo MatchingCode1
3D-LMVIC: Learning-based Multi-View Image Coding with 3D Gaussian Geometric PriorsCode1
Do End-to-end Stereo Algorithms Under-utilize Information?Code1
Attention-based View Selection Networks for Light-field Disparity 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
FADNet: A Fast and Accurate Network for Disparity EstimationCode1
Depth estimation from 4D light field videosCode1
Blur aware metric depth estimation with multi-focus plenoptic camerasCode1
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow EstimationCode1
CFNet: Cascade and Fused Cost Volume for Robust Stereo MatchingCode1
IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal EstimationCode1
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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