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
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow EstimationCode1
Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity EstimationCode1
Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity EstimationCode1
SBEVNet: End-to-End Deep Stereo Layout EstimationCode1
Superpixel Segmentation with Fully Convolutional NetworksCode1
A hybrid algorithm for disparity calculation from sparse disparity estimates based on stereo visionCode0
Learning for Disparity Estimation through Feature ConstancyCode0
ImmersePro: End-to-End Stereo Video Synthesis Via Implicit Disparity LearningCode0
Learning on the Edge: Explicit Boundary Handling in CNNsCode0
Color Agnostic Cross-Spectral Disparity EstimationCode0
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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