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 111–120 of 162 papers

TitleStatusHype
Attention-based View Selection Networks for Light-field Disparity EstimationCode1
Depth-Based Selective Blurring in Stereo Images Using Accelerated FrameworkCode0
A hybrid algorithm for disparity calculation from sparse disparity estimates based on stereo visionCode0
IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal EstimationCode1
SENSE: a Shared Encoder Network for Scene-flow EstimationCode0
On the Over-Smoothing Problem of CNN Based Disparity EstimationCode0
Understanding and Robustifying Differentiable Architecture SearchCode0
Deep 3D-Zoom Net: Unsupervised Learning of Photo-Realistic 3D-Zoom—0
Object-Centric Stereo Matching for 3D Object Detection—0
Adaptive Unimodal Cost Volume Filtering for Deep Stereo MatchingCode0
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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