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 126–150 of 162 papers

TitleStatusHype
AMNet: Deep Atrous Multiscale Stereo Disparity Estimation Networks—0
Multi-View Stereo by Temporal Nonparametric FusionCode0
Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context AggregationCode0
A Novel Monocular Disparity Estimation Network with Domain Transformation and Ambiguity Learning—0
EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching and Edge Detection—0
VommaNet: an End-to-End Network for Disparity Estimation from Reflective and Texture-less Light Field Images—0
Finding Correspondences for Optical Flow and Disparity Estimations using a Sub-pixel Convolution-based Encoder-Decoder Network—0
DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity Estimation from Stereo Imagery—0
Into the Twilight Zone: Depth Estimation using Joint Structure-Stereo Optimization—0
Multiple Lane Detection Algorithm Based on Optimised Dense Disparity Map Estimation—0
SegStereo: Exploiting Semantic Information for Disparity Estimation—0
Real-time on-board obstacle avoidance for UAVs based on embedded stereo vision—0
Road surface 3d reconstruction based on dense subpixel disparity map estimationCode0
Deep Material-Aware Cross-Spectral Stereo Matching—0
Light Field Intrinsics With a Deep Encoder-Decoder Network—0
Optimal Structured Light à La Carte—0
Fast Disparity Estimation using Dense NetworksCode0
Learning on the Edge: Explicit Boundary Handling in CNNsCode0
Variational Disparity Estimation Framework for Plenoptic ImageCode0
CBMV: A Coalesced Bidirectional Matching Volume for Disparity EstimationCode0
Left-Right Comparative Recurrent Model for Stereo Matching—0
EdgeStereo: A Context Integrated Residual Pyramid Network for Stereo Matching—0
Learning Light Field Reconstruction from a Single Coded Image—0
Learning for Disparity Estimation through Feature ConstancyCode0
Low Compute and Fully Parallel Computer Vision With HashMatch—0
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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