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
RobuSTereo: Robust Zero-Shot Stereo Matching under Adverse Weather—0
ESMStereo: Enhanced ShuffleMixer Disparity Upsampling for Real-Time and Accurate Stereo MatchingCode2
DiFuse-Net: RGB and Dual-Pixel Depth Estimation using Window Bi-directional Parallax Attention and Cross-modal Transfer Learning—0
Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images—0
DispBench: Benchmarking Disparity Estimation to Synthetic CorruptionsCode0
Eye2Eye: A Simple Approach for Monocular-to-Stereo Video Synthesis—0
DEFOM-Stereo: Depth Foundation Model Based Stereo MatchingCode3
All-directional Disparity Estimation for Real-world QPD Images—0
GBC-Splat: Generalizable Gaussian-Based Clothed Human Digitalization under Sparse RGB Cameras—0
Revisiting Disparity from Dual-Pixel Images: Physics-Informed Lightweight Depth Estimation—0
Analysis of different disparity estimation techniques on aerial stereo image datasets—0
ImmersePro: End-to-End Stereo Video Synthesis Via Implicit Disparity LearningCode0
3D-LMVIC: Learning-based Multi-View Image Coding with 3D Gaussian Geometric PriorsCode1
Disparity Estimation Using a Quad-Pixel SensorCode1
Fast Edge-Aware Occlusion Detection in the Context of Multispectral Camera ArraysCode0
EV-MGDispNet: Motion-Guided Event-Based Stereo Disparity Estimation Network with Left-Right Consistency—0
EMatch: A Unified Framework for Event-based Optical Flow and Stereo Matching—0
Stereo Risk: A Continuous Modeling Approach to Stereo Matching—0
Multispectral Snapshot Image Registration Using Learned Cross Spectral Disparity Estimation and a Deep Guided Occlusion Reconstruction NetworkCode0
Rectified Iterative Disparity for Stereo Matching—0
SR-Stereo & DAPE: Stepwise Regression and Pre-trained Edges for Practical Stereo MatchingCode0
VHS: High-Resolution Iterative Stereo Matching with Visual Hull Priors—0
Multi-view Disparity Estimation Using a Novel Gradient Consistency Model—0
MoCha-Stereo: Motif Channel Attention Network for Stereo MatchingCode2
Iterative Occlusion-Aware Light Field Depth Estimation using 4D Geometrical Cues—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