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 1–50 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
Passive Snapshot Coded Aperture Dual-Pixel RGB-D Imaging—0
Digging Into Normal Incorporated Stereo MatchingCode0
An evaluation of Deep Learning based stereo dense matching dataset shift from aerial images and a large scale stereo datasetCode1
X-maps: Direct Depth Lookup for Event-based Structured Light SystemsCode2
Left-right Discrepancy for Adversarial Attack on Stereo Networks—0
S3Net: Innovating Stereo Matching and Semantic Segmentation with a Single-Branch Semantic Stereo Network in Satellite Epipolar ImageryCode1
Global Occlusion-Aware Transformer for Robust Stereo MatchingCode1
Color Agnostic Cross-Spectral Disparity EstimationCode0
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context—0
SOccDPT: Semi-Supervised 3D Semantic Occupancy from Dense Prediction Transformers trained under memory constraints—0
Learning based Deep Disentangling Light Field Reconstruction and Disparity Estimation Application—0
Online Adaptive Disparity Estimation for Dynamic Scenes in Structured Light Systems—0
TIDE: Temporally Incremental Disparity Estimation via Pattern Flow in Structured Light SystemCode0
IFAST: Weakly Supervised Interpretable Face Anti-spoofing from Single-shot Binocular NIR Images—0
Blur aware metric depth estimation with multi-focus plenoptic camerasCode1
Video Frame Interpolation with Stereo Event and Intensity Camera—0
Continuous Cost Aggregation for Dual-Pixel Disparity Extraction—0
Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression TasksCode0
OccCasNet: Occlusion-aware Cascade Cost Volume for Light Field Depth EstimationCode1
VisiTherS: Visible-thermal infrared stereo disparity estimation of human silhouetteCode0
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasksCode1
Unsupervised Light Field Depth Estimation via Multi-view Feature Matching with Occlusion Prediction—0
Regularizing disparity estimation via multi task learning with structured light reconstruction—0
Spatio-Focal Bidirectional Disparity Estimation From a Dual-Pixel Image—0
Unsupervised Deep Asymmetric Stereo Matching With Spatially-Adaptive Self-Similarity—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