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Stereo Depth Estimation

Papers

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Showing 1–50 of 97 papers

TitleStatusHype
Cameras as Relative Positional Encoding—0
SpikeStereoNet: A Brain-Inspired Framework for Stereo Depth Estimation from Spike Streams—0
M3Depth: Wavelet-Enhanced Depth Estimation on Mars via Mutual Boosting of Dual-Modal Data—0
DERD-Net: Learning Depth from Event-based Ray DensitiesCode0
Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation ModelCode1
Deep Depth Estimation from Thermal Image: Dataset, Benchmark, and ChallengesCode1
USAM-Net: A U-Net-based Network for Improved Stereo Correspondence and Scene Depth Estimation using Features from a Pre-trained Image Segmentation network—0
SteROI-D: System Design and Mapping for Stereo Depth Inference on Regions of Interest—0
FoundationStereo: Zero-Shot Stereo MatchingCode7
Rectification-specific Supervision and Constrained Estimator for Online Stereo Rectification—0
Learned Binocular-Encoding Optics for RGBD Imaging Using Joint Stereo and Focus Cues—0
Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos—0
Dual Exposure Stereo for Extended Dynamic Range 3D Imaging—0
Helvipad: A Real-World Dataset for Omnidirectional Stereo Depth EstimationCode1
Efficient Depth Estimation for Unstable Stereo Camera Systems on AR GlassesCode1
SE(3) Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation—0
Adaptive Stereo Depth Estimation with Multi-Spectral Images Across All Lighting Conditions—0
EndoPerfect: High-Accuracy Monocular Depth Estimation and 3D Reconstruction for Endoscopic Surgery via NeRF-Stereo Fusion—0
Event-based Stereo Depth Estimation: A SurveyCode2
Depth Estimation Based on 3D Gaussian Splatting Siamese Defocus—0
FIReStereo: Forest InfraRed Stereo Dataset for UAS Depth Perception in Visually Degraded Environments—0
UniTT-Stereo: Unified Training of Transformer for Enhanced Stereo Matching—0
Cross-spectral Gated-RGB Stereo Depth Estimation—0
Dusk Till Dawn: Self-supervised Nighttime Stereo Depth Estimation using Visual Foundation ModelsCode1
MoCha-Stereo: Motif Channel Attention Network for Stereo MatchingCode2
Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian SplattingCode7
FoVA-Depth: Field-of-View Agnostic Depth Estimation for Cross-Dataset Generalization—0
Icy Moon Surface Simulation and Stereo Depth Estimation for Sampling AutonomyCode0
ARAI-MVSNet: A multi-view stereo depth estimation network with adaptive depth range and depth intervalCode1
FusionDepth: Complement Self-Supervised Monocular Depth Estimation with Cost Volume—0
Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and StereoCode1
DPS-Net: Deep Polarimetric Stereo Depth Estimation—0
Energy-Efficient Adaptive 3D SensingCode1
Deep Depth Estimation From Thermal ImageCode0
Depth Estimation maps of lidar and stereo images—0
A Practical Stereo Depth System for Smart GlassesCode1
Unifying Flow, Stereo and Depth EstimationCode3
2T-UNET: A Two-Tower UNet with Depth Clues for Robust Stereo Depth Estimation—0
Context-Enhanced Stereo TransformerCode1
Event-based Stereo Depth Estimation from Ego-motion using Ray Density FusionCode1
Uncertainty Guided Depth Fusion for Spike Camera—0
Accurate and Real-time Pseudo Lidar Detection: Is Stereo Neural Network Really Necessary?—0
MEStereo-Du2CNN: A Novel Dual Channel CNN for Learning Robust Depth Estimates from Multi-exposure Stereo Images for HDR 3D Applications—0
Analysis & Computational Complexity Reduction of Monocular and Stereo Depth Estimation TechniquesCode0
Efficient Stereo Depth Estimation for Pseudo LiDAR: A Self-Supervised Approach Based on Multi-Input ResNet Encoder—0
StaSiS-Net: a stacked and siamese stereo network for depth reconstruction in modern 3D laparoscopy.Code1
Attention Concatenation Volume for Accurate and Efficient Stereo MatchingCode2
Chitransformer: Towards Reliable Stereo From CuesCode1
TriStereoNet: A Trinocular Framework for Multi-baseline Disparity EstimationCode1
Temporally Consistent Online Depth Estimation in Dynamic Scenes—0
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All datasetsKITTI2015SpringsceneflowKITTI 2015KITTI2012

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AnyNet three pixel error6.2—Unverified
22D-MobileStereoNetthree pixel error2.67—Unverified
3HITNETthree pixel error2.43—Unverified
4TriStereoNetD1-all All2.35—Unverified
5CDN-GANet Deepthree pixel error1.92—Unverified
63D-MobileStereoNetthree pixel error1.69—Unverified
#ModelMetricClaimedVerifiedStatus
1GA-Net1px total23.23—Unverified
2LEA-Stereo1px total19.89—Unverified
3RAFT-Stereo1px total15.27—Unverified
4ACVNet1px total14.77—Unverified
#ModelMetricClaimedVerifiedStatus
12D-MobileStereoNetAverage End-Point Error1.14—Unverified
2stereonetAverage End-Point Error1.1—Unverified
33D-MobileStereoNetAverage End-Point Error0.8—Unverified
#ModelMetricClaimedVerifiedStatus
1TriStereoNetD1-all All2.35—Unverified
2MoCha-StereoD1-all All1.53—Unverified
#ModelMetricClaimedVerifiedStatus
1AnyNet three pixel error6.1—Unverified