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Stereo Matching on ETH3D

0.032bad 1.0MoCha-Stereo
-3.5215220.4647444.45168.43726Apr 9, 2021Feb 21, 2022Jan 5, 2023Nov 19, 2023Oct 2, 2024Aug 16, 2025Jun 30, 2026

Evaluation results

MethodLinks
MoCha-Stereotraining=Scene Flow, zero-shot=true, fine-tuning=false2024.040.032——————
RAFT-StereoZero-shot generalization=true, Trained on=SceneFlow2024.030.033——————
IGEV-Stereotraining=Scene Flow, zero-shot=true, fine-tuning=false2024.040.036——————
NMRF (Ours)Zero-shot generalization=true, Trained on=SceneFlow2024.030.038——————
IGEV-StereoZero-shot generalization=true, Trained on=SceneFlow2024.030.04——————
CREStereo++Zero-shot generalization=true, Trained on=SceneFlow2024.030.044——————
CFNettraining=Scene Flow, zero-shot=true, fine-tuning=false2024.040.058——————
DSMNetZero-shot generalization=true, Trained on=SceneFlow2024.030.062——————
DSMNettraining=Scene Flow, zero-shot=true, fine-tuning=false2024.040.062——————
GANettraining=Scene Flow, zero-shot=true, fine-tuning=false2024.040.065——————
PSMNettraining=Scene Flow, zero-shot=true, fine-tuning=false2024.040.102——————
S2M22025.100.22—0.1—0.2——
DLNRtraining=Scene Flow, zero-shot=true, fine-tuning=false2024.040.231——————
FoundationStereo2025.100.26—0.09—0.2——
MatchAttentionXLzero-shot=true, trained on=FSD Mix2025.100.26—0.09—0.18——
LiteMatch (Base)Params=3.362026.060.33—5.01————
FoundationStereoCategory=Accurate2026.060.49—0.14————
DEFOM-Stereo2025.100.7—0.11—0.22——
DEFOM-Stereo2025.010.78—0.11—0.26——
PromptStereoCategory=Accurate2026.060.79—0.15————
MonSter++Category=Accurate2026.060.88—0.16————
AIO-Stereo2025.100.94—0.13—0.3——
LoS2025.011.03—0.15—0.34——
CREStereo2025.011.09—0.14—0.31——
MGS-Stereo2025.101.1—0.14—0.32——
CroCo-Stereo2025.011.14—0.15—0.35——
Selective-IGEV2025.101.23—0.12—0.29——
IGEV-Stereo2025.011.51—0.2—0.86——
Selective-IGEV2025.011.56—0.15—0.57——
IGEV++2025.011.58—0.19—0.74——
RT-MonSter++Category=Efficient: Iterative2026.061.77—0.21————
LAS2-LCategory=Efficient: Feed-forward2026.061.83—0.23————
Fast-FoundationStereoCategory=Efficient: Iterative2026.061.83—0.22————
LAS2-HCategory=Efficient: Iterative2026.061.83—0.22————
MonSterPub.=CVPR-25, MP/BB=MP, Monocular Depth Prior=true2026.062—388.8————
LiteMatchParams=9.582026.062.05——————
GMStereo2025.012.07—0.21—0.44——
SMoEStereoPub.=ICCV-25, MP/BB=MP, Monocular Depth Prior=true2026.062.1—113.6————
DKT-RAFTcheckpoint=ours2024.032.28——————
DEFOM-StereoBackbone=ViT-L, Zero-shot=true, Pre-trained on Scene Flow=true2025.012.35——————
LAS2-MCategory=Efficient: Feed-forward2026.062.59—0.27————
RAFT-Stereo2025.012.6—0.19—0.42——
DEFOM-StereoPub.=CVPR-25, MP/BB=MP, Monocular Depth Prior=true2026.062.6—374.4————
DEFOM-StereoBackbone=ViT-S, Zero-shot=true, Pre-trained on Scene Flow=true2025.012.61——————
HITNet2025.013.11—0.22—0.55——
RAFT-Stereosetting=zero-shot2026.053.2——————
RAFT-StereoZero-shot=true, Pre-trained on Scene Flow=true2025.013.28——————
RAFT-StereoPub.=3DV-212026.063.3——————
LAS2-SCategory=Efficient: Feed-forward2026.063.34—0.32————
Selective-IGEVCategory=Accurate, Reference=[15]2026.063.4——————
LASCategory=Efficient: Feed-forward2026.063.53—0.32————
TSCA-Stereosetting=zero-shot2026.053.55——————
IGEV-Stereosetting=zero-shot2026.053.6——————
CFNetadaptation=none, Robust Vision Challenge 2020 context=true2021.043.70.970.261———
CFNetadaptation=none, top methods in the past two years context=true2021.043.70.970.261———
NMRF-StereoZero-shot=true, Pre-trained on Scene Flow=true2025.013.8——————
StereoAnything-LCategory=Efficient: Feed-forward, Training=30M pseudo-labeled samples2026.063.81—0.31————
Deeppruneradaptation=none, top methods in the past two years context=true2021.043.821.040.282———
Mocha-StereoZero-shot=true, Pre-trained on Scene Flow=true2025.013.89——————
IGEV-StereoPub.=CVPR-23, MP/BB=BB2026.064——————
Mocha-StereoPub.=CVPR-24, MP/BB=BB2026.064.02——————
IGEV-StereoZero-shot=true, Pre-trained on Scene Flow=true2025.014.05——————
NLCANet_V2adaptation=none, Robust Vision Challenge 2020 context=true2021.044.111.20.292———
DKT-IGEVcheckpoint=ours2024.034.23——————
Selective-RAFTZero-shot=true, Pre-trained on Scene Flow=true2025.014.36——————
HSMNetadaptation=none, Robust Vision Challenge 2020 context=true2021.044.41.510.283———
LightStereo-LCategory=Efficient: Feed-forward2026.064.44—0.35————
iResNetadaptation=none, top methods in the past two years context=true2021.044.671.220.273———
CVANetadaptation=none, Robust Vision Challenge 2020 context=true2021.044.681.370.344———
BANet-3DCategory=Efficient: Feed-forward2026.064.82—0.36————
Fast-ACVNet+Category=Efficient: Feed-forward2026.064.92—0.36————
Lite-CREStereo++Category=Efficient: Iterative2026.064.92—0.63————
LightStereo-MCategory=Efficient: Feed-forward2026.065.33—0.41————
AANetadaptation=none, Robust Vision Challenge 2020 context=true2021.045.411.950.335———
BANet-2DCategory=Efficient: Feed-forward2026.065.92—0.38————
Selective-IGEVZero-shot=true, Pre-trained on Scene Flow=true2025.016.07——————
Selective-IGEVPub.=CVPR-24, MP/BB=BB2026.066.1——————
DSMNetZero-shot=true, Pre-trained on Scene Flow=true2025.016.2——————
DSMNetsetting=zero-shot2026.056.2——————
GANetsetting=zero-shot2026.056.5——————
GANetadaptation=none, Robust Vision Challenge 2020 context=true2021.046.971.250.456———
LightStereo-SCategory=Efficient: Feed-forward2026.068.75—0.48————
PSMNetsetting=zero-shot2026.0510.2——————
GWCNetPub.=CVPR-192026.0614.1——————
GANetcheckpoint=provided by authors2024.0314.4——————
PCWNetcheckpoint=provided by authors2024.0318.27——————
DLNRZero-shot=true, Pre-trained on Scene Flow=true2025.0122.99——————
DLNRPub.=CVPR-232026.0623——————
PSMNetPub.=CVPR-182026.0623.8——————
IGEV-Stereocheckpoint=provided by authors2024.0324.28——————
DLNRcheckpoint=provided by authors2024.0326.18——————
GWCNetcheckpoint=provided by authors2024.0331.87——————
CGF-ACVcheckpoint=provided by authors2024.0336.92——————
RAFT-Stereocheckpoint=provided by authors2024.0340.43——————
PSMNetcheckpoint=provided by authors2024.0388.87——————
CFNetEvaluation Protocol=Zero-shot, Weights Source=Authors' weights2024.03——5.47————
CFNetEvaluation Protocol=Fine-tuned, Weights Source=Reproduced from online submission setting2024.03——79.98————
CREStereoTraining Size=200k, Base Model=RAFT-Stereo2026.04——0.28——3.85—
CREStereo++zero-shot=true2026.05——————4.4
CREStereo++2026.06——7.28———4.4