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Point cloud registration on KITTI odometry (sequences 8-10)

100Success RateCAST
15.208837.221959.23581.2481Mar 6, 2020Feb 23, 2021Feb 12, 2022Feb 1, 2023Jan 21, 2024Jan 9, 2025Dec 29, 2025

Evaluation results

MethodLinks
CASTPublication=This Paper2024.10100————2.50.27
D3FeatPreprocessing=30cm voxel downsampling2020.0399.816.90.30.240.06——
D3Feat*Notes=Reproduced/evaluated following D3Feat protocol2020.1199.87.2—0.3———
PREDATORSampling strategy=random2020.1199.88.8—0.34———
PREDATORSampling strategy=prob. (om) biased2020.1199.86.8—0.27———
D3Feat2022.0199.87.2—0.3———
PREDATOR2022.0199.86.8—0.27———
CoFiNet2022.0199.88.5—0.41———
GeoTransformerPost-processing strategy=RANSAC2022.0199.87.4—0.27———
GeoTransformerPost-processing strategy=LGR2022.0199.86.8—0.24———
GCNetAblation=without Geometry-Guided Encoding (GGF) module2022.0199.86.3—0.25———
GCNetAblation=Full model2022.0199.86.1—0.26———
D3FeatRegistration mechanism=RANSAC-based2023.0799.8————7.20.3
PredatorRegistration mechanism=RANSAC-based2023.0799.8————6.80.27
CoFiNetRegistration mechanism=RANSAC-based2023.0799.8————8.20.41
GeoTransformerRegistration mechanism=RANSAC-based, Registration strategy=RANSAC-50k2023.0799.8————7.40.27
GeoTransformerRegistration mechanism=RANSAC-free, Registration strategy=LGR2023.0799.8————6.80.24
D3FeatEstimator Type=RANSAC-based2022.0299.8————7.20.3
PredatorEstimator Type=RANSAC-based2022.0299.8————6.80.27
CoFiNetEstimator Type=RANSAC-based2022.0299.8————8.20.41
GeoTransformerEstimator Type=RANSAC-based, RANSAC iterations=50k2022.0299.8————7.40.27
GeoTransformerEstimator Type=RANSAC-free, Method Variation=LGR2022.0299.8————6.80.24
D3FeatPublication=CVPR 20202024.1099.8————7.20.3
PredatorPublication=CVPR 20212024.1099.8————6.80.27
CoFiNetPublication=NeurIPS 20212024.1099.8————8.20.41
GeoTransformerPublication=CVPR 20222024.1099.8————6.80.24
OIF-NetPublication=NeurIPS 20222024.1099.8————6.50.23
PEALPublication=CVPR 20232024.1099.8————6.80.23
DiffusionPCRPublication=CVPR 20242024.1099.8————6.30.23
D3Feat2025.1299.8————7.20.3
PredatorTime (s)=0.692025.1299.8————6.80.27
CoFiNetTime (s)=0.652025.1299.8————8.20.41
BUFFERTime (s)=0.302025.1299.8————7.10.26
GeoTransTime (s)=0.312025.1299.8————6.20.23
MCI-NetTime (s)=0.232025.1299.8————50.23
HRegNet2022.0199.712—0.29———
HRegNetRegistration mechanism=RANSAC-free2023.0799.7————120.29
HRegNetEstimator Type=RANSAC-free2022.0299.7————120.29
MACPublication=CVPR 20232024.1099.5————8.50.4
SpinNetRegistration mechanism=RANSAC-based2023.0799.1————9.90.47
SpinNetEstimator Type=RANSAC-based2022.0299.1————9.90.47
SpinNetPublication=CVPR 20212024.1099.1————9.90.47
SpinNetTime (s)=14.572025.1299.1————9.90.47
DGRRegistration mechanism=RANSAC-free2023.0798.7————320.37
DGREstimator Type=RANSAC-free2022.0298.7————320.37
FCGF2020.1196.69.5—0.3———
FCGF2022.0196.69.5—0.3———
FCGFRegistration mechanism=RANSAC-based2023.0796.6————9.50.3
FCGFEstimator Type=RANSAC-based2022.0296.6————9.50.3
FCGFPublication=ICCV 20192024.1096.6————9.50.3
FCGFTime (s)=0.182025.1296.6————9.50.3
FCGFImplementation=Authors' implementation trained on KITTI2020.0396.579.521.30.30.28——
3DFeat-Net2020.119625.9—0.57———
3DFeat-Net2022.019625.9—0.57———
3DFeat-NetRegistration mechanism=RANSAC-based2023.0796————25.90.25
3DFeat-NetEstimator Type=RANSAC-based2022.0296————25.90.25
3DFeat-NetPublication=ECCV 20182024.1096————25.90.25
3DFeat-Net2020.0395.9725.926.20.570.46——
GeoTransformerTraining dataset=3DMatch2022.1190.63154.27—0.54———
FMRRegistration mechanism=RANSAC-free2023.0790.6————661.49
FMREstimator Type=RANSAC-free2022.0290.6————651.49
BaselineTraining dataset=3DMatch, Voxel resolution (VR)=75cm, Euler angle range (gamma)=90°, Angle step (S)=15°2022.1190.274.68—0.13———
FCGF+YOHO-CTraining dataset=3DMatch, Variant=YOHO-C2022.1182.1639.3—1.38———
SpinNetTraining dataset=3DMatch, Source=taken from [2]2022.1181.4415.6—0.98———
FCGF+YOHO-OTraining dataset=3DMatch, Variant=YOHO-O2022.1181.4454.25—1.99———
FCGF+PointDSCTraining dataset=3DMatch, Matcher=PointDSC2022.1166.13107.71—0.88———
DIPTraining dataset=3DMatch2022.1151.7113.43—1.02———
D3Feat-predTraining dataset=3DMatch, Variant=predicted keypoints, Source=taken from [2]2022.1136.7631.6—1.44———
FCGFTraining dataset=3DMatch, Source=taken from [2]2022.1124.1927.1—1.61———
D3Feat-randTraining dataset=3DMatch, Variant=random sampling, Source=taken from [2]2022.1118.4737.8—1.58———