Point Cloud Registration

Point Cloud Registration is a fundamental problem in 3D computer vision and photogrammetry. Given several sets of points in different coordinate systems, the aim of registration is to find the transformation that best aligns all of them into a common coordinate system. Point Cloud Registration plays a significant role in many vision applications such as 3D model reconstruction, cultural heritage management, landslide monitoring and solar energy analysis.

Source: Iterative Global Similarity Points : A robust coarse-to-fine integration solution for pairwise 3D point cloud registration

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 251–300 of 447 papers

Title	Date	Tasks	Status
Diff-PCR: Diffusion-Based Correspondence Searching in Doubly Stochastic Matrix Space for Point Cloud Registration	Dec 31, 2023	DenoisingPoint Cloud Registration	—Unverified
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods	Dec 21, 2023	Domain AdaptationPoint Cloud Registration	CodeCode Available
D3Former: Jointly Learning Repeatable Dense Detectors and Feature-enhanced Descriptors via Saliency-guided Transformer	Dec 20, 2023	Point Cloud Registration	—Unverified
SPEAL: Skeletal Prior Embedded Attention Learning for Cross-Source Point Cloud Registration	Dec 14, 2023	BenchmarkingPoint Cloud Registration	—Unverified
PCRDiffusion: Diffusion Probabilistic Models for Point Cloud Registration	Dec 11, 2023	DenoisingPoint Cloud Registration	—Unverified
Adaptive Multi-step Refinement Network for Robust Point Cloud Registration	Dec 5, 2023	DenoisingPoint Cloud Registration	CodeCode Available
ZeroReg: Zero-Shot Point Cloud Registration with Foundation Models	Dec 5, 2023	DecoderGraph Matching	—Unverified
DIPR: Efficient Point Cloud Registration via Dynamic Iteration	Dec 5, 2023	GPUPoint Cloud Registration	—Unverified
Nothing Stands Still: A Spatiotemporal Benchmark on 3D Point Cloud Registration Under Large Geometric and Temporal Change	Nov 15, 2023	Point Cloud Registration	—Unverified
Transformation Decoupling Strategy based on Screw Theory for Deterministic Point Cloud Registration with Gravity Prior	Nov 2, 2023	Point Cloud Registration	CodeCode Available
HDMNet: A Hierarchical Matching Network with Double Attention for Large-scale Outdoor LiDAR Point Cloud Registration	Oct 29, 2023	Point Cloud RegistrationPose Estimation	—Unverified
DBDNet:Partial-to-Partial Point Cloud Registration with Dual Branches Decoupling	Oct 18, 2023	Point Cloud RegistrationTranslation	—Unverified
OAAFormer: Robust and Efficient Point Cloud Registration Through Overlapping-Aware Attention in Transformer	Oct 15, 2023	Point Cloud Registration	—Unverified
Partial Transport for Point-Cloud Registration	Sep 27, 2023	Computational EfficiencyPoint Cloud Registration	—Unverified
KDD-LOAM: Jointly Learned Keypoint Detector and Descriptors Assisted LiDAR Odometry and Mapping	Sep 27, 2023	Point Cloud RegistrationSelf-Supervised Learning	—Unverified
Q-REG: End-to-End Trainable Point Cloud Registration with Surface Curvature	Sep 27, 2023	Point Cloud RegistrationPose Estimation	—Unverified
CoFiI2P: Coarse-to-Fine Correspondences for Image-to-Point Cloud Registration	Sep 26, 2023	Autonomous VehiclesImage to Point Cloud Registration	—Unverified
AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration	Sep 20, 2023	Meta-LearningPoint Cloud Registration	—Unverified
FF-LOGO: Cross-Modality Point Cloud Registration with Feature Filtering and Local to Global Optimization	Sep 16, 2023	Feature Correlationglobal-optimization	CodeCode Available
Fast and Accurate Deep Loop Closing and Relocalization for Reliable LiDAR SLAM	Sep 15, 2023	Point Cloud RegistrationPose Estimation	—Unverified
A Ground Segmentation Method Based on Point Cloud Map for Unstructured Roads	Sep 15, 2023	Point Cloud RegistrationSegmentation	—Unverified
SGNet: Salient Geometric Network for Point Cloud Registration	Sep 12, 2023	Point Cloud Registration	—Unverified
Point-TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask Meta-Auxiliary Learning	Aug 31, 2023	Auxiliary LearningPoint Cloud Registration	—Unverified
In-Rack Test Tube Pose Estimation Using RGB-D Data	Aug 21, 2023	Point Cloud RegistrationPose Estimation	—Unverified
Overlap Bias Matching is Necessary for Point Cloud Registration	Aug 18, 2023	Point Cloud Registration	—Unverified
Deep Semantic Graph Matching for Large-scale Outdoor Point Clouds Registration	Aug 10, 2023	Graph MatchingPoint Cloud Registration	—Unverified
One-Nearest Neighborhood Guides Inlier Estimation for Unsupervised Point Cloud Registration	Jul 26, 2023	Model OptimizationPoint Cloud Registration	—Unverified
GeoTransformer: Fast and Robust Point Cloud Registration with Geometric Transformer	Jul 25, 2023	Image to Point Cloud RegistrationPoint Cloud Registration	CodeCode Available
ELiOT : End-to-end Lidar Odometry using Transformer Framework	Jul 22, 2023	DecoderPoint Cloud Registration	—Unverified
SphereNet: Learning a Noise-Robust and General Descriptor for Point Cloud Registration	Jul 18, 2023	Point Cloud Registration	—Unverified
Quantity-Aware Coarse-to-Fine Correspondence for Image-to-Point Cloud Registration	Jul 14, 2023	Image to Point Cloud RegistrationPoint Cloud Registration	—Unverified
A Strong Baseline for Point Cloud Registration via Direct Superpoints Matching	Jul 3, 2023	Point Cloud RegistrationRepresentation Learning	CodeCode Available
A denoised Mean Teacher for domain adaptive point cloud registration	Jun 26, 2023	Computational EfficiencyDenoising	CodeCode Available
End-to-end 2D-3D Registration between Image and LiDAR Point Cloud for Vehicle Localization	Jun 20, 2023	Image-Based LocalizationImage to Point Cloud Registration	—Unverified
PWR-Align: Leveraging Part-Whole Relationships for Part-wise Rigid Point Cloud Registration in Mixed Reality Applications	Jun 11, 2023	Mixed RealityPoint Cloud Registration	—Unverified
Robust-DefReg: A Robust Deformable Point Cloud Registration Method based on Graph Convolutional Neural Networks	Jun 7, 2023	Computational EfficiencyPoint Cloud Registration	—Unverified
Cross-source Point Cloud Registration: Challenges, Progress and Prospects	May 23, 2023	Point Cloud Registration	—Unverified
Efficient and Deterministic Search Strategy Based on Residual Projections for Point Cloud Registration with Correspondences	May 19, 2023	3D Feature MatchingPoint Cloud Registration	—Unverified
Non-rigid Point Cloud Registration for Middle Ear Diagnostics with Endoscopic Optical Coherence Tomography	Apr 26, 2023	DiagnosticPoint Cloud Registration	CodeCode Available
SDFReg: Learning Signed Distance Functions for Point Cloud Registration	Apr 18, 2023	Point Cloud Registration	—Unverified
HybridFusion: LiDAR and Vision Cross-Source Point Cloud Fusion	Apr 10, 2023	Point Cloud Registration	—Unverified
Self-Supervised Learning of Object Segmentation from Unlabeled RGB-D Videos	Apr 9, 2023	Contrastive LearningGraph Matching	—Unverified
DSMNet: Deep High-precision 3D Surface Modeling from Sparse Point Cloud Frames	Apr 9, 2023	Point Cloud RegistrationSimultaneous Localization and Mapping	—Unverified
kNN-Res: Residual Neural Network with kNN-Graph coherence for point cloud registration	Mar 31, 2023	Point Cloud Registration	CodeCode Available
RDMNet: Reliable Dense Matching Based Point Cloud Registration for Autonomous Driving	Mar 31, 2023	Autonomous DrivingPoint Cloud Registration	—Unverified
Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration	Mar 23, 2023	Point Cloud Registration	—Unverified
RoCNet: 3D Robust Registration of Point-Clouds using Deep Learning	Mar 14, 2023	Data AugmentationDeep Learning	—Unverified
Neural Intrinsic Embedding for Non-rigid Point Cloud Matching	Mar 2, 2023	Point Cloud RegistrationWeakly-supervised Learning	—Unverified
Point Cloud Registration for LiDAR and Photogrammetric Data: a Critical Synthesis and Performance Analysis on Classic and Deep Learning Algorithms	Feb 14, 2023	Point Cloud Registration	CodeCode Available
Graph Matching Optimization Network for Point Cloud Registration	Feb 12, 2023	Graph MatchingPoint Cloud Registration	—Unverified

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All datasets ETH (trained on 3DMatch)3DMatch Benchmark 3DMatch (at least 30% overlapped - FCGF setting)KITTI (trained on 3DMatch)3DLoMatch (10-30% overlap)3DMatch (at least 30% overlapped - sample 5k interest points)KITTI (FCGF setting)FPv1 FP-O-E FP-O-H FP-O-M FP-R-E

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Exhaustive Grid Search	Recall (30cm, 5 degrees)	94.25	—	Unverified
2	FCGF+SC2-PCR	Recall (30cm, 5 degrees)	92.85	—	Unverified
3	FPFH+SC2-PCR	Recall (30cm, 5 degrees)	85.41	—	Unverified
4	YOHO-C	Recall (30cm, 5 degrees)	84.85	—	Unverified
5	YOHO-O	Recall (30cm, 5 degrees)	79.94	—	Unverified
6	FCGF+PointDSC	Recall (30cm, 5 degrees)	77.42	—	Unverified
7	FPFH+PointDSC	Recall (30cm, 5 degrees)	41.94	—	Unverified
8	GeoTransformer	Recall (30cm, 5 degrees)	4.91	—	Unverified
9	GO-ICP	Recall (30cm, 5 degrees)	1.54	—	Unverified
10	GeDi	Feature Matching Recall	0.98	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	IMFNet	Feature Matching Recall	98.6	—	Unverified
2	MS-SVConv	Feature Matching Recall	98.4	—	Unverified
3	GeDi (no code published as of May 27 2021)	Feature Matching Recall	97.9	—	Unverified
4	SpinNet (no code published as of Dec 15 2020)	Feature Matching Recall	97.6	—	Unverified
5	LMVD	Feature Matching Recall	97.5	—	Unverified
6	DIP + Point-TnT	Feature Matching Recall	96.8	—	Unverified
7	D3Feat-Pred	Feature Matching Recall	95.8	—	Unverified
8	D3Feat-rand	Feature Matching Recall	95.3	—	Unverified
9	DIP	Feature Matching Recall	94.8	—	Unverified
10	3DSmoothNet	Feature Matching Recall	94.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GeoTransformer	Recall (0.3m, 15 degrees)	95	—	Unverified
2	NgeNet	Recall (0.3m, 15 degrees)	95	—	Unverified
3	PCAM-Sparse (All post-processing)	Recall (0.3m, 15 degrees)	92.4	—	Unverified
4	DGR (RE (all), TE(all) are reported in PCAM)	Recall (0.3m, 15 degrees)	91.3	—	Unverified
5	PCAM-Soft (All post-processing)	Recall (0.3m, 15 degrees)	91.3	—	Unverified
6	Exhaustive Grid Search	Recall (0.3m, 15 degrees)	84.11	—	Unverified
7	RANSAC-2M	Recall (0.3m, 15 degrees)	66.1	—	Unverified
8	FGR	Recall (0.3m, 15 degrees)	42.7	—	Unverified
9	Go-ICP	Recall (0.3m, 15 degrees)	22.9	—	Unverified
10	Super4PCS	Recall (0.3m, 15 degrees)	21.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GeDi	Success Rate	98.92	—	Unverified
2	FCGF+SC2-PCR	Success Rate	97.66	—	Unverified
3	FCGF+PointDSC	Success Rate	96.76	—	Unverified
4	Exhaustive Grid Search	Success Rate	94.95	—	Unverified
5	FPFH+PointDSC	Success Rate	94.05	—	Unverified
6	DIP	Success Rate	93.51	—	Unverified
7	Greedy Grid Search	Success Rate	90.27	—	Unverified
8	YOHO-C	Success Rate	82.16	—	Unverified
9	SpinNet	Success Rate	81.44	—	Unverified
10	YOHO-O	Success Rate	81.44	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CoFF	Recall ( correspondence RMSE below 0.2)	81.6	—	Unverified
2	GeoTransformer - P2PNet	Recall ( correspondence RMSE below 0.2)	74	—	Unverified
3	NgeNet	Recall ( correspondence RMSE below 0.2)	71.9	—	Unverified
4	REGTR	Recall ( correspondence RMSE below 0.2)	64.8	—	Unverified
5	Predator-1k	Recall ( correspondence RMSE below 0.2)	62.5	—	Unverified
6	Predator-5k	Recall ( correspondence RMSE below 0.2)	59.8	—	Unverified
7	PCAM (reported in REGTR)	Recall ( correspondence RMSE below 0.2)	54.9	—	Unverified
8	DGR (reported in REGTR)	Recall ( correspondence RMSE below 0.2)	48.7	—	Unverified
9	FCGF (reported in PREDATOR)	Recall ( correspondence RMSE below 0.2)	40.1	—	Unverified
10	D3Feat (reported in PREDATOR)	Recall ( correspondence RMSE below 0.2)	37.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	NgeNet	Recall ( correspondence RMSE below 0.2)	92.9	—	Unverified
2	REGTR	Recall ( correspondence RMSE below 0.2)	92	—	Unverified
3	Predator-1k	Recall ( correspondence RMSE below 0.2)	90.5	—	Unverified
4	Predator-5k	Recall ( correspondence RMSE below 0.2)	89	—	Unverified
5	PCAM (reported in REGTR)	Recall ( correspondence RMSE below 0.2)	85.5	—	Unverified
6	DGR (reported in REGTR)	Recall ( correspondence RMSE below 0.2)	85.3	—	Unverified
7	FCGF (reported in PREDATOR)	Recall ( correspondence RMSE below 0.2)	85.1	—	Unverified
8	D3Feat (reported in PREDATOR)	Recall ( correspondence RMSE below 0.2)	81.6	—	Unverified
9	3DSN (reported in PREDATOR)	Recall ( correspondence RMSE below 0.2)	78.4	—	Unverified
10	Predator-NR	Recall ( correspondence RMSE below 0.2)	62.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GeoTransformer	Recall (0.6m, 5 degrees)	99.5	—	Unverified
2	FCGF	Recall (0.6m, 5 degrees)	98.2	—	Unverified
3	DGR + ICP (RE (all), TE(all) are reported in PCAM)	Recall (0.6m, 5 degrees)	98.2	—	Unverified
4	PCAM-soft + ICP	Recall (0.6m, 5 degrees)	98	—	Unverified
5	PCAM-Sparse + ICP	Recall (0.6m, 5 degrees)	97.4	—	Unverified
6	PCAM - Soft	Recall (0.6m, 5 degrees)	97.2	—	Unverified
7	DGR (RE (all), TE(all) are reported in PCAM)	Recall (0.6m, 5 degrees)	96.9	—	Unverified
8	PCAM-Sparse	Recall (0.6m, 5 degrees)	96.5	—	Unverified
9	Exhaustive Grid Search	Recall (0.6m, 5 degrees)	94.59	—	Unverified
10	RANSAC	Recall (0.6m, 5 degrees)	34.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Greedy Grid Search	Recall (3cm, 10 degrees)	92.81	—	Unverified
2	GeoTransformer	Recall (3cm, 10 degrees)	56.15	—	Unverified
3	DIP	Recall (3cm, 10 degrees)	54.81	—	Unverified
4	FCGF + PointDSC	Recall (3cm, 10 degrees)	47.85	—	Unverified
5	SpinNet	Recall (3cm, 10 degrees)	42.46	—	Unverified
6	FCGF + YOHO-C	Recall (3cm, 10 degrees)	29.18	—	Unverified
7	FCGF + YOHO-O	Recall (3cm, 10 degrees)	18.91	—	Unverified
8	FPFH-8M	Recall (3cm, 10 degrees)	9.51	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FPFH+SC2-PCR	Recall (3cm, 10 degrees)	99.88	—	Unverified
2	GeDi	Recall (3cm, 10 degrees)	99.64	—	Unverified
3	Exhaustive Grid Search	Recall (3cm, 10 degrees)	99.47	—	Unverified
4	FCGF+SC2-PCR	Recall (3cm, 10 degrees)	98.52	—	Unverified
5	GeoTransformer	Recall (3cm, 10 degrees)	63.94	—	Unverified
6	GO-ICP	Recall (3cm, 10 degrees)	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FPFH+SC2-PCR	Recall (3cm, 10 degrees)	38.85	—	Unverified
2	Exhaustive Grid Search	Recall (3cm, 10 degrees)	37.06	—	Unverified
3	FCGF+SC2-PCR	Recall (3cm, 10 degrees)	17.8	—	Unverified
4	GeDi	Recall (3cm, 10 degrees)	8.7	—	Unverified
5	GeoTransformer	Recall (3cm, 10 degrees)	2.64	—	Unverified
6	GO-ICP	Recall (3cm, 10 degrees)	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Exhaustive Grid Search	Recall (3cm, 10 degrees)	88.06	—	Unverified
2	FPFH+SC2-PCR	Recall (3cm, 10 degrees)	84.7	—	Unverified
3	GeDi	Recall (3cm, 10 degrees)	75.4	—	Unverified
4	FCGF+SC2-PCR	Recall (3cm, 10 degrees)	63	—	Unverified
5	GeoTransformer	Recall (3cm, 10 degrees)	22.07	—	Unverified
6	GO-ICP	Recall (3cm, 10 degrees)	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GeDi	Recall (3cm, 10 degrees)	99.76	—	Unverified
2	Exhaustive Grid Search	Recall (3cm, 10 degrees)	99.64	—	Unverified
3	FPFH+SC2-PCR	Recall (3cm, 10 degrees)	99.64	—	Unverified
4	FCGF+SC2-PCR	Recall (3cm, 10 degrees)	98.46	—	Unverified
5	GeoTransformer	Recall (3cm, 10 degrees)	64.12	—	Unverified
6	GO-ICP	Recall (3cm, 10 degrees)	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GeDi	Recall (3cm, 10 degrees)	99.41	—	Unverified
2	FCGF+SC2-PCR	Recall (3cm, 10 degrees)	85.77	—	Unverified
3	Exhaustive Grid Search	Recall (3cm, 10 degrees)	78	—	Unverified
4	FPFH+SC2-PCR	Recall (3cm, 10 degrees)	75.21	—	Unverified
5	GeoTransformer	Recall (3cm, 10 degrees)	47.75	—	Unverified
6	GO-ICP	Recall (3cm, 10 degrees)	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GeDi	Recall (3cm, 10 degrees)	99.94	—	Unverified
2	Exhaustive Grid Search	Recall (3cm, 10 degrees)	97.92	—	Unverified
3	FPFH+SC2-PCR	Recall (3cm, 10 degrees)	94.54	—	Unverified
4	FCGF+SC2-PCR	Recall (3cm, 10 degrees)	91.93	—	Unverified
5	GeoTransformer	Recall (3cm, 10 degrees)	55.93	—	Unverified
6	GO-ICP	Recall (3cm, 10 degrees)	0.06	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FPFH+SC2-PCR	Recall (3cm, 10 degrees)	99.76	—	Unverified
2	Exhaustive Grid Search	Recall (3cm, 10 degrees)	99.7	—	Unverified
3	GeDi	Recall (3cm, 10 degrees)	99.47	—	Unverified
4	FCGF+SC2-PCR	Recall (3cm, 10 degrees)	98.34	—	Unverified
5	GeoTransformer	Recall (3cm, 10 degrees)	66.25	—	Unverified
6	GO-ICP	Recall (3cm, 10 degrees)	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GeDi	Recall (3cm, 10 degrees)	99.7	—	Unverified
2	FPFH+SC2-PCR	Recall (3cm, 10 degrees)	99.58	—	Unverified
3	Exhaustive Grid Search	Recall (3cm, 10 degrees)	98.81	—	Unverified
4	FCGF+SC2-PCR	Recall (3cm, 10 degrees)	98.22	—	Unverified
5	GeoTransformer	Recall (3cm, 10 degrees)	64.18	—	Unverified
6	GO-ICP	Recall (3cm, 10 degrees)	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Exhaustive Grid Search	Recall (3cm, 10 degrees)	99.82	—	Unverified
2	GeDi	Recall (3cm, 10 degrees)	99.7	—	Unverified
3	FPFH+SC2-PCR	Recall (3cm, 10 degrees)	99.53	—	Unverified
4	FCGF+SC2-PCR	Recall (3cm, 10 degrees)	98.34	—	Unverified
5	GeoTransformer	Recall (3cm, 10 degrees)	64.29	—	Unverified
6	GO-ICP	Recall (3cm, 10 degrees)	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GeDi	Success Rate	99.82	—	Unverified
2	D3Feat-pred	Success Rate	99.81	—	Unverified
3	SpinNet	Success Rate	99.1	—	Unverified
4	DIP	Success Rate	97.3	—	Unverified
5	FCGF	Success Rate	96.57	—	Unverified
6	3DFeat-Net	Success Rate	95.97	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UMERegRobust	RR@(1.5,0.3)	81.1	—	Unverified
2	GeoTransformer	RR@(1.5,0.3)	78.5	—	Unverified
3	CoFiNet	RR@(1.5,0.3)	62.5	—	Unverified
4	PREDATOR	RR@(1.5,0.3)	41.6	—	Unverified
5	GCL	RR@(1.5,0.3)	40.1	—	Unverified
6	FCGF	RR@(1.5,0.3)	11.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GeDi	Recall	0.92	—	Unverified
2	SpinNet	Recall	0.85	—	Unverified
3	D3Feat-pred	Recall	0.63	—	Unverified
4	FCGF	Recall	0.33	—	Unverified
5	FPFH	Recall	0.14	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GCL+KPConv	mRR @ Normal Criterion (1.5°&0.3m)	88.8	—	Unverified
2	GCL+Conv	mRR @ Normal Criterion (1.5°&0.3m)	83.5	—	Unverified
3	Predator+APR(a)	mRR @ Normal Criterion (1.5°&0.3m)	78.2	—	Unverified
4	FCGF+APR(s)	mRR @ Normal Criterion (1.5°&0.3m)	62.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GCL+KPConv	mRR @ Normal Criterion (1.5°&0.3m)	71.5	—	Unverified
2	GCL+Conv	mRR @ Normal Criterion (1.5°&0.3m)	70.2	—	Unverified
3	FCGF+APR(s)	mRR @ Normal Criterion (1.5°&0.3m)	62.9	—	Unverified
4	Predator+APR(a)	mRR @ Normal Criterion (1.5°&0.3m)	52.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CoFF	Recall ( correspondence RMSE below 0.2)	78.7	—	Unverified
2	GeoTransformer	Recall ( correspondence RMSE below 0.2)	73.4	—	Unverified
3	Predator	Recall ( correspondence RMSE below 0.2)	63.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SGAligner	CD	0.01	—	Unverified
2	SG-PGM	CD	0.01	—	Unverified