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SotA/Computer Vision/3D Point Cloud Interpolation

3D Point Cloud Interpolation

60 benchmarks6 papers

Point cloud interpolation is a fundamental problem for 3D computer vision. Given a low temporal resolution (frame rate) point cloud sequence, the target of interpolation is to generate a smooth point cloud sequence with high temporal resolution (frame rate).

Benchmarks

3D Point Cloud Interpolation on 3DMatch Benchmark

Feature Matching Recall

3D Point Cloud Interpolation on 3DMatch (at least 30% overlapped - FCGF setting)

Recall (0.3m, 15 degrees)RE (all)TE (all)

3D Point Cloud Interpolation on KITTI (trained on 3DMatch)

Success Rate

3D Point Cloud Interpolation on 3DLoMatch (10-30% overlap)

Recall ( correspondence RMSE below 0.2)

3D Point Cloud Interpolation on ETH (trained on 3DMatch)

Recall (30cm, 5 degrees)Feature Matching Recall

3D Point Cloud Interpolation on 3DMatch (at least 30% overlapped - sample 5k interest points)

Recall ( correspondence RMSE below 0.2)

3D Point Cloud Interpolation on KITTI (FCGF setting)

Recall (0.6m, 5 degrees)RE (all)TE (all)

3D Point Cloud Interpolation on FPv1

Recall (3cm, 10 degrees)RRE (degrees)RTE (cm)

3D Point Cloud Interpolation on FP-O-E

Recall (3cm, 10 degrees)RRE (degrees)RTE (cm)

3D Point Cloud Interpolation on FP-O-H

Recall (3cm, 10 degrees)RRE (degrees)RTE (cm)

3D Point Cloud Interpolation on FP-O-M

Recall (3cm, 10 degrees)RRE (degrees)RTE (cm)

3D Point Cloud Interpolation on FP-R-E

Recall (3cm, 10 degrees)RRE (degrees)RTE (cm)

3D Point Cloud Interpolation on FP-R-H

Recall (3cm, 10 degrees)RRE (degrees)RTE (cm)

3D Point Cloud Interpolation on FP-R-M

Recall (3cm, 10 degrees)RRE (degrees)RTE (cm)

3D Point Cloud Interpolation on FP-T-E

Recall (3cm, 10 degrees)RRE (degrees)RTE (cm)

3D Point Cloud Interpolation on FP-T-H

Recall (3cm, 10 degrees)RRE (degrees)RTE (cm)

3D Point Cloud Interpolation on FP-T-M

Recall (3cm, 10 degrees)RRE (degrees)RTE (cm)

3D Point Cloud Interpolation on KITTI

Success RateRRERTE

3D Point Cloud Interpolation on RotKITTI Registration Benchmark

RR@(1.5,0.3)RR@(1,0.1)

3D Point Cloud Interpolation on 3DMatch (trained on KITTI)

Recall

3D Point Cloud Interpolation on DHB Dataset

CDEMD

3D Point Cloud Interpolation on KITTI (Distant PCR)

mRR @ Normal Criterion (1.5°&0.3m)RR @ Loose Criterion (5°&2m), on LoKITTI

3D Point Cloud Interpolation on NL-Drive

CDEMD

3D Point Cloud Interpolation on nuScenes (Distant PCR)

mRR @ Normal Criterion (1.5°&0.3m)RR @ Loose Criterion (5°&2m), on LoNuScenes

3D Point Cloud Interpolation on ScanNet++ (trained on 3DMatch)

Recall ( correspondence RMSE below 0.2)

3D Point Cloud Interpolation on 3RScan

CDRRERTE