Point Cloud Filtering on PUNet 50K Dense Laplace noise (synthetic) benchmark leaderboard · SOTA2 Research

Point Cloud Filtering on PUNet 50K Dense Laplace noise (synthetic)

0.602CDStraightPCF

Evaluation Results

Method	Links
StraightPCF2024.05		0.602	0.133
IterativePFN2024.05		0.653	0.089
DeepPSR2024.05		0.74	0.139
PDFlow2024.05		0.821	0.296
Score2024.05		0.825	0.233
PointFilter2024.05		0.827	0.23
StraightPCF2024.05		0.966	0.412
IterativePFN2024.05		0.999	0.317
PointFilter2024.05		1.244	0.491
DeepPSR2024.05		1.279	0.526
PDFlow2024.05		1.507	0.86
Score2024.05		1.677	0.885
DeepPSR2024.05		1.835	0.89
StraightPCF2024.05		2.536	1.676
Score2024.05		2.669	1.645
PointFilter2024.05		2.876	1.8
IterativePFN2024.05		3.67	2.411
PDFlow2024.05		4.532	3.52
PD-Refiner2026.05		5.28	0.85
PD-LTS2026.05		5.31	0.96
StraightPCF2026.05		6.07	1.39
SIMPC2026.05		6.81	1.78
PD-Refiner2026.05		8.89	3.16
PD-LTS2026.05		9.8	4.28
StraightPCF2026.05		9.81	4.32
SIMPC2026.05		10.07	4.48
Score-U2026.05		12.41	4.76
Noise2Score3D2026.05		20.33	11.31
PD-Refiner2026.05		21.86	13.33
SIMPC2026.05		25.16	16.72
StraightPCF2026.05		27.95	19.61
Score-U2026.05		35.13	23.63
PD-LTS2026.05		44.76	34.71
Noise2Score3D2026.05		48.47	35.63
Score-U2026.05		60.3	43.36
Noise2Score3D2026.05		85.73	70.64