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Published at November 12

No-Reference Point Cloud Quality Assessment via Graph Convolutional Network

cs.CV

cs.AI

eess.IV

Released Date: November 12, 2024

Authors: Wu Chen, Qiuping Jiang, Wei Zhou, Feng Shao, Guangtao Zhai, Weisi Lin

Arxiv: http://arxiv.org/abs/2411.07728v1

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Ref	Type	Metric	SJTU				WPC
Ref	Type	Metric	SRCC $\uparrow$	PLCC $\uparrow$	KRCC $\uparrow$	RMSE $\downarrow$	SRCC $\uparrow$	PLCC $\uparrow$	KRCC $\uparrow$	RMSE $\downarrow$
FR	PC-Based	$PSNR_{MSE,p2po}$	0.6002	0.7622	0.4917	1.4382	0.1607	0.2673	0.1147	20.6947
		$PSNR_{MSE,p2pl}$	0.5505	0.7381	0.4375	1.5357	0.1182	0.2879	0.0851	21.1898
		$PSNR_{HF,p2po}$	0.6744	0.7737	0.5217	1.4481	0.0557	0.3555	0.0384	20.8197
		$PSNR_{HF,p2pl}$	0.6208	0.7286	0.4701	1.6000	0.0989	0.3263	0.0681	21.11
		$AS_{Mean}$	0.5317	0.5297	0.3723	2.7129	0.2484	0.3397	0.1801	21.5013
		$AS_{RMS}$	0.5653	0.7156	0.4144	1.6550	0.2479	0.3347	0.1802	21.5325
		$AS_{MSE}$	0.5472	0.5115	0.3865	2.6431	0.2484	0.3397	0.1801	21.5013
		$PSNR_{Y}$	0.7871	0.8124	0.6116	1.3222	0.5823	0.6166	0.4164	17.9001
		PCQM	0.7748	0.8301	0.6152	1.2978	0.5504	0.6162	0.4409	17.9027
		PointSSIM	0.7051	0.7422	0.5321	1.5601	0.4639	0.5225	0.3394	19.3863
		GraphSIM	0.8853	0.9158	0.7063	0.9462	0.6217	0.6833	0.4562	16.5107
	Projection-Based	SSIM	0.8667	0.8868	0.6988	1.0454	0.6483	0.6690	0.4685	16.8841
		MS-SSIM	0.8738	0.8930	0.7069	1.0091	0.7179	0.7349	0.5385	15.3341
		IW-SSIM	0.8638	0.8932	0.6934	1.0268	0.7608	0.7688	0.5707	14.5453
		VIFP	0.8624	0.8977	0.6934	1.0173	0.7426	0.7508	0.5575	15.0328
RR	PC-Based	PCMRR	0.5622	0.6699	0.4091	1.7589	0.3605	0.3926	0.2543	20.9203
NR	PC-Based	3D-NSS	0.7819	0.7813	0.6023	1.7740	0.6309	0.6284	0.4573	18.1706
	PC-Based	ResSCNN	0.8328	0.8865	0.6514	1.0728	0.4362	0.4531	0.2987	20.2591
	Projection-Based	PQANet	0.7593	0.7998	0.5796	1.3773	0.6368	0.6671	0.4684	16.6758
		IT-PCQA	0.8286	0.8605	0.6453	1.1686	0.4329	0.4870	0.3006	19.896
		GC-PCQA (Ours)	0.9108	0.9301	0.7546	0.8691	0.8054	0.8091	0.6246	13.3405