notesum.ai

Published at December 10

MPSI: Mamba enhancement model for pixel-wise sequential interaction Image Super-Resolution

cs.CV

cs.AI

eess.IV

Released Date: December 10, 2024

Authors: Yuchun He¹, Yuhan He¹

Aff.: ¹University of Sydney

Arxiv: http://arxiv.org/pdf/2412.07222v1

		Set5		Set14		B100		Urban100		Manga109
Method	Scale	PSNR	SSIM	PSNR	SSIM	PSNR	SSIM	PSNR	SSIM	PSNR	SSIM
EDSR [29]	$\times$ 2	38.11	0.9602	33.92	0.9195	32.32	0.9013	32.93	0.9351	39.10	0.9773
IMDN [20]	$\times$ 2	38.00	0.9605	33.63	0.9177	32.19	0.8996	32.17	0.9283	38.88	0.9774
LAPAR-A [24]	$\times$ 2	38.01	0.9605	33.62	0.9183	32.19	0.8999	32.10	0.9283	38.67	0.9772
RDN [46]	$\times$ 2	38.24	0.9614	34.01	0.9212	32.34	0.9017	32.89	0.9353	39.18	0.9780
ESRT [31]	$\times$ 2	38.03	0.9600	33.75	0.9184	32.25	0.9001	32.58	0.9318	39.12	0.9774
SwinIR [27]	$\times$ 2	38.14	0.9611	33.86	0.9206	32.31	0.9012	32.76	0.9340	39.12	0.9783
MambaIR	$\times$ 2	38.13	0.9610	33.95	0.9208	32.31	0.9013	32.85	0.9349	39.20	0.9782
ELAN [44]	$\times$ 2	38.17	0.9611	33.94	0.9207	32.30	0.9012	32.76	0.9340	39.11	0.9782
DAT [6]	$\times$ 2	38.24	0.9614	34.01	0.9214	32.34	0.9019	32.89	0.9346	39.49	0.9788
MPSI (ours)	$\times$ 2	38.26	0.9614	34.02	0.9214	32.38	0.9022	33.03	0.9360	39.47	0.9787
EDSR [29]	$\times$ 3	34.65	0.9280	30.52	0.8462	29.25	0.8093	28.80	0.8653	34.17	0.9476
IMDN [20]	$\times$ 3	34.36	0.9270	30.32	0.8417	29.09	0.8046	28.17	0.8519	33.61	0.9445
LAPAR-A [24]	$\times$ 3	34.36	0.9267	30.34	0.8421	29.11	0.8054	28.15	0.8523	33.51	0.9441
RDN [46]	$\times$ 3	34.71	0.9296	30.57	0.8468	29.26	0.8093	28.80	0.8653	34.13	0.9484
ESRT [31]	$\times$ 3	34.42	0.9268	30.43	0.8433	29.15	0.8063	28.46	0.8574	33.95	0.9455
SwinIR [27]	$\times$ 3	34.62	0.9289	30.54	0.8463	29.20	0.8082	28.66	0.8624	33.98	0.9478
MambaIR	$\times$ 3	34.63	0.9288	30.54	0.8459	29.23	0.8084	28.70	0.8631	34.12	0.9479
ELAN [44]	$\times$ 3	34.61	0.9288	30.55	0.8463	29.21	0.8081	28.69	0.8624	34.00	0.9478
DAT [6]	$\times$ 3	34.76	0.9299	30.63	0.8474	29.29	0.8103	28.89	0.8666	34.55	0.9501
MPSI (ours)	$\times$ 3	34.79	0.9301	30.71	0.8487	29.32	0.8113	29.03	0.8698	34.64	0.9505
EDSR [29]	$\times$ 4	32.46	0.8968	28.80	0.7876	27.71	0.7420	26.64	0.8033	31.02	0.9148
IMDN [20]	$\times$ 4	32.21	0.8948	28.58	0.7811	27.56	0.7353	26.04	0.7838	30.45	0.9075
LAPAR-A [24]	$\times$ 4	32.15	0.8944	28.61	0.7818	27.61	0.7366	26.14	0.7871	30.42	0.9074
RDN [46]	$\times$ 4	32.47	0.8990	28.81	0.7871	27.72	0.7419	26.61	0.8028	31.00	0.9151
ESRT [31]	$\times$ 4	32.19	0.8947	28.69	0.7833	27.69	0.7379	26.39	0.7962	30.75	0.9100
SwinIR [27]	$\times$ 4	32.44	0.8976	28.77	0.7858	27.69	0.7406	26.47	0.7980	30.92	0.9151
MambaIR	$\times$ 4	32.42	0.8977	28.74	0.7847	27.68	0.7400	26.52	0.7983	30.94	0.9135
ELAN [44]	$\times$ 4	32.43	0.8975	28.78	0.7858	27.69	0.7406	26.54	0.7982	30.92	0.9150
DAT [6]	$\times$ 4	32.57	0.8991	28.87	0.7879	27.74	0.7428	26.64	0.8033	31.37	0.9178
MPSI (ours)	$\times$ 4	32.58	0.8991	28.89	0.7887	27.77	0.7435	26.71	0.8057	31.44	0.9181