Video Deinterlacing On Msu Deinterlacer

FPS on CPU

PSNR

SSIM

Subjective

VMAF

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Vergleichstabelle

Modellname	FPS on CPU	PSNR	SSIM	Subjective	VMAF
spatial-temporal-correlation-and-topology	2.7	40.869	0.964	0.550	94.36
multi-field-de-interlacing-using-deformable	-	43.200	0.972	0.862	95.68
Modell 3	1.9	38.443	0.957	0.472	93.15
Modell 4	2	35.825	0.935	0.375	86.92
Modell 5	49	38.260	0.949	0.621	90.13
Modell 6	0.7	39.845	0.960	0.368	93.20
real-time-deep-video-deinterlacing	0.3	38.374	0.957	0.543	93.28
Modell 8	2.2	36.640	0.939	-	88.96
Modell 9	36.8	38.131	0.951	0.219	92.16
Modell 10	6.5	32.092	0.826	-	57.61
Modell 11	37.9	37.812	0.951	0.091	90.62
multi-field-de-interlacing-using-deformable	0.1	43.486	0.972	0.925	95.96
multi-frame-joint-enhancement-for-early	1.6	43.884	0.979	1.054	97.30
Modell 14	51.9	38.403	0.957	0.393	92.52
Modell 15	52.8	38.009	0.955	0.118	90.04
Modell 16	3.5	29.683	0.868	-	49.49
Modell 17	46.6	39.298	0.957	0.347	93.53
Modell 18	0.6	40.678	0.962	0.492	94.01
Modell 19	1.9	35.825	0.935	-	86.92
Modell 20	37.9	37.067	0.945	0.071	90.19
Modell 21	0.7	38.955	0.956	0.253	91.97
multi-field-de-interlacing-using-deformable	0.4	40.590	0.971	0.912	95.20
Modell 23	1.3	39.846	0.966	0.733	94.32
Modell 24	0.6	41.017	0.964	0.524	94.43
Modell 25	50.3	38.963	0.955	0.251	93.28
Modell 26	0.1	43.293	0.977	0.875	96.89
Modell 27	2.9	34.260	0.912	-	83.05
Modell 28	1.5	30.577	0.844	-	64.36
Modell 29	3.3	37.992	0.955	0.156	90.04
Modell 30	-	41.151	0.970	0.741	95.17
multi-frame-joint-enhancement-for-early	1.6	39.803	0.961	0.963	94.38