Video Deinterlacing On Msu Deinterlacer

FPS on CPU

PSNR

SSIM

Subjective

VMAF

평가 결과

이 벤치마크에서 각 모델의 성능 결과

비교 표

모델 이름	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
모델 3	1.9	38.443	0.957	0.472	93.15
모델 4	2	35.825	0.935	0.375	86.92
모델 5	49	38.260	0.949	0.621	90.13
모델 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
모델 8	2.2	36.640	0.939	-	88.96
모델 9	36.8	38.131	0.951	0.219	92.16
모델 10	6.5	32.092	0.826	-	57.61
모델 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
모델 14	51.9	38.403	0.957	0.393	92.52
모델 15	52.8	38.009	0.955	0.118	90.04
모델 16	3.5	29.683	0.868	-	49.49
모델 17	46.6	39.298	0.957	0.347	93.53
모델 18	0.6	40.678	0.962	0.492	94.01
모델 19	1.9	35.825	0.935	-	86.92
모델 20	37.9	37.067	0.945	0.071	90.19
모델 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
모델 23	1.3	39.846	0.966	0.733	94.32
모델 24	0.6	41.017	0.964	0.524	94.43
모델 25	50.3	38.963	0.955	0.251	93.28
모델 26	0.1	43.293	0.977	0.875	96.89
모델 27	2.9	34.260	0.912	-	83.05
모델 28	1.5	30.577	0.844	-	64.36
모델 29	3.3	37.992	0.955	0.156	90.04
모델 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