Video Deinterlacing On Msu Deinterlacer

FPS on CPU

PSNR

SSIM

Subjective

VMAF

Résultats

Résultats de performance de divers modèles sur ce benchmark

						Paper Title
MFDIN (L)	1.6	43.884	0.979	1.054	97.30	Multi-frame Joint Enhancement for Early Interlaced Videos
DfRes (SA)	0.1	43.486	0.972	0.925	95.96	Multi-Field De-interlacing using Deformable Convolution Residual Blocks and Self-Attention
FLAD	0.1	43.293	0.977	0.875	96.89	-
DfRes (122000 G2e 3)	-	43.200	0.972	0.862	95.68	Multi-Field De-interlacing using Deformable Convolution Residual Blocks and Self-Attention
SwinDI	-	41.151	0.970	0.741	95.17	-
EDVR (woTSA)	0.6	41.017	0.964	0.524	94.43	-
ST-Deint	2.7	40.869	0.964	0.550	94.36	Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos
EDVR	0.6	40.678	0.962	0.492	94.01	-
DfRes	0.4	40.590	0.971	0.912	95.20	Multi-Field De-interlacing using Deformable Convolution Residual Blocks and Self-Attention
MSU Deinterlacer	1.3	39.846	0.966	0.733	94.32	-
DUF	0.7	39.845	0.960	0.368	93.20	-
MFDIN	1.6	39.803	0.961	0.963	94.38	Multi-frame Joint Enhancement for Early Interlaced Videos
Bob-Weave Deinterlacer	46.6	39.298	0.957	0.347	93.53	-
VapourSynth TDeintMod	50.3	38.963	0.955	0.251	93.28	-
TDAN	0.7	38.955	0.956	0.253	91.97	-
NNEDI	1.9	38.443	0.957	0.472	93.15	-
VapourSynth EEDI3	51.9	38.403	0.957	0.393	92.52	-
Real-time Deep Video Deinterlacing	0.3	38.374	0.957	0.543	93.28	Real-time Deep Video Deinterlacing
YADIF	49	38.260	0.949	0.621	90.13	-
Weston 3-Field Deinterlacer	36.8	38.131	0.951	0.219	92.16	-

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