Video Frame Interpolation On Msu Video Frame

평가 지표

LPIPS

MS-SSIM

PSNR

SSIM

VMAF

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	LPIPS	MS-SSIM	PSNR	SSIM	VMAF	Paper Title	Repository
DQBC	0.021	0.961	29.45	0.949	72.12	Video Frame Interpolation with Densely Queried Bilateral Correlation
VFIformer	0.044	0.942	28.34	0.917	68.87	Video Frame Interpolation with Transformer
XVFI (S_{tst}=3)	0.061	0.933	27.35	0.913	63.47	XVFI: eXtreme Video Frame Interpolation
EBME-H	0.024	0.958	28.77	0.931	68.20	Enhanced Bi-directional Motion Estimation for Video Frame Interpolation
AdaCoF_f	0.058	0.913	24.99	0.903	60.19	AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation
UPR-Net LARGE	0.025	0.962	29.73	0.951	71.34	A Unified Pyramid Recurrent Network for Video Frame Interpolation
FeFlow_f	0.060	0.911	24.48	0.902	60.70	FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation
FeFlow	0.070	0.894	23.28	0.889	58.11	FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation
BMBC	0.071	0.898	23.34	0.885	59.27	BMBC: Bilateral Motion Estimation with Bilateral Cost Volume for Video Interpolation
IFRNet_large	0.037	0.943	28.04	0.921	66.98	IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation
IFRNet_small	0.049	0.931	27.45	0.908	63.43	IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation
SepConv-L1	-	-	26.36	-	-	Video Frame Interpolation via Adaptive Separable Convolution
RIFE	0.039	0.939	27.15	0.914	66.33	RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation	-
ABME	0.039	0.945	27.99	0.919	68.10	Asymmetric Bilateral Motion Estimation for Video Frame Interpolation
XVFI (S_{tst}=5)	0.049	0.955	27.86	0.921	67.25	XVFI: eXtreme Video Frame Interpolation
RRIN	0.072	0.902	25.76	0.893	59.82	Video Frame Interpolation via Residue Refinement
CDFI	0.051	0.926	26.99	0.908	61.72	CDFI: Compression-Driven Network Design for Frame Interpolation
CURE	0.029	0.946	28.01	0.920	67.07	Learning Cross-Video Neural Representations for High-Quality Frame Interpolation
FILM	0.033	0.948	28.11	0.928	68.68	FILM: Frame Interpolation for Large Motion
EMA-VFI	0.022	0.965	29.89	0.953	71.71	Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation

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