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算力平台

Video Frame Interpolation On Msu Video Frame

评估指标

LPIPS
MS-SSIM
PSNR
SSIM
VMAF

评测结果

各个模型在此基准测试上的表现结果

Paper Title
EMA-VFI0.0220.96529.890.95371.71Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation
UPR-Net LARGE0.0250.96229.730.95171.34A Unified Pyramid Recurrent Network for Video Frame Interpolation
DQBC0.0210.96129.450.94972.12Video Frame Interpolation with Densely Queried Bilateral Correlation
EBME-H0.0240.95828.770.93168.20Enhanced Bi-directional Motion Estimation for Video Frame Interpolation
EBME0.0280.95728.560.92869.37Enhanced Bi-directional Motion Estimation for Video Frame Interpolation
VFIformer0.0440.94228.340.91768.87Video Frame Interpolation with Transformer
FILM0.0330.94828.110.92868.68FILM: Frame Interpolation for Large Motion
IFRNet_large0.0370.94328.040.92166.98IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation
CURE0.0290.94628.010.92067.07Learning Cross-Video Neural Representations for High-Quality Frame Interpolation
ABME0.0390.94527.990.91968.10Asymmetric Bilateral Motion Estimation for Video Frame Interpolation
XVFI (S_{tst}=5)0.0490.95527.860.92167.25XVFI: eXtreme Video Frame Interpolation
IFRNet_base0.0480.93227.670.90964.16IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation
IFRNet_small0.0490.93127.450.90863.43IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation
XVFI (S_{tst}=3)0.0610.93327.350.91363.47XVFI: eXtreme Video Frame Interpolation
RIFE0.0390.93927.150.91466.33Real-Time Intermediate Flow Estimation for Video Frame Interpolation
CDFI0.0510.92626.990.90861.72CDFI: Compression-Driven Network Design for Frame Interpolation
Super-SloMo0.0680.92426.690.90461.35Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
SepConv-L1--26.36--Video Frame Interpolation via Adaptive Separable Convolution
RRIN0.0720.90225.760.89359.82Video Frame Interpolation via Residue Refinement
AdaCoF_f0.0580.91324.990.90360.19AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation
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