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  4. Video Frame Interpolation On Middlebury

Video Frame Interpolation On Middlebury

评估指标

Interpolation Error

评测结果

各个模型在此基准测试上的表现结果

模型名称
Interpolation Error
Paper TitleRepository
BMBC4.479BMBC:Bilateral Motion Estimation with Bilateral Cost Volume for Video Interpolation
IFRNet4.216IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation
SoftSplat4.223Softmax Splatting for Video Frame Interpolation
DAIN4.86Depth-Aware Video Frame Interpolation
MEMC-NET5.24MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Frame Interpolation and Enhancement-
SepConv-L15.61Video Frame Interpolation via Adaptive Separable Convolution
ToFlow5.49Video Enhancement with Task-Oriented Flow
CDFI-CDFI: Compression-Driven Network Design for Frame Interpolation
FILM-FILM: Frame Interpolation for Large Motion
FRUCnet4.78--
MA-CSPA-Exploring Motion Ambiguity and Alignment for High-Quality Video Frame Interpolation-
0 of 11 row(s) selected.
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