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Video Frame Interpolation On Middlebury

Metrics

Interpolation Error

Results

Performance results of various models on this benchmark

Paper Title
SepConv-L15.61Video Frame Interpolation via Adaptive Separable Convolution
ToFlow5.49Video Enhancement with Task-Oriented Flow
MEMC-NET5.24MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Frame Interpolation and Enhancement
DAIN4.86Depth-Aware Video Frame Interpolation
FRUCnet4.78-
BMBC4.479BMBC:Bilateral Motion Estimation with Bilateral Cost Volume for Video Interpolation
SoftSplat4.223Softmax Splatting for Video Frame Interpolation
IFRNet4.216IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation
CDFI-CDFI: Compression-Driven Network Design for Frame Interpolation
FILM-FILM: Frame Interpolation for Large Motion
MA-CSPA-Exploring Motion Ambiguity and Alignment for High-Quality Video Frame Interpolation
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Video Frame Interpolation On Middlebury | SOTA | HyperAI