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ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation

CVPR 2022 · Video › Video segmentation and tracking · approach: Video frame interpolation · 47 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add BLFNet alongside the multi-flow branch (ablation)ST-MFNet · DAVISPSNR: 27.767 -> 28.287Helped
Add MIFNet alongside the single-flow branch (ablation)ST-MFNet · VFITexPSNR: 28.357 -> 29.175Helped
Add TENet for spatio-temporal texture enhancement (ablation)ST-MFNet · VFITexPSNR: 28.241 -> 29.175Helped
Use UMSResNext instead of U-Net for multi-flow prediction (ablation)ST-MFNet · DAVISPSNR: 28.096 -> 28.287Helped
Add the up-sampling scale to multi-flow prediction (ablation)ST-MFNet · VFITexPSNR: 28.977 -> 29.175Helped
Fine-tune with ST-GAN perceptual loss rather than Laplacian loss alone (ablation)ST-MFNet · SNU-FILM HardLPIPS: 0.073 -> 0.065Helped
Fine-tune with ST-GAN perceptual loss rather than Laplacian loss alone (ablation)ST-MFNet · UCF101PSNR: 33.384 -> 33.364Hurt
Replace ST-MFNet with arithmetic averaging of AdaCoF and Softsplat (ablation)ST-MFNet · DAVISPSNR: 27.361 -> 28.287Hurt

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