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IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation

CVPR 2022 · Video › Video segmentation and tracking · approach: Video frame interpolation · 193 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add the joint intermediate-feature and residual design (ablation)IFRNet · Vimeo90KPSNR: 34.83 -> 35.51Helped
Add intermediate feature while omitting residual (ablation)IFRNet · Vimeo90KPSNR: 34.83 -> 35.22Helped
Add residual while omitting intermediate feature (ablation)IFRNet · Vimeo90KPSNR: 34.83 -> 35.11Helped
Add task-oriented flow distillation loss (ablation)IFRNet · Vimeo90KPSNR: 35.51 -> 35.72Helped
Add feature-space geometry consistency loss (ablation)IFRNet with flow distillation · Vimeo90KPSNR: 35.72 -> 35.80Helped
Use fixed-robustness flow distillation with p=0.3 instead of spatially adaptive robustness (ablation)IFRNet · Vimeo90KPSNRMixed
Set fixed flow-distillation robustness near p=1.0 (ablation)IFRNet · Vimeo90KPSNRHurt
Scale IFRNet to the large variantIFRNet · Vimeo90KPSNR: 35.80 -> 36.20Helped
Use IFRNet rather than RIFEFrame interpolation · Vimeo90KPSNR: 35.62 -> 35.80Helped
Use IFRNet rather than ABMEFrame interpolation · SNU-FILM MediumPSNR: 35.77 -> 35.94Helped
Use IFRNet rather than ABMEFrame interpolation · SNU-FILM ExtremePSNR: 25.42 -> 25.05Hurt
Use IFRNet rather than SoftSplatFrame interpolation · Middlebury EvaluationIE: 4.223 -> 4.216Helped

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