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Progressive Temporal Feature Alignment Network for Video Inpainting

CVPR 2021 · Video › Video segmentation and tracking · approach: Learned optical flow estimation · 52 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add optical-flow alignment and a validity mask to TSM (ablation)Progressive Temporal Feature Alignment Network · FVI, Object MaskPSNR: 35.06 -> 35.48Helped
add optical-flow alignment and a validity mask to TSM (ablation)Progressive Temporal Feature Alignment Network · FVI, Curve MaskPSNR: 37.12 -> 37.43Helped
add optical-flow alignment and a validity mask to TSM (ablation)Progressive Temporal Feature Alignment Network · FVI, Stationary MaskPSNR: 41.11 -> 41.41Helped
replace completed optical flow with ground-truth optical flow (ablation)Progressive Temporal Feature Alignment Network · FVI, Object MaskPSNR: 35.48 -> 35.76Helped
replace completed optical flow with ground-truth optical flow (ablation)Progressive Temporal Feature Alignment Network · FVI, Curve MaskPSNR: 37.43 -> 37.82Helped
replace completed optical flow with ground-truth optical flow (ablation)Progressive Temporal Feature Alignment Network · FVI, Stationary MaskPSNR: 41.41 -> 41.61Helped
use completed flow rather than ground-truth optical flow (ablation)Progressive Temporal Feature Alignment Network · FVI, Object MaskPSNR: 35.76 -> 35.48Hurt
use completed flow rather than ground-truth optical flow (ablation)Progressive Temporal Feature Alignment Network · FVI, Curve MaskPSNR: 37.82 -> 37.43Hurt
use completed flow rather than ground-truth optical flow (ablation)Progressive Temporal Feature Alignment Network · FVI, Stationary MaskPSNR: 41.61 -> 41.41Hurt

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