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Deep Flow-Guided Video Inpainting

CVPR 2019 · Video › Video segmentation and tracking · approach: Learned optical flow estimation · 266 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use flow completion followed by flow-guided pixel propagation instead of direct frame-wise image inpaintingVideo inpainting · YouTube-VOS fixed-region testPSNR: 16.68 -> 27.49Helped
use flow completion followed by flow-guided pixel propagation instead of direct frame-wise image inpaintingVideo inpainting · DAVIS fixed-region testPSNR: 16.47 -> 28.26Helped
add hard flow example mining with p=50% (ablation)DFC-S · YouTube-VOS validation fixed-region inpaintingPSNR: 24.43 -> 26.15Helped
add hard flow example mining with p=50% (ablation)DFC-S · YouTube-VOS validation flow completionEPE (overall): 1.03 -> 0.99Helped
increase the number of stacked refinement stages from one to two (ablation)DFC-Net · YouTube-VOS validation fixed-region inpaintingPSNR: 26.15 -> 27.10Helped
add the third coarse-to-fine refinement stage (ablation)DFC-Net · YouTube-VOS validation flow completionEPE: 0.94 -> 0.93Helped
replace a single ResNet-101 stage with stacked refinement stages (ablation)DFC-Net · YouTube-VOS validation fixed-region inpaintingPSNR: 26.58 -> 27.50Helped
use multi-scale inputs across refinement stages (ablation)DFC-Net · YouTube-VOS validation fixed-region inpaintingPSNR: 27.02 -> 27.50Helped
add flow-guided pixel propagation before hallucinating unseen regions (ablation)Video inpainting · YouTube-VOS validation fixed-region inpaintingPSNR: 19.43 -> 27.50Helped
use multiple input frames in the Deepfill architecture (ablation)Deepfill · YouTube-VOS fixed-region inpaintingPSNR: 16.68 -> 16.71No clear effect
stack three multi-frame Deepfill networks (ablation)Deepfill+Multi-Frame · YouTube-VOS fixed-region inpaintingPSNR: 16.71 -> 17.02Helped
use FlowNet2 for initial flow estimation (ablation)Huang et al. · DAVIS fixed-region testPSNR: 27.39 -> 27.73Helped

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