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Research map / Video / Video segmentation and tracking

Video Frame Interpolation Transformer

CVPR 2022 · Video › Video segmentation and tracking · approach: Video frame interpolation · 128 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use VFIT-S rather than FLAVRvideo frame interpolation · Vimeo-90K testPSNR: 36.30 -> 36.48Helped
use VFIT-B rather than FLAVRvideo frame interpolation · DAVISPSNR: 27.44 -> 28.09Helped
replace patch-based global attention with local Sep-STS attention (ablation)VFIT-B · Vimeo-90K ablationPSNR: 35.18 -> 36.02Helped
use Sep-STS rather than inseparable STS blocks (ablation)VFIT-B · Vimeo-90K ablationPSNR: 35.84 -> 36.02Helped
use Sep-STS rather than convolutional ResBlocks (ablation)VFIT-B · Vimeo-90K, fast motionPSNR: 32.80 -> 33.23Helped
use Sep-STS rather than convolutional ResBlocks (ablation)VFIT-B · Vimeo-90K, medium motionPSNR: 35.75 -> 35.91Helped
use Sep-STS rather than convolutional ResBlocks (ablation)VFIT-B · Vimeo-90K, slow motionPSNR: 38.26 -> 38.36Helped
increase Sep-STS window size from M=4 to M=8 (ablation)VFIT-B · Vimeo-90K ablationPSNR: 35.82 -> 36.02Helped
increase Sep-STS window size from M=8 to M=10 (ablation)VFIT-B · Vimeo-90K ablationPSNR: 36.02 -> 35.93Hurt
use multi-scale synthesis instead of removing the second and third SynBlocks (ablation)VFIT-B · Vimeo-90K testPSNR: 35.54 -> 36.02Helped
supervise only the final output rather than all-scale outputs (ablation)VFIT multi-scale synthesis · Vimeo-90KPSNRHelped
retain convolutional downsampling rather than use Transformer downsampling (ablation)VFIT-B · Vimeo-90K ablationPSNR: 35.92 -> 36.02Helped

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