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Context-Aware Video Reconstruction for Rolling Shutter Cameras

CVPR 2022 · Video › Video segmentation and tracking · approach: Spike and neuromorphic deblurring · 27 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use context-aware reconstruction with motion enhancement and occlusion reasoning instead of RSSRRolling-shutter video reconstruction · Carla-RS with occlusion mask (CRM), t=0.5PSNR: 30.17 -> 32.02Helped
Use context-aware reconstruction with motion enhancement and occlusion reasoning instead of SUNetRolling-shutter video reconstruction · Carla-RS without occlusion mask (CR), t=0.5PSNR: 29.18 -> 31.74Helped
Use context-aware reconstruction with motion enhancement and occlusion reasoning instead of SUNetRolling-shutter video reconstruction · Fastec-RS (FR), t=0.5PSNR: 28.34 -> 28.72Helped
Add a learned NBMF initialization rather than use ABMFCVR · Carla-RS with occlusion mask (CRM), t=0.5PSNR: 31.82 -> 32.02Helped
Replace the NBMF/ABMF initialization with linear BMF (ablation)CVR · Carla-RS with occlusion mask (CRM), t=0.5PSNR: 32.02 -> 26.10Hurt
Replace PWC-Net with RAFT (ablation)CVR · Carla-RS with occlusion mask (CRM), t=0.5PSNR: 32.02 -> 30.50Hurt
Train the motion interpretation module jointly instead of freezing it (ablation)CVR · Fastec-RS (FR), t=0.5PSNR: 28.11 -> 28.72Helped
Add motion enhancement residuals ΔU (ablation)CVR · Fastec-RS (FR), t=0.5PSNR: 28.32 -> 28.72Helped
Add bilateral occlusion masks (ablation)CVR · Fastec-RS (FR), t=0.5PSNR: 24.04 -> 28.72Helped
Add the self-supervised candidate-consistency loss L'c (ablation)CVR · Fastec-RS (FR), t=0.5PSNR: 28.72 -> 28.55No clear effect

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