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MAEVI: Motion Aware Event-Based Video Frame Interpolation
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MAEVI: Motion Aware Event-Based Video Frame Interpolation
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Utilization of event-based cameras is expected to improve the visual quality of video frame interpolation solutions. We introduce a learning-based method to exploit moving region boundaries in a video sequence to increase the overall interpolation quality.Event cameras allow us to determine moving areas precisely; and hence, better video frame interpolation quality can be achieved by emphasizing these regions using an appropriate loss function. The results show a notable average \textit{PSNR} improvement of $1.3$ dB for the tested data sets, as well as subjectively more pleasing visual results with less ghosting and blurry artifacts.
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Cited by 1 Pith paper
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Event Camera Guided Visual Media Restoration & 3D Reconstruction: A Survey
A structured survey of event-camera-guided video restoration and 3D reconstruction, organized by temporal, spatial, and 3D tasks.
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