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• W4386071458 abstract "Smartphone cameras today are increasingly approaching the versatility and quality of professional cameras through a combination of hardware and software advancements. However, fixed aperture remains a key limitation, preventing users from controlling the depth of field (DoF) of captured images. At the same time, many smartphones now have multiple cameras with different fixed apertures - specifically, an ultra-wide camera with wider field of view and deeper DoF and a higher resolution primary camera with shallower DoF. In this work, we propose <tex xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>$DC^{2}$</tex> , a system for defocus control for synthetically varying camera aperture, focus distance and arbitrary defocus effects by fusing information from such a dual-camera system. Our key insight is to leverage real-world smartphone camera dataset by using image refocus as a proxy task for learning to control defocus. Quantitative and qualitative evaluations on real-world data demonstrate our system's efficacy where we outperform state-of-the-art on defocus deblurring, bokeh rendering, and image refocus. Finally, we demonstrate creative post-capture defocus control enabled by our method, including tilt-shift and content-based defocus effects." @default.
• W4386071458 created "2023-08-23" @default.
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• W4386071458 date "2023-06-01" @default.
• W4386071458 modified "2023-09-27" @default.
• W4386071458 title "DC²: Dual-Camera Defocus Control by Learning to Refocus" @default.
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• W4386071458 doi "https://doi.org/10.1109/cvpr52729.2023.02058" @default.
• W4386071458 hasPublicationYear "2023" @default.
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