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• W4386047737 abstract "In this paper, we propose a single image scale estimation method based on a novel scale field representation. A scale field defines the local pixel-to-metric conversion ratio along the gravity direction on all the ground pixels. This representation resolves the ambiguity in camera parameters, allowing us to use a simple yet effective way to collect scale annotations on arbitrary images from human annotators. By training our model on calibrated panoramic image data and the in-the-wild human annotated data, our single image scene scale estimation network generates robust scale field on a variety of image, which can be utilized in various 3D understanding and scale-aware image editing applications." @default.
• W4386047737 created "2023-08-23" @default.
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• W4386047737 date "2023-06-01" @default.
• W4386047737 modified "2023-09-27" @default.
• W4386047737 title "Single View Scene Scale Estimation using Scale Field" @default.
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• W4386047737 doi "https://doi.org/10.1109/cvpr52729.2023.02053" @default.
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