GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing

نویسندگان

چکیده

Compositing-aware object search aims to find the most compatible objects for compositing given a background image and query bounding box. Previous works focus on learning compatibility between foreground background, but fail learn other important factors from large-scale data, i.e. geometry lighting. To move step further, this paper proposes GALA (Geometry-and-Lighting-Aware), generic method with discriminative modeling lighting open-world compositing. Remarkably, it achieves state-of-the-art results CAIS dataset generalizes well datasets, Pixabay Open Images. In addition, our can effectively handle non-box scenarios, where users only provide images without any input Experiments are conducted real-world showcase applications of proposed compositing-aware automatic location/scale prediction object.

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ژورنال

عنوان ژورنال: Lecture Notes in Computer Science

سال: 2022

ISSN: ['1611-3349', '0302-9743']

DOI: https://doi.org/10.1007/978-3-031-19812-0_39