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Mar, 2022
GALA: 面向几何和光照感知的合成物搜索
GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing
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Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang...
TL;DR
本文提出了一个基于GALA（Geometry-and-Lighting-Aware）的通用前景物体搜索方法，该方法通过几何和照明兼容性的判别建模，实现了针对开放世界图像合成的最优结果。
Abstract
compositing-aware
object search
aims to find the most compatible objects for compositing given a background image and a query bounding box. Previous works focus on learning compatibility between the foreground ob
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