只有你:在一个场景中积极地减少人们

Chanran Kim, Jaehoon Lee, Kanghoon Lee, Jong-Il Park
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引用次数: 1

摘要

场景中有各种各样的对象,其中一些是不需要的。特别是,背景照片和肖像包含不受欢迎的人的照片。在肖像权、商标曝光和版权保护方面,包括不需要的物品也是有问题的。重要的是更自然地减少这些不需要的对象,而不是简单地擦除或镶嵌它们。我们提出了一种主动检测人并自然填充该区域的方法。提出的方法通过结合基于深度学习的目标检测方法和基于示例的图像绘制方法来减少人。为了准确地测量性能,将待去除的目标与图像合成。此外,我们通过深度学习部分或整体地构建了所提出的方法,并对结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
There is only you: Actively diminishing people in a scene
There are various objects in a scene, and some of them are unwanted. In particular, background photographs and portraits contain photographs of unwanted people. It is also problematic to include unwanted objects in terms of portrait rights, trademark exposure, and copyright protection. It is important to diminish these unwanted objects more naturally than to simply erase or mosaic them. We propose a method to actively detect a person and naturally fill that region. The proposed methods perform diminishing people by combining an object detection method based on deep learning and an exemplar-based image inpainting method. To measure the performance accurately, the object to be removed is synthesized with the image. In addition, we constructed the proposed method partially or in whole by deep learning and compared the results.
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