Interactive relighting in single low-dynamic range images

Jung-Hsuan Wu, Suguru Saito
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Abstract

This article addresses the relighting of outdoor and large indoor scenes illuminated by nondistant lights, which has seldom been discussed in previous works. We propose a method for users to interactively edit the illumination of a scene by moving existing lights and inserting synthetic lights into the scene that requires only a small amount of user annotation and a single low-dynamic range (LDR) image. We achieve this by adopting a top-down approach that estimates the scene reflectance by fitting a diffuse illumination model to a photograph. This approach gains stability and robustness by estimating the camera, scene geometry, and light sources in sequence and by using a confidence map, which is a per-pixel weight map. The results of our evaluation demonstrates that the proposed method can estimate a scene accurately enough for realistic relighting of images. Moreover, the experimental results of our user studies show that the synthesized images are so realistic as to be almost indistinguishable from real photographs.
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在单个低动态范围图像中的交互式重照明
本文讨论了由近距离灯光照亮的室外和大型室内场景的再照明,这在以前的作品中很少讨论。我们提出了一种方法,用户可以通过移动现有灯光并将合成灯光插入到场景中,从而交互式地编辑场景的照明,该方法只需要少量的用户注释和单个低动态范围(LDR)图像。我们通过采用自上而下的方法来实现这一点,该方法通过将漫射照明模型拟合到照片中来估计场景反射率。这种方法通过按顺序估计相机、场景几何和光源以及使用置信图(逐像素权重图)来获得稳定性和鲁棒性。我们的评估结果表明,所提出的方法可以准确地估计场景,以实现真实的图像重光照。此外,我们的用户研究实验结果表明,合成的图像是如此逼真,几乎无法区分真实的照片。
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