论文标题
从单个图像进行深度回归的光方向和颜色估计
Light Direction and Color Estimation from Single Image with Deep Regression
论文作者
论文摘要
我们提出了一种从单个图像中估算场景光源的方向和颜色的方法。我们的方法基于两个主要思想：（a）我们使用具有与SID数据集相似的强大阴影效应的新合成数据集； （b）我们定义了在上述数据集上训练的深度建筑，以估计场景光源的方向和颜色。除了在合成图像上表现出良好的性能外，我们还提出了一个初步程序，以获得多弹性数据集的光位置，并且通过这种方式，我们还证明，当训练有素的模型将其应用于真实场景时，我们的训练模型可实现良好的性能。
We present a method to estimate the direction and color of the scene light source from a single image. Our method is based on two main ideas: (a) we use a new synthetic dataset with strong shadow effects with similar constraints to the SID dataset; (b) we define a deep architecture trained on the mentioned dataset to estimate the direction and color of the scene light source. Apart from showing good performance on synthetic images, we additionally propose a preliminary procedure to obtain light positions of the Multi-Illumination dataset, and, in this way, we also prove that our trained model achieves good performance when it is applied to real scenes.
