论文标题
图像通过匹配区域参考
Image Harmonization by Matching Regional References
论文作者
论文摘要
为了在复合图像中实现视觉一致性，最近的图像协调方法通常总结了全局背景的外观模式，并将其应用于无位置差异的情况下。但是，对于真实图像，不同区域的外观（照明，色温，饱和，色调，质地等）可能会有很大差异。因此，以前的方法在全球传递外观并不是最佳的。试图解决此问题，我们首先匹配前景和背景之间的内容，然后根据其内容相关的背景区域的外观自适应地调整每个前景位置。此外，我们设计了一种残留的重建策略，该策略使用预测的残留来调整外观，并使用复合前景来保留图像细节。广泛的实验证明了我们方法的有效性。源代码将公开使用。
To achieve visual consistency in composite images, recent image harmonization methods typically summarize the appearance pattern of global background and apply it to the global foreground without location discrepancy. However, for a real image, the appearances (illumination, color temperature, saturation, hue, texture, etc) of different regions can vary significantly. So previous methods, which transfer the appearance globally, are not optimal. Trying to solve this issue, we firstly match the contents between the foreground and background and then adaptively adjust every foreground location according to the appearance of its content-related background regions. Further, we design a residual reconstruction strategy, that uses the predicted residual to adjust the appearance, and the composite foreground to reserve the image details. Extensive experiments demonstrate the effectiveness of our method. The source code will be available publicly.
