If we completely understand how a phenomenon works, we should be able to produce it ourselves. However, the individual differences in color appearance observed with #theDress seem to be a peculiarity of that photo, and it remains unclear how the proposed mechanisms underlying #theDress can be generalized to other images. Here, we developed a simple algorithm that transforms any image with bicolored objects into an image with the properties of #theDress. We measured the colors perceived in such images and compared them to those perceived in #theDress. Color adjustments confirmed that observers strongly differ in how they perceive the colors of the new images in a similar way as for #theDress. Most importantly, these differences were not unsystematic, but correlated with how observers perceive #theDress. These results imply that the color distribution is sufficient to produce the striking individual differences in color perception originally observed with #theDress-at least as long as the image appears realistic and hence compels the viewer to make assumptions about illuminations and surfaces. The algorithm can be used for stimulus production beyond this study.

中文翻译：

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如何制作#theDress。

如果我们完全理解现象是如何发生的，我们应该能够自己产生。但是，用#theDress观察到的颜色外观上的个体差异似乎是该照片的特殊之处，目前尚不清楚如何将#theDress背后的建议机制推广到其他图像。在这里，我们开发了一种简单的算法，可以将带有双色对象的任何图像转换为具有#theDress属性的图像。我们测量了此类图像中感知到的颜色，并将其与#theDress中感知到的颜色进行了比较。颜色调整证实观察者在观察新图像颜色方面的方式与#theDress类似，差异很大。最重要的是，这些差异并非系统性的，而是与观察者对#theDress的看法相关。这些结果暗示颜色分布足以产生最初用#theDress观察到的明显的色彩感知个体差异-至少只要图像显得逼真并因此迫使观看者做出有关照明和表面的假设即可。该算法可用于本研究以外的刺激产生。