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With the techniques above, we can now also create hybrid images, or images that look like different subjects depending on the viewing distance. The classical way to create a hybrid image is to transform the image you want to see at a far range with a low-pass filter, the image you want to see at close range with a high-pass filter, and combine the 2 transformed images. We can use a similar algorithm in the denoising process, namely by passing the noise estimate from <code>p<sub>1</sub></code> and <code>p<sub>2</sub></code> through a low and high pass filter, respectively. This will produce an image that, when viewed close up, shows <code>p<sub>1</sub></code>, but when viewed far away, shows <code>p<sub>2</sub></code>. Unlike the anagram images, we don't need to flip or transform the image to be denoised, as both images should be viewed under the same orientation. Below are several examples:
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<h3>Prompts: <code>'an oil painting of an old man'</code> and <code>'an oil painting of people around a campfire'</code></h3>
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