Of course, I couldn't stop at just a painting. Of course I had to incorporate my computer vision/ AI in this area too. But is that not what researchers do?

So let's talk about what this is. Well, it closely resembles my previous wine painting, but something feels off. We can clearly see the wine glass and the bottle but the colors seem different than the original painting. The style seems more of the Buddha painting with a similar color profile. How did I do this?

In simple language I used AI, in a more technical sense I used Neural Style Transfer (NST), a subset of Computer Vision. NST is a technique where you take the content of one image (here the couple painting) and combine it with the style of another (painting of Buddha). Implemented in Python language using the PyTorch framework, I was able to control the amount of content and style from each of the original images.

Another example is shown below, where we once again use style of painting 1 (Buddha) and content of painting 2 (wine glass).

An interesting idea, isn't it?

AI has done a fantastic job here in blending these two images together, quite similar to how an artist would do this task.