Generative Adversarial Networks art is based on Neural networks using both generative and a discriminative models to process images and generate and modify image and creating interesting results in the process.
To get the full poteintial of GAN you need time, programing skills and desire, but there are altirnaves that can give decent resutls in a simple web interface.
This is a webssite that let you play with GAN in a simple interface. You can see how to use it in the video.
Use a masterpiece as a source image. Find a great classical masterpiece by distinguishable author. Modify it a little or don't
Use it as source and experiment with styles. As the master's work have great compostion, forms, colors and power, they can keep their mastefullness after the GAN modify it.
You wil most surely get multile amazing results.
You can share it or sell it. It sells well now in the NFT World. I would love if you mention the author and educate more people about the master and history of art.
If the arwork is more than 100 years old, you have the right to do whatever you want.
This will be hated and found unethical by most conventional artists.
Still...
I can't take a side. I am experimenting with it a lot, but don't mint the results.
The Triumph of Death by Pieter Bruegel the Elder
Original
Results:
In the video:
Hendrick Avercamp's Winterlandschap met ijsvermaak; Canaletto's style; Johann Christian Schickhardt's music; https://deepdreamgenerator.com/;
Original
Result
▶️ 3Speak
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