Artificial intelligence (AI) applied to drawing starts to create interesting image manipulation applications. I I have earlier written about an interesting AutoDraw tool in my Google’s New Program ‘AutoDraw’ Will Help Your Drawings Suck Less posting.
Now there is some other well worth to check out experiments. Create your own hellish monsters with this sketch-based AI generator article tells that artificial intelligence trained with photos of real-life things eventually learn to generate simulations of things based on sketches, at least in the case of the pix2pix project. Last Halloween MIT put up its so-called ‘Nightmare Machine,’ which uses a deep learning algorithm to transform an ordinary photo into a horror-themed one. You can try it out for yourself here. and I tried with some interesting results:
This AI turns your cat sketches into trippy cat photos article tells about a new Tensorflow port of pix2pix is able to take your crude cat sketches and transform them into photo-realistic cat abominations — that is, photos that look like cats at first, but upon closer inspection are instead somewhat strange looking simulated versions of real cats. The system is also able to generate fairly realistic building facades, shoes, and bags. Try it yourself.
I have to say that I was somewhat amazed on all those interesting AI applications…
Related links:
Image-to-Image Demo Interactive Image Translation with pix2pix-tensorflow
https://affinelayer.com/pix2pix/
Image-to-Image Translation with Conditional Adversarial Nets
https://phillipi.github.io/pix2pix/
Image-to-image translation with conditional adversarial nets
https://github.com/phillipi/pix2pix
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets
https://github.com/affinelayer/pix2pix-tensorflow
3 Comments
Tomi Engdahl says:
From 50s Perceptrons To The Freaky Stuff We’re Doing Today
http://hackaday.com/2017/06/08/from-50s-perceptrons-to-the-freaky-stuff-were-doing-today/
The Future of Artificial Intelligence
http://hackaday.com/2017/02/13/the-future-of-artificial-intelligence/
Tomi Engdahl says:
Tech Talk: Neural Networks
How to design and implement convolution neural networks, and what to watch out for.
https://semiengineering.com/tech-talk-neural-networks/
Megha Daga, senior technical marketing manager at Cadence, talks with Semiconductor Engineering about convolutional neural networks, including the bandwidth and compute challenges associated with them.
william james says:
As a reader, “AI powered monster drawing tool” sparks instant curiosity—it sounds like a digital playground where you can sketch a scribble, and the AI transforms it into a wild, colorful creature with scales, horns, or glowing eyes, blending creativity with machine learning magic. It makes me wonder if the tool learns from your style over time, which is why I’d head over to la página de razas de Happy Paws for a delightful contrast—real-life canine and feline “monsters” with their own unique quirks and features that no algorithm could fully replicate. Beyond the fun, I’d expect this tool to be perfect for game designers, storytellers, or anyone who loves unleashing their imagination without needing advanced art skills. It could also serve as an educational gateway, showing how AI interprets shapes and patterns, while gently reminding us that the best monsters often come from our own unfiltered doodles. Ultimately, it’s a thrilling invitation to play, experiment, and see what bizarre beauty emerges when human chaos meets artificial intelligence.https://www.happypawsus.com/es/collections/siberian