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Stas Kulesh made a plugin that puts AI-generated faces into design mockups. It's a great application of a popular idea. Here's also a website (see similar websites for cats and rentals). Caution: researchers backtracked these photos to find original people (see the research paper).
The software will instantly turn a couple of lines into a gorgeous mountaintop sunset. This is MS Paint for the AI age. More about it. V2 can use a text prompt to generate images. It transformed into Nvidia Canvas tool later. Scribble Diffusion is a similar idea.
A talk by Josh Clark on using machine-generated content, insight, and interaction as design material in your everyday work.
These 18 guidelines can help you design AI systems and features that are more human-centered. How to use them in a creative process.
People+AI research initiative. How might we make it easier for engineers to build and understand machine learning systems? How can AI aid and augment professionals in their jobs? Can design thinking open up new applications for AI?
AI is like photography in the 19th century–struggling to be accepted as its own art form. Aaron Hertzmann discusses tricky situations in art world.
One-click intelligent design image generation, intelligent layout, size expansion, color expansion, and other design services. Users can generate multiple sets of design solutions that meet the requirements in real time by simply inputting the desired style and size. More about it.
An experimental tool by Shaobo Guan generates realistic photos of people. You can alter gender, age, race, and some facial details. StyleGAN from Nvidia is one of many similar tools. There's even "Hot or Not"!
An algorithm by Tom White draws abstract illustrations of real world objects. It's trained on photos and the result is close to usable in real products. It's a part of Google Artists and Machine Learning initiative (read its blog).
