New way AI paints images and videos — faster, uses less memory

Researchers made a new type of AI that can create and predict pictures and short clips more efficiently. Instead of looking at every pixel all at once, it scans data one direction at a time — like reading across rows then down columns — so it can handle big images without huge memory cost. This means the model keeps full detail while being faster and using less memory, which help when you want to make big pictures or long clips.

The trick also lets much of the work run at the same time, so generating new frames or higher-resolution images is practical, even on normal hardware. It works well on photo benchmarks and robot video tests, matching or beating older methods. The team share their code so others can try it, tweak it, and build on it.

If you like AI art or want better video prediction, this method is a big step. It makes building creative tools and research easier, and gives developers a simple way to get strong results with real world limits. Try it, it might surprise you.

Read article comprehensive review in Paperium.net: Axial Attention in Multidimensional Transformers

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