Robokeh Exclusive Full

Neural networks, trained on millions of high-end DSLR photos, identify the subject. They recognize that a human face is the focus and that the trees behind them are background. They then apply a "kernel" (a mathematical blur effect) that varies intensity based on the distance data.

To go "RoboKeh full" is to embrace the beautiful error. It is the art of finding humanity in the dropout, and poetry in the buffer underrun. robokeh full

While "robokeh" can be a few different things (like a specific coding library or a photography style), I am answering for the most likely creative interpretation: a story about a . The Lens of Unit 7 Neural networks, trained on millions of high-end DSLR

In short, if a standard filter looks like a sloppy Gaussian blur, Robokeh Full is an attempt to simulate the physics of a 85mm f/1.2 lens entirely through software. To go "RoboKeh full" is to embrace the beautiful error