A research team led by the University of Texas has come up with a model called Ambient Diffusion which they claim “gets around” the issue of copyright and AI image generators by feeding the model images that have pixels missing — in some cases as much as 93%. “Early efforts suggest the framework is able to continue to generate high-quality samples without ever seeing anything that’s recognizable as the original source images,” reads a press release.
Source: AI Image Generator Avoids Copyright Issues by Training on Corrupted Photos