As the underlying computing power improves, diffusion models are being repurposed to simulate, predict and generate outcomes ...

Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...

Diffusion probabilistic models (DPMs) have achieved impressive success in high-resolution image synthesis, especially in recent large-scale text-to-image generation applications. An essential ...

Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...

Current diffusion-based AI models can and will reproduce copyrighted images from its data set, though rarely. It will get worse the bigger these systems become.

New research shows that threat actors can easily implant backdoors in diffusion models used in DALL-E 2 and open-source text-to-image models.

And by training their own AI models, the researchers found that diffusion models have a tendency to memorize images more than GANs. Eric Wallace, one of the paper's authors, shared some personal ...

AI image generators like Stable Diffusion and DALL-E amplify bias in gender, race and beyond, despite efforts to detoxify the data fueling these results.

Stability says that the Stable Diffusion 3.5 models should generate more “diverse” outputs — that is to say, images depicting people with different skin tones and features — without the ...