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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 ...
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Tech Xplore on MSNA thermodynamic approach to machine learning: How optimal transport theory can improve generative models
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 ...
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.
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 ...
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