Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

While the capabilities of robots have improved significantly over the past decades, they are not always able to reliably and ...

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Abstract: Diffusion models are a type of generative deep learning model that can process medical images more efficiently than traditional generative models. They have been applied to several medical ...

This is the official pytorch code for "SHMT: Self-supervised Hierarchical Makeup Transfer via Latent Diffusion Models", which has been accepted by NeurIPS2024. Our paper SHMT was accepted by ...

The principled method for efficiently combining multiple pre-trained diffusion models solely during inference! We provide a new approach for estimating density without touching the divergence. This ...

Abstract: Image denoising is a fundamental problem in computational photography, where achieving high perception with low distortion is highly demanding. Current methods either struggle with ...

Global adoption of artificial intelligence continued to rise in the second half of 2025, increasing by 1.2 percentage points compared to the first half of the year, with roughly one in six people ...

The effects of CO2 regulation on cement production 04 September 2019 . Forgive the poor image quality but our magazine editor Peter Edwards spotted this provocative graphic (above ...