O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

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

In intensive care units, some patients who appear unconscious occupy a gray zone in their relationship to the world. To ...

In this work, we extend diffusion solvers to efficiently handle general noisy (non)linear inverse problems via the approximation of the posterior sampling. Interestingly, the resulting posterior ...

Check our latest work DeepCache, a training-free and almost loessless method for diffusion model acceleration. It can be viewed as a special pruning technique that dynamically drops deep layers and ...

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 ...

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 ...