Mass General Brigham researchers are betting that the next big leap in brain medicine will come from teaching artificial ...

This repository presents Reinforcement Learning Guidance (RLG), an innovative inference-time method designed to enhance and control the alignment of diffusion models. RLG builds upon the widely used ...

Therefore, we propose a multi-interactive feature embedding learning for medical image segmentation. In the medical image reconstruction task, we aim to generate the detailed feature representations ...

We are excited to introduce HunyuanImage-2.1, a 17B text-to-image model that is capable of generating 2K (2048 × 2048) resolution images. Our architecture consists of two stages: Base text-to-image ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...

Abstract: Diffusion model has achieved excellent performance in natural image processing, which can learn the noise distribution by the degradation and restoration processes. However, the model is ...

Reno may be “the biggest little city in the world,” but it's got some serious competition from the miniature New York City that hobbyist Joseph Macken built in his upstate New York basement over two ...

Background: Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging ...