A few small tweaks like defining lighting, framing, and even fonts can completely change what AI image tools produce ...

Black Forest Labs has long punched above its weight in the AI image generation space. Its next move? Powering physical AI.

Abstract: Fully-supervised deep neural networks have achieved remarkable progress in medical image segmentation, yet they heavily rely on extensive manually labeled data and exhibit inflexibility for ...

Hi, thank you for the awesome work! i was trying to reproduce the segmentation of ACDC dataset from huggingface. However, i get no segmentation mask from a small ...

Aiming at the problems of intensity inhomogeneity, boundary blurring and noise interference in the segmentation of three-dimensional volume data (such as medical images and industrial CT data). In ...

Thank you for open-sourcing SAM 3! It is a fantastic leap forward in promptable segmentation. I am particularly interested in the Promptable Concept Segmentation (PCS) task for videos, as described in ...

This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual information ...

The model that recently went viral is improved with Gemini 3 Pro. The model that recently went viral is improved with Gemini 3 Pro. is a deputy editor and Verge co-founder with a passion for ...

A few days ago, Google finally explained why its best AI image generation model is called Nano Banana, confirming speculation that the moniker was just a placeholder that stuck after the model went ...

A research team led by Prof. WANG Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, recently proposed a semi-supervised ...