Google's new default model for generating images, Nano Banana 2 offers faster speeds, better text rendering, and higher resolutions than its predecessor.

The rapid evolution of spatial computing necessitates asset-creation methods that transcend the constraints of manual modeling. Tripo AI has introduced an enterprise-focused framework designed to ...

Dry eye disease is a common ocular condition that can significantly impair quality of life, and dysfunction of the meibomian glands is a major contributing factor. Advances in infrared meibography ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...

Can AI image models preserve identity across edits, follow complex instructions, and combine existing assets without visual ...

How is AI-enabled imaging complementing, augmenting or otherwise impacting existing methods and decision-making?

Abstract: Palm-vein recognition is gaining significant attention as a high-security biometric recognition technology. However, the vein image acquisition process is easily affected by several factors, ...

What’s happened? Microsoft AI has unveiled the slightly clunkily named MAI-Image-1, its in-house text-to-image system. The pitch is straightforward, generate useful pictures quickly, not flashy demos ...

Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical researchers take when running a new study involving biomedical images. For ...

Abstract: Medical image segmentation is critical for disease diagnosis and treatment assessment. However, concerns regarding the reliability of segmentation regions persist among clinicians, mainly ...