India, March 6 -- Creating high-quality 3D assets has traditionally been a time-consuming and technically demanding process. Even experienced artists spend hours refining geometry, optimizing topology ...

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 ...

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

In recent years, the rapid development of machine vision based on artificial intelligence (AI) has gained increasing attention in agriculture (Abbasi et al., 2022; Maraveas, 2024). This becomes ...

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 ...

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