Abstract: Pluralistic Image Inpainting (PII) offers multiple plausible solutions for restoring missing parts of images and has been successfully applied to various applications including image editing ...

In a major leap for artificial intelligence (AI) and photonics, researchers at the University of California, Los Angeles (UCLA) have created optical generative models capable of producing novel images ...

A mystery 'nano banana' image editing model climbed the charts. DeepMind was secretly behind the model, which is now available. Users can get started for free in the Gemini app. On Tuesday, Google ...

The mysterious nano-banana image model has been revealed as Google's Gemini 2.5 Flash Image. Google's new AI model tops LMArena image editing leaderboard with 1,362 ELO points, far ahead of ...

During sleep, the human brain sorts through different memories, consolidating important ones while discarding those that don’t matter. What if AI could do the same? Bilt, a company that offers local ...

Captured at a location called “Falbreen,” this 360-degree view mosaic was stitched together 96 images that were acquired May 26, 2025. In the upper image, the enhanced-color mosaic features ...

The Kidney Intelligent Diagnosis System (KIDS) uses retinal images for noninvasive CKD diagnosis, reducing the need for renal biopsies. The model achieved high accuracy, with an AUC of 0.839-0.993 for ...

Copilot 3D will turn your 2D images into 3D models. The tool is freely available to anyone, though you do need a Microsoft account. Microsoft suggests using an image with a single subject, even ...

AI world models have many limitations, but Genie 3 offers improvements like real-time interaction and better memory. AI world models have many limitations, but Genie 3 offers improvements like ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A team of researchers from leading ...

Abstract: To achieve saliency prediction in omnidirectional images (ODIs), the majority of prior works typically adopt the convolutional neural networks (CNNs)-based saliency models to extract ...