Google Brain and DeepMind researcher Andrew Dai, believes that learning from, and reasoning about, images is fundamental to rapid intelligence gains.

Nemotron-Labs-Diffusion, NVIDIA’s new tri-mode language model, eliminates the separate draft model in speculative decoding: ...

The generative AI in computer vision market offers opportunities in automated image editing, medical imaging, VR content, and ...

Katelyn is a reporter with CNET covering artificial intelligence, including chatbots, image and video generators. Her work ...

Turning a static image into a publish-ready video used to require a production crew, editing software, and hours of rendering time.

Generative AI and Recurrent Networks run on Q.ANT's Second-Generation Photonic Processor Complexity Model Graph Climbing the complexity ladder of AI Models Second Generation NPU Q.ANT Native ...

Abstract: Food image generation is a typical application of text-to-image (T2I) models. The core difference between food image synthesis and other T2I tasks is that there exist complex collaborative ...

We present Diffusion-4K, a novel framework for direct ultra-high-resolution image synthesis using text-to-image diffusion models. The core advancements include: (1) Aesthetic-4K Benchmark: addressing ...

To create coherent images or videos, generative AI diffusion models like Stable Diffusion or FLUX have typically relied on external "teachers"—frozen encoders like CLIP or DINOv2—to provide the ...

This repository contains the full codebase developed at Helmholtz Munich for the CytoDiff project. The goal is to improve white blood cell image classification by augmenting real-world datasets with ...