Photoshop cc tutorial showing how to add a romantic, star-diffusion (twinkle) effect to your photos and then confine the effect to specific areas. Carney hits back at Trump over Canada statement The ...

With so much money flooding into AI startups, it’s a good time to be an AI researcher with an idea to test out. And if the idea is novel enough, it might be easier to get the resources you need as an ...

ABSTRACT: The golden age of digital chips seems to be coming to an end. For decades, we have relied on making transistors smaller and increasing clock speeds to improve performance. However, when chip ...

Artificial Intelligence has reached a point where machines don’t just follow instructions—they “pick up” patterns and behaviors by watching examples, much like humans do. This phenomenon is known as ...

Abstract: Diffusion models have garnered significant attention for MRI Super-Resolution (SR) and have achieved promising results. However, existing diffusion-based SR models face two formidable ...

A few years ago, a new kind of AI called a diffusion model appeared. Today, it powers tools like Stable Diffusion and Runway Gen-2, turning text prompts into high-quality images and even short videos.

We propose Model-guidance (MG) for training diffusion models, remove the commmonly used Classifier-free guidance (CFG), and achieve SOTA on ImageNet-256 conditional generation with FID=1.34. We list ...

Abstract: This paper introduces a diffusion model that replaces the target prior distribution from a standard Gaussian to non-zero-mean Gaussian priors, with shifted latent trajectories determined by ...

Diffusion models gradually refine and produce a requested output, sometimes starting from random noise—values generated by the model itself—and sometimes working from user-provided data. Think of ...

Previous high-order solvers are unstable for guided sampling: Samples use the pre-trained DPMs on ImageNet 256 256 with a classifier guidance scale 8.0, varying different samplers (and different ...