O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

While the capabilities of robots have improved significantly over the past decades, they are not always able to reliably and ...

Perovskite solar cells (PSCs) have emerged as promising alternative for next generation photovoltaics due to their superior power conversion efficiencies (record currently at 34.9% for ...

Abstract: Existing diffusion models for low-light image enhancement typically incrementally remove noise introduced during the forward diffusion process using a denoising loss, with the process being ...

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 ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

AMD has officially enabled Stable Diffusion on its latest generation of Ryzen AI processors, bringing local generative AI image creation to systems equipped with XDNA 2 NPUs. The feature arrives ...

Researchers at the University of California San Diego and other institutions are working on a way to make a type of artificial intelligence (AI) called diffusion models — a type of AI that can ...

1 Prairie View A&M University, Electrical and Computer Engineering, Texas A&M University System, Prairie View, TX, United States 2 Texas Juvenile Crime Prevention Center, Prairie View A&M University, ...