Researchers at New York University have developed a new architecture for diffusion models that improves the semantic representation of the images they generate. “Diffusion Transformer with ...

1 School of Science, Tianjin University of Technology and Education, Tianjin, China. 2 School of Big Data, Lvliang Vocational and Technical College, Lvliang, China. Early image segmentation was mainly ...

The idea of using the Apple II home computer for digital photography purposes may seem somewhat daft considering that this is not a purpose that they were ever designed for, yet this is the goal that ...

With the help of Stable Diffusion 3, researchers at the University of Tokyo have discovered a way to use AI and Wi-Fi signal information to map a real-time image of a room and the people or objects ...

The developed model modified Schrödinger bridge-type diffusion models to add noise to real data through the encoder and reconstructed samples through the decoder. It uses two objective functions, the ...

Advance in optical computing may lead to ultrafast and secure image generators while using less energy. (Nanowerk News) Today’s popular chatbots and image generators have a severe downside for the ...

Today’s popular chatbots and image generators have a severe downside for the environment. These examples of generative artificial intelligence leave a substantial carbon footprint due to outsized ...

Hello, I was trying to understand the importance of the modules in your framework and accordingly I was following the instructions given in the ablation study. This is how I changed the code as per ...

Abstract: Multimodal medical image fusion (MMIF) extracts the most meaningful information from multiple source images, enabling a more comprehensive and accurate diagnosis. Achieving high-quality ...

TL;DR: AMD and Stability AI have unveiled the world's first FP16 Stable Diffusion 3.0 Medium model, optimized for Ryzen AI 300 Series XDNA 2 NPUs, which delivers enhanced AI image generation quality ...