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 ...

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 ...

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 ...

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 ...

Abstract: Text-to-Image (T2I) diffusion models have made remarkable advancements in generative modeling; however, they face a trade-off between inference speed and image quality, posing challenges for ...

I am a student is trying to apply your method on the BUSI dataset (medical image). But I got an issue while used my trained VAE (by Laten Diffusion Models repo as you did). Problem: Cannot load ...

1 School of Electronic Information, Xijing University, Xi’an, China. 2 Department of Nuclear Medicine, Shaanxi Provincial Cancer Hospital, Xi’an, China. 3 Shaanxi University of Chinese Medicine, ...

I've been transcoding videos on handbrake using AV1 which I think is the latest encoder. AV1 on the Mac is often incredibly efficient. I'm talking 3gb -> 300mb efficient. Even tougher material with ...

Beyond tumor-shed markers: AI driven tumor-educated polymorphonuclear granulocytes monitoring for multi-cancer early detection. Clinical outcomes of a prospective multicenter study evaluating a ...

Diffusion Transformers have demonstrated outstanding performance in image generation tasks, surpassing traditional models, including GANs and autoregressive architectures. They operate by gradually ...