Diffusion models, a powerful and universal generative AI technology, have achieved
tremendous success in computer vision, audio, reinforcement learning, and computational …

Modern artificial intelligence (AI) systems are powered by foundation models. This paper
presents a new set of foundation models, called Llama 3. It is a herd of language models …

This study explores the role of cross-attention during inference in text-conditional diffusion
models. We find that cross-attention outputs converge to a fixed point after few inference …

Generative AI has redefined artificial intelligence, enabling the creation of innovative content
and customized solutions that drive business practices into a new era of efficiency and …

Diffusion models (DMs) have established themselves as the state-of-the-art generative
modeling approach in the visual domain and beyond. A crucial drawback of DMs is their …

Diffusion regulates a phenomenal number of natural processes and the dynamics of many
successful generative models. Existing models to learn the diffusion terms from …

Audio-based generative models for music have seen great strides recently, but so far have
not managed to produce full-length music tracks with coherent musical structure. We show …

Image-generation diffusion models have been fine-tuned to unlock new capabilities such as
image-editing and novel view synthesis. Can we similarly unlock image-generation models …

We propose Magic Clothing, a latent diffusion model (LDM)-based network architecture for
an unexplored garment-driven image synthesis task. Aiming at generating customized …

This paper unveils Dimba, a new text-to-image diffusion model that employs a distinctive
hybrid architecture combining Transformer and Mamba elements. Specifically, Dimba …