Beyond the Noise: Aligning Prompts with Latent Representations in Diffusion Models

This article, sourced from ArXiv, likely discusses a research paper focusing on improving the performance of diffusion models. The title suggests an exploration of how to better connect textual prompts with the internal representations (latent space) used by these models to generate images or other outputs. The focus is on moving beyond the inherent noise in the process to achieve better alignment, which would lead to more accurate and relevant results.