ImageRAG: Dynamic Image Retrieval for Reference-Guided Image Generation

Understand

Diffusion models enable high-quality and diverse visual content synthesis.

• However, they struggle to generate rare or unseen concepts.
• To address this challenge, we explore the usage of Retrieval-Augmented Generation (RAG) with image generation models.
• We propose ImageRAG, a method that dynamically retrieves relevant images based on a given text prompt, and uses them as context to guide the generation process.