ImageRAG brings search references to image generators
Researchers just introduced ImageRAG, a training-free framework that pulls reference images to help diffusion models draw rare and fine-grained concepts. Instead of retraining models from scratch, it uses a vision-language model to spot missing details in a draft and fetches matching images to guide generators like SDXL and OmniGen. Why it matters: It fixes text-to-image blind spots without costly retraining.