TL;DR of the paper, generated automatically.

Finds images from a reference picture plus a text edit.

• Method: the model imagines the target through factorized latents first.
• Reranking: mean-pooled latents rerank a short list at negligible cost.
• Results: beats prior work on composed image retrieval, per the paper.