Research
Factorized MLLM Embeddings paper targets composed image retrieval
FactEmbed uses factorized latents that imagine intended visual modifications before building retrieval embeddings, and reportedly outperforms prior work across CIR benchmarks.
Every outlet that ran it 1 article
Hugging Face PapersResearchLead