skulldc

Embeddings

  1. PAPER
    FactEmbed factorizes MLLM embeddings for composed image retrieval

    A KAIST AI paper makes an MLLM imagine the requested image edit through factorized latents before building retrieval embeddings, and reuses those latents for cheap reranking.