Abstract—As the amount of multimedia data grows larger and multi-modal information is widespread, requirements for methods are increasing which can be used to analyze composite information and retrieve related items of one modality based on another modality. For contents-based retrieval, models that incorporate multiple modalities concurrently are recognized as a mandatory approach. In this study, we propose a method to reconstruct and retrieve images based on text-to-image cross-modal recall by hypernetworks. In our method, a probabilistic graphical model called hypernetwork learns the