DeepMind’s Zipper: Fusing Unimodal Generative Models into Multimodal Powerhouses

In a new paper Zipper: A Multi-Tower Decoder Architecture for Fusing Modalities, a Google DeepMind research team introduces Zipper, a multi-tower decoder architecture. This architecture can flexibly combine multimodal generative models from independently pre-trained unimodal decoders and can be reused and repurposed in new multimodal combinations.