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A self-supervised framework can project four modalities into a shared 256-dimensional embedding space and discover aesthetic structure through iterative clustering

We present a self-supervised framework that projects four modalities (text, audio, image and video) into a shared 256-dimensional embedding space and applies iterative clustering to discover aesthetic structure.
Machine Learning30 Aug 2026

http://arxiv.org/abs/2608.27121v1