Fabrizio Spera

Seeing the imagined: a latent functional alignment in visual imagery decoding from fMRI data

This work proposes a latent functional alignment (LFA) approach that maps imagery-evoked activity to the pretrained model's semantic content-enriched conditioning space, by adding a simple alignment module, while keeping the original remaining components frozen.