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MIT Critical Data, Massachusetts Institute of Technology, Cambridge, MA, USA., Department of Ophthalmology, Federal University of S茫o Paulo, Brazil.
MIT CSAIL2
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You can boost medical image super-resolution fidelity by over 3dB just by swapping in a domain-specific VAE, no fancy diffusion architecture needed.
Medical vision-language models perform better when the modality gap is tuned to an intermediate level, challenging the assumption that minimizing it is always optimal.
