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Hi! Thanks so much for the great work on MAISI model.
According to the paper, the VAE is trained on random cropped patches of size [64,64,64] and later [128,128,128]. Could you please clarify how latent features are handled when performing inference / training of LDM on larger full-volume inputs? Looking forward to your insights!
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Hi! Thanks so much for the great work on MAISI model.
According to the paper, the VAE is trained on random cropped patches of size [64,64,64] and later [128,128,128]. Could you please clarify how latent features are handled when performing inference / training of LDM on larger full-volume inputs? Looking forward to your insights!
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