ZUNA1.1 is a 380M-parameter masked diffusion autoencoder
for EEG signal reconstruction. It can denoise existing channels, reconstruct missing
channels, and upsample sparse montages — all conditioned on 3D scalp electrode coordinates.
Upload a .fif EEG file or select a sample, specify channels to repair, and click Reconstruct.