An initial continuous autoencoder training phase prevents dimensional collapse in VQ-VAEs and yields lower reconstruction and perceptual losses.
At 128×128 input resolution each image is tokenized to an 8×8 grid of 64 discrete tokens
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Continuous First, Discrete Later: VQ-VAEs Without Dimensional Collapse
An initial continuous autoencoder training phase prevents dimensional collapse in VQ-VAEs and yields lower reconstruction and perceptual losses.