An initial continuous autoencoder training phase prevents dimensional collapse in VQ-VAEs and yields lower reconstruction and perceptual losses.
Early quan- tization shrinks codebook: A simple fix for diversity-preserving tokenization.arXiv preprint arXiv:2603.17052
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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.