Historical context & research account
VQ-VAE learns a discrete codebook that compresses high-dimensional inputs into combinable representations. DALL·E, VQGAN and several autoregressive image models subsequently draw on the idea of visual tokens. The node concerns the representation of images in units that can participate in learned sequences and generative processes.
Dates & version record
Date displayed for this node：2017 · Date recorded in the research master：2017
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Original sources & further reading
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Neural Discrete Representation Learning
https://arxiv.org/abs/1711.00937
Current cited URL
Provenance, translation & verification
Archive node #058 · Historical node
Research masters & supplement references · 1
AI Art Genealogy Research Master · p. 18 · 058
Date as recorded: 2017
Neural Discrete Representation Learning ↗
Neural Discrete Representation Learning
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Cite this node
ANTI-AI ARCHIVE. Neural Discrete Representation Learning. Art-history node #058. https://salondesrefuses.cn/en/art-history/058
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