Historical context & research account
VQGAN combines convolutional encoding of local visual structure with a Transformer's capacity for broader modelling, producing high-quality discrete visual representations. It directly influences early VQGAN+CLIP art practices and contributes technical experience to later generative models operating within compressed latent spaces.
Dates & version record
Date displayed for this node：2020–2021 · Date recorded in the research master：2020–2021
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Original sources & further reading
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Taming Transformers / VQGAN
https://openaccess.thecvf.com/content/CVPR2021/html/Esser_Taming_Transformers_for_High-Resolution_Image_Synthesis_CVPR_2021_paper.html
Current cited URL
Provenance, translation & verification
Archive node #070 · Historical node
Research masters & supplement references · 1
AI Art Genealogy Research Master · p. 21 · 070
Date as recorded: 2020–2021
Taming Transformers / VQGAN ↗
Taming Transformers / VQGAN
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Cite this node
ANTI-AI ARCHIVE. Taming Transformers / VQGAN. Art-history node #070. https://salondesrefuses.cn/en/art-history/070
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