Historical context & research account
DALL·E uses an autoregressive Transformer to model text and image tokens together, demonstrating broad compositional capabilities without task-specific examples. It makes the idea of producing a new image from a sentence publicly legible as a generative paradigm, connecting research in token modelling with a new interface to images.
Dates & version record
Date displayed for this node：2021-02 · Date recorded in the research master：2021-02
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Original sources & further reading
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Zero-Shot Text-to-Image Generation
https://arxiv.org/abs/2102.12092
Current cited URL
Provenance, translation & verification
Archive node #075 · Historical node
Research masters & supplement references · 2
AI Art Genealogy Research Master · p. 23 · 075
Date as recorded: 2021-02
Zero-Shot Text-to-Image Generation ↗
Zero-Shot Text-to-Image Generation
GenAI Visual Release Chronology Research Master · p. 2 · R003
Date as recorded: 2021-02
Zero-Shot Text-to-Image Generation ↗
DALL·E — Zero-Shot Text-to-Image Generation
Archive account adapted from the masters, not a full translation of the linked work. AI-assisted translation; human review pending.
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Cite this node
ANTI-AI ARCHIVE. Zero-Shot Text-to-Image Generation. Art-history node #075. https://salondesrefuses.cn/en/art-history/075
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