What is recorded here?
Trained a 12-billion-parameter autoregressive transformer over text and image tokens and demonstrated text-conditioned image synthesis and concept combinations.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
This is the first DALL·E model, not DALL·E 2's unCLIP diffusion pipeline. Examples and reported evaluations are specific to the paper.
Read the original work
- Ramesh and colleagues: original DALL·E text-to-image generation — original paper
- Ramesh and colleagues: original DALL·E text-to-image generation — company research page
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People and systems
Aditya Ramesh; Mikhail Pavlov; Gabriel Goh; Scott Gray; Chelsea Voss; Alec Radford; Mark Chen; Ilya Sutskever
Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.
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English catalogue narrative
Ramesh and colleagues: original DALL·E text-to-image generation
Trained a 12-billion-parameter autoregressive transformer over text and image tokens and demonstrated text-conditioned image synthesis and concept combinations.
Scientific scope
This is the first DALL·E model, not DALL·E 2's unCLIP diffusion pipeline. Examples and reported evaluations are specific to the paper.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Aditya Ramesh; Mikhail Pavlov; Gabriel Goh; Scott Gray; Chelsea Voss; Alec Radford; Mark Chen; Ilya Sutskever
Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.