ANTI-AI ARCHIVE
ART-HISTORY NODE / 119 · 2021-01

DALL·E announced

DALL·E announced

OpenAI

Introduction

Large-scale text-to-image generation becomes a clearly legible product/research category before the diffusion wave. The announcement and paper publication are recorded separately.

ORIGINAL DOCUMENT#119
Compositional generation examples from Figure 2 of the DALL·E paper, retaining the original objects and prompts. From the February 2021 paper, following the January announcement.View full image ↗

Compositional generation examples from Figure 2 of the DALL·E paper, retaining the original objects and prompts. From the February 2021 paper, following the January announcement.

Aditya Ramesh et al. / OpenAI · Rights in the original image and document remain with their respective holders

Source · Zero-Shot Text-to-Image Generation ↗

RESEARCH ACCOUNT

Combinations in language become demonstrable visual generation.

ANTI-AI ARCHIVE · Revised 2026-10-02

Release and use

The January 2021 DALL·E announcement demonstrates attributes, spatial relations and unusual combinations using a transformer trained on image–text pairs. Samples are ranked with CLIP, and the page describes its selection procedure. Demonstration, subsequent paper and accessible product are distinct historical records.

Section sources: DALL·E announced

Change in creative practice

Language both requests an image and frames its interpretation. Comparisons should retain prompts and selection procedures: a presented sample set does not establish equivalent success for arbitrary inputs.

Section sources: DALL·E announced

Sources for this account

DALL·E announced ↗

Official release scope and demonstration descriptions read; vendor performance claims are not treated as independent test results.

This account expands the archive within the cited scope. Historical interpretation is not presented as the original author’s statement or as a proven causal influence. The account and translation are AI-assisted, pending independent human review. Section references identify evidence without claiming independent verification of every historical statement.

Continue with a comparative question

Zero-Shot Text-to-Image Generation ↗

Compare the methods, forms of control or presentation contexts of this entry and Zero-Shot Text-to-Image Generation.

CLIP announced ↗

Compare the methods, forms of control or presentation contexts of this entry and CLIP announced.

Dates & version record

Date displayed for this node: 2021-01 · Historical date recorded for the source: 2021-01

Month or year precision follows the master; an exact release date awaits independent verification.

These dates refer to the historical event or recorded version, not this page’s publication date. The original date precision and unresolved questions are retained.

Original sources & further reading

These links lead to the cited paper, article, institution or conference page. External texts retain their source languages.

01
DALL·E announced ↗

DALL·E announced

https://openai.com/index/dall-e/

Current cited URL

This is the archive’s bilingual research abstract. The external link is an original source, not a claim that the publisher offers full text in both languages.

Provenance, translation & verification

Timeline entry #119 · Model

Research materials & supplement references · 1

GenAI Visual Release Chronology Research Master · p. 2 · R002
Date as recorded: 2021-01
DALL·E announced ↗
DALL·E announced

Archive account based on the listed research materials, not a full translation of the linked work. AI-assisted translation; independent human review pending.

The master’s research claims and dates await independent verification.

Cite this node

ANTI-AI ARCHIVE. DALL·E announced. Art-history node #119. https://salondesrefuses.cn/en/art-history/142

For specific historical claims, also cite the original sources above and include your access date. This account is not a full translation of the linked work.

Adjacent nodes follow chronological order; adjacency does not establish direct influence or causation.