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Qwen-Image-Agent: Bridging the Context Gap in Real-World Image Generation research paper by Alibaba (Qwen), 2026

Alibaba (Qwen) · Jun 25, 2026 · Agents and evaluation · 7 citations · 55 upvotes · unverified

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What it shows

A unified agentic framework called Qwen-Image-Agent is proposed to address the context gap in text-to-image generation by progressively constructing complete generation context through planning, reasoning, searching, and memory mechanisms.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Zekai Zhang, Jiahao Li, Jie Zhang and 18 more
arXiv
2606.26907 · PDF
Venue
arXiv.org
Citations
7, 1 influential · Semantic Scholar
Upvotes
55 · Hugging Face
Lab
Alibaba (Qwen) · on Companies · on Quarterly

Changes

What changed
Influential citationsfirst count: 1Sep 25, 2026
Citationsfirst count: 7Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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