Qwen-Image-Agent: Bridging the Context Gap in Real-World Image Generation
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 thr…
Hugging Face · Daily Papers
·Zekai Zhang, Jiahao Li
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·▲ 40 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Zekai Zhang, Jiahao Li, Jie Zhang, Kaiyuan Gao, Kun Yan, Lihan Jiang
- 40 upvotes da comunidade
- Temas: text-to-image models, context gap, agentic framework, context-aware planning, context grounding, image agent bench
Resumo
Resumo original (em inglês), extraído do paper:
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.Onde ler
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