新的代理框架通过弥合上下文差距来增强图像生成 · 跟踪 6 个来源

报道来源 [6]

1. Hugging Face Daily Papers TIER_1 English(EN) · 2026-06-25 11:40

   Qwen-Image-Agent：弥合现实世界图像生成中的上下文差距

   While text-to-image (T2I) models have achieved remarkable progress, they struggle with real-world requests that are often underspecified, implicit, or dependent on up-to-date knowledge. We identify this challenge as the Context Gap: the mismatch between the user context and the s…

2. Hugging Face Daily Papers TIER_1 English(EN) · 2026-06-25 00:00

   Qwen-Image-Agent：弥合现实世界图像生成中的上下文差距

   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.

3. Hugging Face Daily Papers TIER_1 English(EN) · 2026-06-22 12:09

   RS-Gen：用于推理和搜索增强图像生成的阶段式Agent框架

   Recent years have witnessed remarkable progress in image generation and editing, particularly regarding instruction following and visual fidelity. However, when handling ambiguous intentions, logical reasoning, and Out-of-Distribution (OOD) knowledge, existing image models often …

4. arXiv cs.AI TIER_1 English(EN) · Jian Luan · 2026-06-22 12:09

   RS-Gen：用于推理和搜索增强图像生成的阶段式Agent框架

   Recent years have witnessed remarkable progress in image generation and editing, particularly regarding instruction following and visual fidelity. However, when handling ambiguous intentions, logical reasoning, and Out-of-Distribution (OOD) knowledge, existing image models often …

5. arXiv cs.CV TIER_1 English(EN) · Zekai Zhang, Jiahao Li, Jie Zhang, Kaiyuan Gao, Kun Yan, Lihan Jiang, Ningyuan Tang, Shengming Yin, Tianhe Wu, Xiaoyue Chen, Xiao Xu, Yan Shu, Yanran Zhang, Yixian Xu, Yuxiang Chen, Zhendong Wang, Zihao Liu, Zikai Zhou, Huishuai Zhang, Dongyan Zhao, Chen… · 2026-06-26 04:00

   Qwen-Image-Agent：弥合现实世界图像生成中的上下文差距

   arXiv:2606.26907v1 Announce Type: new Abstract: While text-to-image (T2I) models have achieved remarkable progress, they struggle with real-world requests that are often underspecified, implicit, or dependent on up-to-date knowledge. We identify this challenge as the Context Gap:…

6. arXiv cs.CV TIER_1 English(EN) · Chenfei Wu · 2026-06-25 11:40

   Qwen-Image-Agent：弥合现实世界图像生成中的上下文差距

   While text-to-image (T2I) models have achieved remarkable progress, they struggle with real-world requests that are often underspecified, implicit, or dependent on up-to-date knowledge. We identify this challenge as the Context Gap: the mismatch between the user context and the s…