[论文] DanceOPD: On-Policy Generative Field Distillation

论文概要

研究领域: NLP 作者: Wei Zhou, Xiongwei Zhu, Zelin Xu 发布时间: 2026-06-27 arXiv: 2606.27377

中文摘要

Modern image generation demands a single model that unifies diverse capabilities, including text-to-image (T2I), local editing, and global editing. However, these capabilities are rarely naturally aligned and often conflict. For instance, editing tends to degrade T2I performance, while global and lo...

原文摘要

Modern image generation demands a single model that unifies diverse capabilities, including text-to-image (T2I), local editing, and global editing. However, these capabilities are rarely naturally aligned and often conflict. For instance, editing tends to degrade T2I performance, while global and local editing interfere with each other. Consequently, effectively composing these capabilities has become a central challenge for image generation model training. To tackle this, we introduce DanceOPD,...

--- *自动采集于 2026-06-27*

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