AI RESEARCH
Benchmarking and Evolving Reason-Reflect-Rectify for Reflective Visual Generation
arXiv CS.CV
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ArXi:2605.19639v1 Announce Type: new Text-to-Image (T2I) models and Unified Multimodal Models (UMMs) have achieved remarkable progress in visual generation. However, their reliance on a single-pass generation paradigm limits their ability to handle complex prompts requiring iterative refinement. To enable multi-round Reflective Visual Generation (RVG), we formalize the Reason-Reflect-Rectify (R^3) loop as a core framework and