Image generation improves through verified repairs without retraining the generator

Han and colleagues report higher checklist accuracy on two benchmarks using iterative prompt repair, validated strategy reuse and offline training of the image judge.

Chinese Tech
Shuo Han · Zhilin Wang · Peng Ling · Wenjia Gong · Yang Liu · Guanjun Jiang · +2 more

University of Science and Technology of China · Qwen Business Unit of Alibaba, Alibaba Token Hub · Xidian University

Research Digest··2 min read
Illustration: Image generation improves through verified repairs without retraining the generator
Han and colleagues introduce ImageRSI, a system that checks generated images, repairs their prompts and saves repair strategies only after comparative testing.

The system parses each request into requirements, retrieves relevant stored strategies and, when needed, external knowledge, then generates an image.

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