Reproduce “TextVerifier: Seeing Beyond Recognition to Verify Chinese Text Rendering” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Yiyang Chen, Guo-Hua Wang, Yaoli Liu, Qing-Guo Chen, Zhao Xu, Weihua Luo, Xiujun Ma
TEXTVERIFIER checks whether generated Chinese character crops correctly render their intended characters. It compares each crop with an IDS description of the target’s components and spatial structure. On TEXTRENDERBENCH-ZH, it reaches an F1 of 0.844, compared with 0.590 for TextPecker and 0.526 for PP-OCRv6’s test-set-tuned threshold. The benchmark covers generated Chinese, with character locations and identities supplied.
Summary by alphaXiv.
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.