Yazhen Xie

The work introduces IDSpect: it recursively decomposes target Chinese characters into Ideographic Description Sequence (IDS) tokens using the Unicode 16.0 BabelStone lexicon, trains an expert IDS recognizer built on an SVTRv2 backbone with an NRTR-style decoder to transcribe rendered text regions directly into IDS sequences, and fuses a token-level F1 with globally unique token credit against a whole-character semantic reward, so that GRPO post-training of Qwen-Image improves structural quality and semantic alignment on LongText and GenTextEval without changing the image generator or adding inference-time cost.

The work introduces IDSpect: it recursively decomposes target Chinese characters into Ideographic Description Sequence (IDS) tokens using the Unicode 16.0 BabelStone lexicon, trains an expert IDS recognizer built on an SVTRv2 backbone with an NRTR-style decoder to transcribe rendered text regions directly into IDS sequences, and fuses a token-level F1 with globally unique token credit against a whole-character semantic reward, so that GRPO post-training of Qwen-Image improves structural quality and semantic alignment on LongText and GenTextEval without changing the image generator or adding inference-time cost.