Saturday, 10 October 2026 · 6 min read
UltraText Bench evaluates dense bilingual visual text rendering in image generation
UltraText Bench is a bilingual benchmark with 432 prompts across 24 scene categories and three difficulty levels, assessing image generators on dense visual text reproduction in English and Chinese using a vision-language model for multi-dimensional scoring.
Based on the paper UltraText Bench: A Comprehensive Bilingual Benchmark for Evaluating Visual Text Rendering in Image Generation by Deyuan Liu, Yihao Hu, Jingxuan Zhang, Xingying Li and 12 others
Challenges in dense visual text rendering for image generation
Text-to-image models have improved in rendering short text strings, but reproducing long, dense visual text across multiple regions with correct placement and legibility remains challenging.
Applications like posters, receipts, and interfaces require sustained performance in rendering many text regions accurately, as errors in any region can mislead despite overall image quality.
Evaluating such dense text generation demands benchmarks that provide exact target strings for multiple regions and assess correctness, legibility, placement, and integration with the scene comprehensively.
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