LeX-Art: Rethinking Text Generation via Scalable High-Quality Data Synthesis Article Swipe

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Shitian Zhao , Qilong Wu , Xinyue Li , Bo Zhang , Ming D. Li , Qi Qin , Dongyang Liu , Kaipeng Zhang , Hongsheng Li , Yu Qiao , Peng Gao , Bin Fu , Zhen Li ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2503.21749

We introduce LeX-Art, a comprehensive suite for high-quality text-image synthesis that systematically bridges the gap between prompt expressiveness and text rendering fidelity. Our approach follows a data-centric paradigm, constructing a high-quality data synthesis pipeline based on Deepseek-R1 to curate LeX-10K, a dataset of 10K high-resolution, aesthetically refined 1024$\times$1024 images. Beyond dataset construction, we develop LeX-Enhancer, a robust prompt enrichment model, and train two text-to-image models, LeX-FLUX and LeX-Lumina, achieving state-of-the-art text rendering performance. To systematically evaluate visual text generation, we introduce LeX-Bench, a benchmark that assesses fidelity, aesthetics, and alignment, complemented by Pairwise Normalized Edit Distance (PNED), a novel metric for robust text accuracy evaluation. Experiments demonstrate significant improvements, with LeX-Lumina achieving a 79.81% PNED gain on CreateBench, and LeX-FLUX outperforming baselines in color (+3.18%), positional (+4.45%), and font accuracy (+3.81%). Our codes, models, datasets, and demo are publicly available.

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2503.21749
PDF: https://arxiv.org/pdf/2503.21749
OA Status: green
OpenAlex ID: https://openalex.org/W4415063940

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DOI: https://doi.org/10.48550/arxiv.2503.21749

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Title: LeX-Art: Rethinking Text Generation via Scalable High-Quality Data Synthesis

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Type: preprint

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Language: en

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Publication year: 2025

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Publication date: 2025-03-27

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Authors: Shitian Zhao, Qilong Wu, Xinyue Li, Bo Zhang, Ming D. Li, Qi Qin, Dongyang Liu, Kaipeng Zhang, Hongsheng Li, Yu Qiao, Peng Gao, Bin Fu, Zhen Li

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Landing page: https://arxiv.org/abs/2503.21749

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Cited by: 0

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