BizGen: Advancing Article-level Visual Text Rendering for Infographics Generation
Yuyang Peng, Shishi Xiao, Keming Wu, Qisheng Liao, Bohan Chen, Kevin Lin, Danqing Huang, Ji Li, Yuhui Yuan
2025Year
9Top-tier citations
Abstract
https://bizgen-msra.github.io (a) 386 characters / OCR: 93% (b) 426 characters / OCR: 96% (c) 545 characters / OCR: 99% (d) 594 characters / OCR: 99% (e) 737 characters / OCR: 97% Figure 1. Accurate article-level visual text rendering results in infographics generated with BizGen, ranging from 386 to 737 characters.
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Cited by top-tier papers9
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- IGenBench: Benchmarking the Reliability of Text-to-Infographic GenerationYinghao Tang, Xueding Liu, Boyuan Zhang, Tingfeng Lan et al.ACL 2026 · 9 citations
- GlyphPrinter: Region-Grouped Direct Preference Optimization for Glyph-Accurate Visual Text RenderingXincheng Shuai, Ziye Li, Henghui Ding, Dacheng TaoCVPR 2026 · 4 citations
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- DynamicID: Zero-Shot Multi-ID Image Personalization With Flexible Facial EditabilityXirui Hu, Jiahao Wang, Hao Chen, Weizhan Zhang et al.ICCV 2025 · 3 citations
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- Scaling Rectified Flow Transformers for High-Resolution Image SynthesisPatrick Esser, Sumith Kulal, Andreas Blattmann, Rahim Entezari et al.ICML 2024 · 3,620 citations
- T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion ModelsChong Mou, Xintao Wang, Liangbin Xie, Yanze Wu et al.AAAI 2024 · 1,641 citations
- BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained DiffusionJinheng Xie, Yuexiang Li, Yawen Huang, Haozhe Liu et al.ICCV 2023 · 313 citations
- TextDiffuser: Diffusion Models as Text PaintersJingye Chen, Yupan Huang, Tengchao Lv, Lei Cui et al.NeurIPS 2023 · 290 citations
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