DIG: Complex Layout Document Image Generation with Authentic-looking Text for Enhancing Layout Analysis
Figure 1: Generate corresponding document images based on the existing layout.One layout can generate an infinite number of diverse document images with complex layout and authentic-looking text.
Authors
- Fengchang Yu (ORCID: https://orcid.org/0000-0002-6503-4688)
- Dehao Ying
- Haihua Chen (ORCID: https://orcid.org/0000-0002-7088-9752)
- Wei Lu (ORCID: https://orcid.org/0000-0002-0929-7416)
Institutions
- University of North Texas (US)
- Wuhan University (CN)
Publication Details
- Published
- 2024-10-26
- DOI
- https://doi.org/10.1145/3664647.3681609
- Citations
- 1
- Primary Topic
- Handwritten Text Recognition Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.25
Funders
- National Natural Science Foundation of China
- National Science and Technology Major Project
- Natural Science Foundation for Young Scientists of Shanxi Province
- Young Scientists Fund