LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction
Author:
Affiliation:
1. Xi'an Jiaotong University
2. Microsoft Research Asia
3. Shanghai Jiaotong University
4. Beihang University
5. Microsoft
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204432.pdf?arnumber=10204432
Reference30 articles.
1. Neural design network: Graphic layout generation with constraints;lee;Computer Vision - ECCV 2020,2020
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4. PubLayNet: Largest Dataset Ever for Document Layout Analysis
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