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Zhaoyun Jiang

2 accepted papers

2023

LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction

CVPR 2023poster

Conditional graphic layout generation, which generates realistic layouts according to user constraints, is a challenging task that has not been well-studied yet. First, there is limited discussion about how to handle diverse user constraints flexibly and uniformly. Second, to make the layouts confor…

Cited by 44SourcePDFScholar
2022

Coarse-to-Fine Generative Modeling for Graphic Layouts

AAAI 2022technical

Even though graphic layout generation has attracted growing attention recently, it is still challenging to synthesis realistic and diverse layouts, due to the complicated element relationships and varied element arrangements. In this work, we seek to improve the performance of layout generation by i…

Cited by 43SourcePDFScholar