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Found 2 papers, 1 papers with code
LayoutPrompter: Awaken the Design Ability of Large Language Models
In this work, we propose LayoutPrompter, which leverages large language models (LLMs) to address the above problems through in-context learning.
LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction
First, to flexibly handle diverse constraints, we propose a constraint serialization scheme, which represents different user constraints as sequences of tokens with a predefined format.
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