LayoutPrompter: Awaken the Design Ability of Large Language Models

1 code implementation • NeurIPS 2023 • Jiawei Lin, Jiaqi Guo, Shizhao Sun, Zijiang James Yang, Jian-Guang Lou, Dongmei Zhang

In this work, we propose LayoutPrompter, which leverages large language models (LLMs) to address the above problems through in-context learning.

In-Context Learning

A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions

no code implementations • ICCV 2023 • Jiawei Lin, Jiaqi Guo, Shizhao Sun, Weijiang Xu, Ting Liu, Jian-Guang Lou, Dongmei Zhang

To model combined and incomplete constraints, we use a Transformer-based layout generation model and carefully design a way to represent constraints and layouts as sequences.