Layout generation as intermediate action sequence prediction

• Main Authors: YANG, Huiting, HUANG, Danqing, LIN, Chin-Yew, HE, Shengfeng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Deep Generative Models & Autoencoders; Computational Photography; Image & Video Synthesis; Deep Neural Network Algorithms; valuation and Analysis (Machine Learning); Artificial Intelligence and Robotics; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/8088; https://ink.library.smu.edu.sg/context/sis_research/article/9091/viewcontent/AAAI_layout_pvoa.pdf
• Institution: Singapore Management University

Layout generation plays a crucial role in graphic design intelligence. One important characteristic of the graphic layouts is that they usually follow certain design principles. For example, the principle of repetition emphasizes the reuse of similar visual elements throughout the design. To generat...