“Automatic Layout Generation for Graphical Design Magazines” by Tabata and Maeda
Conference:
Type(s):
Entry Number: 09
Title:
- Automatic Layout Generation for Graphical Design Magazines
Presenter(s)/Author(s):
Abstract:
We propose a system that automatically generates layouts for magazines that require graphical design. In this system, when images or texts are input as the content to be placed in layouts, an appropriate layout is automatically generated in consideration of content and design. The layout generation process is performed by randomized processing in accordance with a rule set of minimum conditions that must be satisfied for layouts (minimum condition rule set), where a large number of candidates are generated. The appearance, style, design, and composition of the work are evaluated by a learning-to-rank estimator, top scores are returned to the user. Users can greatly improve the efficiency of layout creation/editing by selecting from among automatically generated candidate layouts.
References:
- Jianan Li, Jimei Yang, Aaron Hertzmann, Jianming Zhang, and Tingfa Xu. 2019. LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators. arXiv preprint arXiv:1901.06767 (2019).
- Ramprasaath R Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra. 2017. Grad-cam: Visual explanations from deep networks via gradient-based localization. In Proceedings of the IEEE International Conference on Computer Vision. 618–626.
- Yandong Wen, Kaipeng Zhang, Zhifeng Li, and Yu Qiao. 2016. A discriminative feature learning approach for deep face recognition. In European conference on computer vision. Springer, 499–515.
- Xiao Yang, Ersin Yumer, Paul Asente, Mike Kraley, Daniel Kifer, and C Lee Giles. 2017. Learning to extract semantic structure from documents using multimodal fully convolutional neural networks. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 5315–5324.
- Nanxuan Zhao, Ying Cao, and Rynson WH Lau. 2018. What characterizes personalities of graphic designs? ACM Transactions on Graphics (TOG) 37, 4 (2018), 116.
