Combinatorial optimization of graphical user interface designs

A Oulasvirta, NR Dayama, M Shiripour… - Proceedings of the …, 2020 - ieeexplore.ieee.org
The graphical user interface (GUI) has become the prime means for interacting with
computing systems. It leverages human perceptual and motor capabilities for elementary …

Layoutdm: Discrete diffusion model for controllable layout generation

N Inoue, K Kikuchi, E Simo-Serra… - Proceedings of the …, 2023 - openaccess.thecvf.com
Controllable layout generation aims at synthesizing plausible arrangement of element
bounding boxes with optional constraints, such as type or position of a specific element. In …

Intelligent layout generation based on deep generative models: A comprehensive survey

Y Shi, M Shang, Z Qi - Information Fusion, 2023 - Elsevier
Layout generation, as a crucial stage in Artificial Intelligence-Generated Content (AIGC) task
information presentation generation, is a fascinating and significant research topic …

Rico: A mobile app dataset for building data-driven design applications

B Deka, Z Huang, C Franzen, J Hibschman… - Proceedings of the 30th …, 2017 - dl.acm.org
Data-driven models help mobile app designers understand best practices and trends, and
can be used to make predictions about design performance and support the creation of …

Layoutdiffusion: Improving graphic layout generation by discrete diffusion probabilistic models

J Zhang, J Guo, S Sun, JG Lou… - Proceedings of the …, 2023 - openaccess.thecvf.com
Creating graphic layouts is a fundamental step in graphic designs. In this work, we present a
novel generative model named LayoutDiffusion for automatic layout generation. As layout is …

Data-driven interior plan generation for residential buildings

W Wu, XM Fu, R Tang, Y Wang, YH Qi… - ACM Transactions on …, 2019 - dl.acm.org
We propose a novel data-driven technique for automatically and efficiently generating floor
plans for residential buildings with given boundaries. Central to this method is a two-stage …

Layoutgan: Generating graphic layouts with wireframe discriminators

J Li, J Yang, A Hertzmann, J Zhang, T Xu - arXiv preprint arXiv:1901.06767, 2019 - arxiv.org
Layout is important for graphic design and scene generation. We propose a novel
Generative Adversarial Network, called LayoutGAN, that synthesizes layouts by modeling …

Content-aware generative modeling of graphic design layouts

X Zheng, X Qiao, Y Cao, RWH Lau - ACM Transactions on Graphics …, 2019 - dl.acm.org
Layout is fundamental to graphic designs. For visual attractiveness and efficient
communication of messages and ideas, graphic design layouts often have great variation …

Layoutdm: Transformer-based diffusion model for layout generation

S Chai, L Zhuang, F Yan - … of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
Automatic layout generation that can synthesize high-quality layouts is an important tool for
graphic design in many applications. Though existing methods based on generative models …

Vins: Visual search for mobile user interface design

S Bunian, K Li, C Jemmali, C Harteveld, Y Fu… - Proceedings of the …, 2021 - dl.acm.org
Searching for relative mobile user interface (UI) design examples can aid interface
designers in gaining inspiration and comparing design alternatives. However, finding such …