6 citations · 28 across the 9 of their papers we have counts for
9 papers
LayoutPrompter: Awaken the Design Ability of Large Language Models
Jiawei Lin, Jiaqi Guo, Shizhao Sun +3
Conditional graphic layout generation, which automatically maps user constraints to high-quality layouts, has attracted widespread attention today. Although recent works have achie…
A Survey for Graphic Design Intelligence
Danqing Huang, Jiaqi Guo, Shizhao Sun +6
Graphic design is an effective language for visual communication. Using complex composition of visual elements (e.g., shape, color, font) guided by design principles and aesthetics…
A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions
Jiawei Lin, Jiaqi Guo, Shizhao Sun +4
Creating layouts is a fundamental step in graphic design. In this work, we propose to use text as the guidance to create graphic layouts, i.e., Text-to-Layout, aiming to lower the…
LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models
Junyi Zhang, Jiaqi Guo, Shizhao Sun +2
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 layou…
LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction
Zhaoyun Jiang, Jiaqi Guo, Shizhao Sun +6
Conditional graphic layout generation, which generates realistic layouts according to user constraints, is a challenging task that has not been well-studied yet. First, there is li…
Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics
Chunyao Qian, Shizhao Sun, Weiwei Cui +3
Infographic is a data visualization technique which combines graphic and textual descriptions in an aesthetic and effective manner. Creating infographics is a difficult and time-co…
Slim-DP: A Light Communication Data Parallelism for DNN
Shizhao Sun, Wei Chen, Jiang Bian +2
Data parallelism has emerged as a necessary technique to accelerate the training of deep neural networks (DNN). In a typical data parallelism approach, the local workers push the l…
Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks
Shizhao Sun, Wei Chen, Jiang Bian +2
Parallelization framework has become a necessity to speed up the training of deep neural networks (DNN) recently. Such framework typically employs the Model Average approach, denot…
On the Depth of Deep Neural Networks: A Theoretical View
Shizhao Sun, Wei Chen, Liwei Wang +2
People believe that depth plays an important role in success of deep neural networks (DNN). However, this belief lacks solid theoretical justifications as far as we know. We invest…