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Preprint Oct 2026

Content-Edited Layout Generation for Graphic Design

In this paper, we formulate a novel form of conditional layout generation for graphic design, termed content-edited layout generation(CELG). CELG extends conventional content-aware layout generation (CLG), which generates a foreground layout for a fixed background image. The key distinction is that CELG treats the inpu...

Shi-Rong Yang, Zheyi Pan, Ying Cao · 0 citations
Open access Oct 2026

Joint optimization framework for robot dance motion generation, aesthetic evaluation, and dynamic balance control based on conditional gans and safe deep reinforcement learning

Artificial intelligence and intelligent algorithms provide effective technical support for generating complex robotic dance motions and maintaining stable execution under dynamic constraints. To address the separation among motion synthesis, aesthetic evaluation, and balance control in existing robot dance systems, thi...

Ying Cao · 0 citations
Preprint Sep 2026

Human-aware Design Generation: Adding 3D Humans into Graphic Designs

Graphic designs nowadays predominantly contain human images, where people are posed and framed in a delicate way to guide viewers'visual exploration and evoke desired feelings. Despite recent progress in automatic graphic design generation, there has been no work on investigating the role of the human representations i...

Zi-Jin Hou, Ying Cao · 1 citation
#artificial intelligence Preprint Sep 2026

Learning Interaction between Image and Layout Priors for Joint Image-Layout Generation in Design Templates

In this paper, we address the problem of graphic design template creation, which generates a background image and a layout of foreground elements over the background to form a harmonious composition from an input text. Prior work on graphic design generation mostly adopts a sequential paradigm, where design elements ar...

Shi-Rong Yang, Bo Yang, Ying Cao · 2 citations · ⚡1

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