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Danqing Huang

8 accepted papers

2026

Can Vision–Language Models Assess Graphic Design Aesthetics? A Benchmark, Evaluation, and Dataset Perspective.

ICLR 2026poster

Assessing the aesthetic quality of graphic design is central to visual communication, yet remains underexplored in vision–language models (VLMs). We investigate whether VLMs can evaluate design aesthetics in ways comparable to humans. Prior work faces three key limitations: benchmarks restricted to…

Cited by 0SourcecodeScholar
2025

BizGen: Advancing Article-level Visual Text Rendering for Infographics Generation

CVPR 2025poster

Recently, state-of-the-art text-to-image generation models, such as Flux and Ideogram 2.0, have made significant progress in sentence-level visual text rendering. In this paper, we focus on the more challenging scenarios of article-level visual text rendering and address a novel task of generating h…

Cited by 2SourcePDFScholar
2024

Desigen: A Pipeline for Controllable Design Template Generation

CVPR 2024poster

Templates serve as a good starting point to implement a design (e.g. banner slide) but it takes great effort from designers to manually create. In this paper we present Desigen an automatic template creation pipeline which generates background images as well as harmonious layout elements over the ba…

2024

Spot the Error: Non-autoregressive Graphic Layout Generation with Wireframe Locator

AAAI 2024technical

Layout generation is a critical step in graphic design to achieve meaningful compositions of elements. Most previous works view it as a sequence generation problem by concatenating element attribute tokens (i.e., category, size, position). So far the autoregressive approach (AR) has achieved promisi…

2023

Layout Generation as Intermediate Action Sequence Prediction

AAAI 2023technical

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…

2023

Learn and Sample Together: Collaborative Generation for Graphic Design Layout

IJCAI 2023poster

In the process of graphic layout generation, user specifications including element attributes and their relationships are commonly used to constrain the layouts (e.g.,"put the image above the button''). It is natural to encode spatial constraints between elements using a graph. This paper presents a…

2023

Relation-enhanced DETR for Component Detection in Graphic Design Reverse Engineering

IJCAI 2023poster

It is a common practice for designers to create digital prototypes from a mock-up/screenshot. Reverse engineering graphic design by detecting its components (e.g., text, icon, button) helps expedite this process. This paper first conducts a statistical analysis to emphasize the importance of relatio…

2021

Towards Topic-Aware Slide Generation For Academic Papers With Unsupervised Mutual Learning

AAAI 2021technical

Slides are commonly used to present information and tell stories. In academic and research communities, slides are typically used to summarize findings in accepted papers for presentation in meetings and conferences. These slides for academic papers usually contain common and essential topics such a…