2 citations · 3 across the 12 of their papers we have counts for
4 papers · 1 filter
PixelART: Image-to-Layer Decomposition without Latents or Text-to-Image Pretraining
Zelin Jia, Zhao Zhang, Zhicong Tang +2
Image-to-layer decomposition converts a flattened image into editable RGBA layers, enabling element-level editing in design workflows. Existing diffusion-based systems typically ad…
Detect Anything in Graphic Design: Element-Level Rewards for Autoregressive Detection
Jiangning Zhu, Bowen Li, Shenyu Qiao +4
Graphic designs, such as posters, advertisements, and infographics, are an important medium for communicating information and shaping understanding. Unlike natural images, they con…
InfoChartQA: A Benchmark for Multimodal Question Answering on Infographic Charts
Tianchi Xie, Minzhi Lin, Mengchen Liu +3
Understanding infographic charts with design-driven visual elements (e.g., pictograms, icons) requires both visual recognition and reasoning, posing challenges for multimodal large…
InfoDet: A Dataset for Infographic Element Detection
Jiangning Zhu, Yuxing Zhou, Zheng Wang +4
Given the central role of charts in scientific, business, and communication contexts, enhancing the chart understanding capabilities of vision-language models (VLMs) has become inc…