6 citations · 16 across the 7 of their papers we have counts for
7 papers
AutoPoster: A Highly Automatic and Content-aware Design System for Advertising Poster Generation
Jinpeng Lin, Min Zhou, Ye Ma +5
Advertising posters, a form of information presentation, combine visual and linguistic modalities. Creating a poster involves multiple steps and necessitates design experience and…
TextPainter: Multimodal Text Image Generation with Visual-harmony and Text-comprehension for Poster Design
Yifan Gao, Jinpeng Lin, Min Zhou +4
Text design is one of the most critical procedures in poster design, as it relies heavily on the creativity and expertise of humans to design text images considering the visual har…
Unsupervised Domain Adaption with Pixel-level Discriminator for Image-aware Layout Generation
Chenchen Xu, Min Zhou, Tiezheng Ge +2
Layout is essential for graphic design and poster generation. Recently, applying deep learning models to generate layouts has attracted increasing attention. This paper focuses on…
CF-Font: Content Fusion for Few-shot Font Generation
Chi Wang, Min Zhou, Tiezheng Ge +3
Content and style disentanglement is an effective way to achieve few-shot font generation. It allows to transfer the style of the font image in a source domain to the style defined…
Geometry Aligned Variational Transformer for Image-conditioned Layout Generation
Yunning Cao, Ye Ma, Min Zhou +4
Layout generation is a novel task in computer vision, which combines the challenges in both object localization and aesthetic appraisal, widely used in advertisements, posters, and…
Composition-aware Graphic Layout GAN for Visual-textual Presentation Designs
Min Zhou, Chenchen Xu, Ye Ma +3
In this paper, we study the graphic layout generation problem of producing high-quality visual-textual presentation designs for given images. We note that image compositions, which…
Boosting Image Outpainting with Semantic Layout Prediction
Ye Ma, Jin Ma, Min Zhou +4
The objective of image outpainting is to extend image current border and generate new regions based on known ones. Previous methods adopt generative adversarial networks (GANs) to…