TypeDance: Creating Semantic Typographic Logos from Image through Personalized Generation-Reference-Cited by-同舟云学术

TypeDance: Creating Semantic Typographic Logos from Image through Personalized Generation

Published:2024-05-11 Issue: Volume:35 Page:1-18
ISSN:
Container-title:Proceedings of the CHI Conference on Human Factors in Computing Systems
language:
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Author:

Xiao Shishi¹^ORCID,Wang Liangwei²^ORCID,Ma Xiaojuan³^ORCID,Zeng Wei⁴^ORCID

Affiliation:

1. Computational Media and Art, The Hong Kong University of Science and Technology(Guangzhou), China

2. Data Science and Anayltics Thrust, Information Hub, The Hong Kong University of Science and Technology (Guangzhou), China

3. Hong Kong University of Science and Technology, Hong Kong

4. The Hong Kong University of Science and Technology (Guangzhou), China and The Hong Kong University of Science and Technology, China

Funder

Guangzhou Basic and Applied Basic Research Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613904.3642185

Reference68 articles.

1. Guidelines for Human-AI Interaction

2. Apple. 2021. Human Interface Guidelines. https://developer.apple.com/design/human-interface-guidelines/ Last accessed on 2023-12-13.

3. Beyond the logo: Brand management for cities

4. StrokeStyles: Stroke-based Segmentation and Stylization of Fonts

5. James Betker, Gabriel Goh, Li Jing, Tim Brooks, Jianfeng Wang, Linjie Li, Long Ouyang, Juntang Zhuang, Joyce Lee, Yufei Guo, 2023. Improving image generation with better captions. Computer Science. https://cdn. openai. com/papers/dall-e-3. pdf (2023).

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