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Related papers: WordArt Designer: User-Driven Artistic Typography …

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This paper introduces the WordArt Designer API, a novel framework for user-driven artistic typography synthesis utilizing Large Language Models (LLMs) on ModelScope. We address the challenge of simplifying artistic typography for…

Computer Vision and Pattern Recognition · Computer Science 2024-01-17 Jun-Yan He , Zhi-Qi Cheng , Chenyang Li , Jingdong Sun , Wangmeng Xiang , Yusen Hu , Xianhui Lin , Xiaoyang Kang , Zengke Jin , Bin Luo , Yifeng Geng , Xuansong Xie , Jingren Zhou

MetaDesigner introduces a transformative framework for artistic typography synthesis, powered by Large Language Models (LLMs) and grounded in a user-centric design paradigm. Its foundation is a multi-agent system comprising the Pipeline,…

Design assistants are frameworks, tools or applications intended to facilitate both the creative and technical facets of design processes. Large language models (LLMs) are AI systems engineered to analyze and produce text resembling human…

Human-Computer Interaction · Computer Science 2025-02-12 Swaroop Panda

Large language models (LLMs) require well-crafted prompts for effective use. Prompt engineering, the process of designing prompts, is challenging, particularly for non-experts who are less familiar with AI technologies. While researchers…

Human-Computer Interaction · Computer Science 2024-01-29 Zijie J. Wang , Aishwarya Chakravarthy , David Munechika , Duen Horng Chau

Large Language Models (LLM) have shown encouraging progress in multimodal understanding and generation tasks. However, how to design a human-aligned and interpretable melody composition system is still under-explored. To solve this problem,…

Sound · Computer Science 2024-03-08 Xia Liang , Xingjian Du , Jiaju Lin , Pei Zou , Yuan Wan , Bilei Zhu

Thanks to their generative capabilities, large language models (LLMs) have become an invaluable tool for creative processes. These models have the capacity to produce hundreds and thousands of visual and textual outputs, offering abundant…

Human-Computer Interaction · Computer Science 2024-03-15 Sangho Suh , Meng Chen , Bryan Min , Toby Jia-Jun Li , Haijun Xia

Text animation, a foundational element in video creation, enables efficient and cost-effective communication, thriving in advertisements, journalism, and social media. However, traditional animation workflows present significant usability…

Human-Computer Interaction · Computer Science 2025-06-13 Bao Zhang , Zihan Li , Zhenglei Liu , Huanchen Wang , Yuxin Ma

Attaining a high degree of user controllability in visual generation often requires intricate, fine-grained inputs like layouts. However, such inputs impose a substantial burden on users when compared to simple text inputs. To address the…

Computer Vision and Pattern Recognition · Computer Science 2023-10-31 Weixi Feng , Wanrong Zhu , Tsu-jui Fu , Varun Jampani , Arjun Akula , Xuehai He , Sugato Basu , Xin Eric Wang , William Yang Wang

The evolution of Large Language Models (LLMs) has showcased remarkable capacities for logical reasoning and natural language comprehension. These capabilities can be leveraged in solutions that semantically and textually model complex…

Human-Computer Interaction · Computer Science 2024-04-17 Syed Mekael Wasti , Ken Q. Pu , Ali Neshati

To accelerate mechanical design and enhance design quality and innovation, we present a Multidisciplinary Design and Optimization (MDO) Agent driven by Large Language Models (LLMs). The agent semi-automates the end-to-end workflow by…

Human-Computer Interaction · Computer Science 2025-11-25 Bingkun Guo , Wentian Li , Xiaojian Liu , Jiaqi Luo , Zibin Yu , Dalong Dong , Shuyou Zhang , Yiming Zhang

This paper assesses the potential for large language models (LLMs) to serve as assistive tools in the creative writing process, by means of a single, in-depth case study. In the course of the study, we develop interactive and multi-voice…

Computation and Language · Computer Science 2023-12-08 Murray Shanahan , Catherine Clarke

Gestures perform a variety of communicative functions that powerfully influence human face-to-face interaction. How this communicative function is achieved varies greatly between individuals and depends on the role of the speaker and the…

Human-Computer Interaction · Computer Science 2023-10-24 Laura B. Hensel , Nutchanon Yongsatianchot , Parisa Torshizi , Elena Minucci , Stacy Marsella

This paper presents the development of an AI-powered workflow that uses Large Language Models (LLMs) to assist in drafting schematic architectural floor plans from natural language prompts. The proposed system interprets textual input to…

Artificial Intelligence · Computer Science 2025-09-03 Jayakrishna Duggempudi , Lu Gao , Ahmed Senouci , Zhe Han , Yunpeng Zhang

Large language models (LLMs) have taken the scientific world by storm, changing the landscape of natural language processing and human-computer interaction. These powerful tools can answer complex questions and, surprisingly, perform…

Artificial Intelligence · Computer Science 2023-11-14 Pier Luca Lanzi , Daniele Loiacono

The advancement of Large Language Models (LLMs), including GPT-4, provides exciting new opportunities for generative design. We investigate the application of this tool across the entire design and manufacturing workflow. Specifically, we…

The Design Structure Matrix (DSM) is an established method used in dependency modelling, especially in the design of complex engineering systems. The generation of DSM is traditionally carried out through manual means and can involve…

Artificial Intelligence · Computer Science 2025-09-09 Edwin C. Y. Koh

Large language models (LLMs) are increasingly deployed in multilingual, real-world applications with user inputs -- naturally introducing \emph{typographical errors} (typos). Yet most benchmarks assume clean input, leaving the robustness of…

Computation and Language · Computer Science 2026-04-21 Raoyuan Zhao , Yihong Liu , Lena Altinger , Hinrich Schütze , Michael A. Hedderich

Text logo design heavily relies on the creativity and expertise of professional designers, in which arranging element layouts is one of the most important procedures. However, this specific task has received limited attention, often…

Computer Vision and Pattern Recognition · Computer Science 2025-08-05 Junwen He , Yifan Wang , Lijun Wang , Huchuan Lu , Jun-Yan He , Chenyang Li , Hanyuan Chen , Jin-Peng Lan , Bin Luo , Yifeng Geng

Thanks to the powerful language comprehension capabilities of Large Language Models (LLMs), existing instruction-based image editing methods have introduced Multimodal Large Language Models (MLLMs) to promote information exchange between…

Computer Vision and Pattern Recognition · Computer Science 2026-01-06 Yujie Hu , Zecheng Tang , Xu Jiang , Weiqi Li , Jian Zhang

Large Language models (LLMs) have shown promise as generators of symbolic control policies, producing interpretable program-like representations through iterative search. However, these models are not capable of separating the functional…

Machine Learning · Computer Science 2025-10-02 Carlo Bosio , Matteo Guarrera , Alberto Sangiovanni-Vincentelli , Mark W. Mueller
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