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Automated evaluation metrics as a stand-in for manual evaluation are an essential part of the development of text-generation tasks such as text summarization. However, while the field has progressed, our standard metrics have not -- for…

Computation and Language · Computer Science 2020-10-15 Manik Bhandari , Pranav Gour , Atabak Ashfaq , Pengfei Liu , Graham Neubig

A visualization notation is a recurring pattern of symbols used to author specifications of visualizations, from data transformation to visual mapping. Programmatic notations use symbols defined by grammars or domain-specific languages…

Human-Computer Interaction · Computer Science 2023-09-01 Nicolas Kruchten , Andrew M. McNutt , Michael J. McGuffin

Text-to-image generative models are a new and powerful way to generate visual artwork. However, the open-ended nature of text as interaction is double-edged; while users can input anything and have access to an infinite range of…

Human-Computer Interaction · Computer Science 2023-09-29 Vivian Liu , Lydia B. Chilton

Emotion recognition and generation have emerged as crucial topics in Artificial Intelligence research, playing a significant role in enhancing human-computer interaction within healthcare, customer service, and other fields. Although…

Machine Learning · Computer Science 2025-02-12 Rebecca Mobbs , Dimitrios Makris , Vasileios Argyriou

Generative AI systems are transforming content creation, but their usability remains a key challenge. This paper examines usability factors such as user experience, transparency, control, and cognitive load. Common challenges include…

Human-Computer Interaction · Computer Science 2025-02-26 Anna Ravera , Cristina Gena

Poster generation is a significant task for a wide range of applications, which is often time-consuming and requires lots of manual editing and artistic experience. In this paper, we propose a novel data-driven framework, called…

Multimedia · Computer Science 2023-01-09 Chuhao Jin , Hongteng Xu , Ruihua Song , Zhiwu Lu

Drawing principles, or aesthetics, are important in graph drawing. They are used as criteria for algorithm design and for quality evaluation. Current aesthetics are described as visual properties that a drawing is required to have to be…

Human-Computer Interaction · Computer Science 2016-09-27 Weidong Huang

Designing a visualization is often a process of iterative refinement where the designer improves a chart over time by adding features, improving encodings, and fixing mistakes. However, effective design requires external critique and…

Human-Computer Interaction · Computer Science 2023-03-14 Sungbok Shin , Sanghyun Hong , Niklas Elmqvist

Text-to-image generation and text-guided image manipulation have received considerable attention in the field of image generation tasks. However, the mainstream evaluation methods for these tasks have difficulty in evaluating whether all…

Computer Vision and Pattern Recognition · Computer Science 2024-11-18 Mizuki Miyamoto , Ryugo Morita , Jinjia Zhou

Appropriate evaluation and experimental design are fundamental for empirical sciences, particularly in data-driven fields. Due to the successes in computational modeling of languages, for instance, research outcomes are having an…

Human-Computer Interaction · Computer Science 2022-12-21 Kostiantyn Kucher , Nicole Sultanum , Angel Daza , Vasiliki Simaki , Maria Skeppstedt , Barbara Plank , Jean-Daniel Fekete , Narges Mahyar

Recent advances in machine learning for medical imaging have led to impressive increases in model complexity and overall capabilities. However, the ability to discern the precise information a machine learning method is using to make…

Machine Learning · Computer Science 2020-03-17 Tatiana Fountoukidou , Raphael Sznitman

Evaluating the style of handwriting generation is a challenging problem, since it is not well defined. It is a key component in order to develop in developing systems with more personalized experiences with humans. In this paper, we propose…

Computer Vision and Pattern Recognition · Computer Science 2018-09-05 Omar Mohammed , Gerard Bailly , Damien Pellier

We present an automated way to evaluate the text alignment of text-to-image generative diffusion models using standard image-text recognition datasets. Our method, called SelfEval, uses the generative model to compute the likelihood of real…

Computer Vision and Pattern Recognition · Computer Science 2024-11-28 Sai Saketh Rambhatla , Ishan Misra

Designing academic posters is a labor-intensive process requiring the precise balance of high-density content and sophisticated layout. While existing paper-to-poster generation methods automate initial drafting, they are typically…

Artificial Intelligence · Computer Science 2026-01-09 Chengxin Shi , Qinnan Cai , Zeyuan Chen , Long Zeng , Yibo Zhao , Jing Yu , Jianxiang Yu , Xiang Li

Urban modeling is essential for city planning, scene synthesis, and gaming. Existing image-based methods generate diverse layouts but often lack geometric continuity and scalability, while graph-based methods capture structural relations…

Computer Vision and Pattern Recognition · Computer Science 2025-09-30 Mengyuan Niu , Xinxin Zhuo , Ruizhe Wang , Yuyue Huang , Junyan Yang , Qiao Wang

Many of the creative and figurative elements that make language exciting are lost in translation in current natural language generation engines. In this paper, we explore a method to harvest templates from positive and negative reviews in…

Computation and Language · Computer Science 2017-09-18 Shereen Oraby , Sheideh Homayon , Marilyn Walker

Automating scientific poster generation requires hierarchical document understanding and coherent content-layout planning. Existing methods often rely on flat summarization or optimize content and layout separately. As a result, they often…

Artificial Intelligence · Computer Science 2026-04-24 Jiho Choi , Seojeong Park , Seongjong Song , Hyunjung Shim

Graphic design forms the cornerstone of modern visual communication, serving as a vital medium for promoting cultural and commercial events. Recent advances have explored automating this process using Large Multimodal Models (LMMs), yet…

Computer Vision and Pattern Recognition · Computer Science 2025-12-04 Jiazhe Wei , Ken Li , Tianyu Lao , Haofan Wang , Liang Wang , Caifeng Shan , Chenyang Si

Posters play a crucial role in marketing and advertising by enhancing visual communication and brand visibility, making significant contributions to industrial design. With the latest advancements in controllable T2I diffusion models,…

Computer Vision and Pattern Recognition · Computer Science 2025-02-13 Jian Ma , Yonglin Deng , Chen Chen , Nanyang Du , Haonan Lu , Zhenyu Yang

Typefaces are an essential resource employed by graphic designers. The increasing demand for innovative type design work increases the need for good technological means to assist the designer in the creation of a typeface. We present an…

Neural and Evolutionary Computing · Computer Science 2018-06-27 Tiago Martins , João Correia , Ernesto Costa , Penousal Machado
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