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AI text-to-app tools promise high quality applications and websites in minutes, yet no public benchmark rigorously verifies those claims. We introduce UI-Bench, the first large-scale benchmark that evaluates visual excellence across…

Computation and Language · Computer Science 2025-09-05 Sam Jung , Agustin Garcinuno , Spencer Mateega

Models like OpenAI-o3 pioneer visual grounded reasoning by dynamically referencing visual regions, just like human "thinking with images". However, no benchmark exists to evaluate these capabilities holistically. To bridge this gap, we…

Computer Vision and Pattern Recognition · Computer Science 2026-03-06 Haochen Wang , Xiangtai Li , Zilong Huang , Anran Wang , Jiacong Wang , Tao Zhang , Jiani Zheng , Sule Bai , Zijian Kang , Jiashi Feng , Zhuochen Wang , Zhaoxiang Zhang

We introduce CurveBench, a benchmark for hierarchical topological reasoning from visual input. CurveBench consists of \textbf{756 images} of pairwise non-intersecting Jordan curves across easy, polygonal, topographic-inspired, maze-like,…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Amirreza Mohseni , Mona Mohammadi , Morteza Saghafian , Naser Talebizadeh Sardari

Continuous perception, the ability to integrate visual observations over time in a continuous stream fashion, is essential for robust real-world understanding, yet remains largely untested in current multimodal models. We introduce…

Computer Vision and Pattern Recognition · Computer Science 2025-12-02 Zeyu Wang , Zhenzhen Weng , Serena Yeung-Levy

Recent advances in Large Language Model (LLM)-based agents have shown remarkable progress in code generation. However, current agent methods mainly rely on text-output-based feedback (e.g. command-line outputs) for multi-round debugging and…

Software Engineering · Computer Science 2026-04-23 Zhilin Liu , Ye Huang , Ting Xie , Ruizhi Zhang , Wen Li , Lixin Duan

With the rapid advancement of Large Language Models (LLMs) in code generation, human-AI interaction is evolving from static text responses to dynamic, interactive HTML-based applications, which we term MiniApps. These applications require…

Artificial Intelligence · Computer Science 2026-05-11 Zuhao Zhang , Chengyue Yu , Yuante Li , Chenyi Zhuang , Linjian Mo , Shuai Li

Interleaved text-and-image generation has been an intriguing research direction, where the models are required to generate both images and text pieces in an arbitrary order. Despite the emerging advancements in interleaved generation, the…

Computer Vision and Pattern Recognition · Computer Science 2024-10-10 Minqian Liu , Zhiyang Xu , Zihao Lin , Trevor Ashby , Joy Rimchala , Jiaxin Zhang , Lifu Huang

Infographics are composite visual artifacts that combine data visualizations with textual and illustrative elements to communicate information. While recent text-to-image (T2I) models can generate aesthetically appealing images, their…

With the widespread adoption of Graphical User Interface (GUI) agents for automating GUI interaction tasks, substantial research focused on improving GUI perception to ground task instructions into concrete action steps. However, the step…

Computer Vision and Pattern Recognition · Computer Science 2026-01-27 Xuan Wang , Siyuan Su , Quantong Fu , Yongxiang Hu , Yangfan Zhou

Cognitive science has shown that humans perceive videos in terms of events separated by the state changes of dominant subjects. State changes trigger new events and are one of the most useful among the large amount of redundant information…

Computer Vision and Pattern Recognition · Computer Science 2025-02-04 Yuxuan Wang , Difei Gao , Licheng Yu , Stan Weixian Lei , Matt Feiszli , Mike Zheng Shou

Pavement condition assessment is essential for road safety and maintenance. Existing research has made significant progress. However, most studies focus on conventional computer vision tasks such as classification, detection, and…

Computer Vision and Pattern Recognition · Computer Science 2026-04-06 Dexiang Li , Zhenning Che , Haijun Zhang , Dongliang Zhou , Zhao Zhang , Yahong Han

Recent advances in multi-modal generative models have driven substantial improvements in image editing. However, current generative models still struggle with handling diverse and complex image editing tasks that require implicit reasoning,…

Computer Vision and Pattern Recognition · Computer Science 2025-11-25 Feng Han , Yibin Wang , Chenglin Li , Zheming Liang , Dianyi Wang , Yang Jiao , Zhipeng Wei , Chao Gong , Cheng Jin , Jingjing Chen , Jiaqi Wang

Recent advances in text-driven image editing have been significant, yet the task of accurately evaluating these edited images continues to pose a considerable challenge. Different from the assessment of text-driven image generation,…

Computer Vision and Pattern Recognition · Computer Science 2025-01-20 Shangkun Sun , Bowen Qu , Xiaoyu Liang , Songlin Fan , Wei Gao

Large-scale, high-quality interaction trajectories are essential for advancing mobile Graphical User Interface (GUI) agents. While existing methods typically rely on labor-intensive human demonstrations or automated model exploration to…

Artificial Intelligence · Computer Science 2026-02-02 Linjia Kang , Zhimin Wang , Yongkang Zhang , Duo Wu , Jinghe Wang , Ming Ma , Haopeng Yan , Zhi Wang

Graphical user interface (GUI) grounding, the ability to map natural language instructions to specific actions on graphical user interfaces, remains a critical bottleneck in computer use agent development. Current benchmarks oversimplify…

AI agents may soon become capable of autonomously completing valuable, long-horizon tasks in diverse domains. Current benchmarks either do not measure real-world tasks, or are not sufficiently difficult to meaningfully measure frontier…

The generative AI technology offers an increasing variety of tools for generating entirely synthetic images that are increasingly indistinguishable from real ones. Unlike methods that alter portions of an image, the creation of completely…

Computer Vision and Pattern Recognition · Computer Science 2024-04-30 Manos Schinas , Symeon Papadopoulos

Story visualization aims to generate coherent image sequences that faithfully represent a narrative and match given character references. Despite progress in generative models, existing benchmarks remain narrow in scope, often limited to…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Cailin Zhuang , Ailin Huang , Yaoqi Hu , Jingwei Wu , Wei Cheng , Jiaqi Liao , Hongyuan Wang , Xinyao Liao , Weiwei Cai , Hengyuan Xu , Xuanyang Zhang , Xianfang Zeng , Zhewei Huang , Gang Yu , Chi Zhang

Graphical User Interface (GUI) automation holds significant promise for enhancing human productivity by assisting with computer tasks. Existing task formulations primarily focus on simple tasks that can be specified by a single,…

Computer Vision and Pattern Recognition · Computer Science 2024-06-17 Kevin Qinghong Lin , Linjie Li , Difei Gao , Qinchen WU , Mingyi Yan , Zhengyuan Yang , Lijuan Wang , Mike Zheng Shou