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Efficient creation of accurate and editable 3D CAD models is critical in engineering design, significantly impacting cost and time-to-market in product innovation. Current manual workflows remain highly time-consuming and demand extensive…

Computer Vision and Pattern Recognition · Computer Science 2025-05-21 Anna C. Doris , Md Ferdous Alam , Amin Heyrani Nobari , Faez Ahmed

Graphical User Interface (GUI) element grounding (precisely locating elements on screenshots based on natural language instructions) is fundamental for agents interacting with GUIs. Deploying this capability directly on resource-constrained…

Computer Vision and Pattern Recognition · Computer Science 2026-04-28 Hongxin Li , Yuntao Chen , Zhaoxiang Zhang

Towards an embodied generalist for real-world interaction, Multimodal Large Language Model (MLLM) agents still suffer from challenging latency, sparse feedback, and irreversible mistakes. Video games offer an ideal testbed with rich visual…

Computer Vision and Pattern Recognition · Computer Science 2026-04-10 Mingyu Ouyang , Siyuan Hu , Kevin Qinghong Lin , Hwee Tou Ng , Mike Zheng Shou

With the rapid development of web technology, more and more software applications have become web-based in the past decades. To ensure software quality and user experience, various techniques have been proposed to automatically test web…

Software Engineering · Computer Science 2024-10-17 Siyi Wang , Sinan Wang , Yujia Fan , Xiaolei Li , Yepang Liu

Graph generation is a crucial task in many fields, including network science and bioinformatics, as it enables the creation of synthetic graphs that mimic the properties of real-world networks for various applications. Graph Generative…

Machine Learning · Computer Science 2026-01-21 Salvatore Romano , Marco Grassia , Giuseppe Mangioni

World-Action Models (WAM) initialized from pre-trained video generation backbones have demonstrated remarkable potential for robot policy learning. However, existing approaches face two critical bottlenecks that hinder performance and…

Agentic reinforcement learning increasingly relies on experience-driven scaling, yet real-world environments remain non-adaptive, limited in coverage, and difficult to scale. World models offer a potential way to improve learning efficiency…

Computation and Language · Computer Science 2026-03-06 Yixia Li , Hongru Wang , Jiahao Qiu , Zhenfei Yin , Dongdong Zhang , Cheng Qian , Zeping Li , Pony Ma , Guanhua Chen , Heng Ji

Pretrained foundation models have become an important basis for end-to-end autonomous driving. In contrast to vision-language models pretrained primarily on static image-text pairs, video generative models capture temporal dynamics and…

Computer Vision and Pattern Recognition · Computer Science 2026-05-28 Chen Shi , Jinrui Xu , Shaoshuai Shi , Kehua Sheng , Bo Zhang , Li Jiang

User interface (UI) design is an iterative process in which designers progressively refine their work with design software such as Figma or Sketch. Recent advances in vision language models (VLMs) with tool invocation suggest these models…

Computer Vision and Pattern Recognition · Computer Science 2025-12-01 Daeheon Jeong , Seoyeon Byun , Kihoon Son , Dae Hyun Kim , Juho Kim

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

Large language models (LLMs) have brought exciting new advances to mobile UI agents, a long-standing research field that aims to complete arbitrary natural language tasks through mobile UI interactions. However, existing UI agents usually…

Artificial Intelligence · Computer Science 2025-05-07 Hao Wen , Shizuo Tian , Borislav Pavlov , Wenjie Du , Yixuan Li , Ge Chang , Shanhui Zhao , Jiacheng Liu , Yunxin Liu , Ya-Qin Zhang , Yuanchun Li

Previous works leveraging video models for image-to-3D scene generation tend to suffer from geometric distortions and blurry content. In this paper, we renovate the pipeline of image-to-3D scene generation by unlocking the potential of…

Computer Vision and Pattern Recognition · Computer Science 2025-12-01 Yuhao Wan , Lijuan Liu , Jingzhi Zhou , Zihan Zhou , Xuying Zhang , Dongbo Zhang , Shaohui Jiao , Qibin Hou , Ming-Ming Cheng

Humanoid robots, with their human-like form, are uniquely suited for interacting in environments built for people. However, enabling humanoids to reason, plan, and act in complex open-world settings remains a challenge. World models, models…

Robotics · Computer Science 2025-07-10 Muhammad Qasim Ali , Aditya Sridhar , Shahbuland Matiana , Alex Wong , Mohammad Al-Sharman

Generative world models are reshaping embodied AI, enabling agents to synthesize realistic 4D driving environments that look convincing but often fail physically or behaviorally. Despite rapid progress, the field still lacks a unified way…

Object Goal Navigation-requiring an agent to locate a specific object in an unseen environment-remains a core challenge in embodied AI. Although recent progress in Vision-Language Model (VLM)-based agents has demonstrated promising…

Computer Vision and Pattern Recognition · Computer Science 2025-07-22 Dujun Nie , Xianda Guo , Yiqun Duan , Ruijun Zhang , Long Chen

World models, which predict future transitions from past observation and action sequences, have shown great promise for improving data efficiency in sequential decision-making. However, existing world models often require extensive…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Siqiao Huang , Jialong Wu , Qixing Zhou , Shangchen Miao , Mingsheng Long

Recent successes in autoregressive (AR) generation models, such as the GPT series in natural language processing, have motivated efforts to replicate this success in visual tasks. Some works attempt to extend this approach to autonomous…

Computer Vision and Pattern Recognition · Computer Science 2024-12-31 Xiaotao Hu , Wei Yin , Mingkai Jia , Junyuan Deng , Xiaoyang Guo , Qian Zhang , Xiaoxiao Long , Ping Tan

Effective planning requires strong world models, but high-level world models that can understand and reason about actions with semantic and temporal abstraction remain largely underdeveloped. We introduce the Vision Language World Model…

Artificial Intelligence · Computer Science 2025-09-09 Delong Chen , Theo Moutakanni , Willy Chung , Yejin Bang , Ziwei Ji , Allen Bolourchi , Pascale Fung

Multimodal large language models (MLLMs) that think with images can interactively use tools to reason about visual inputs, but current approaches often rely on a narrow set of tools with limited real-world necessity and scalability. In this…

Computer Vision and Pattern Recognition · Computer Science 2025-12-04 Zirun Guo , Minjie Hong , Feng Zhang , Kai Jia , Tao Jin

Visual Question-Answering (VQA) has become key to user experience, particularly after improved generalization capabilities of Vision-Language Models (VLMs). But evaluating VLMs for an application requirement using a standardized framework…

Computer Vision and Pattern Recognition · Computer Science 2024-12-13 Neelabh Sinha , Vinija Jain , Aman Chadha