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Controllable image captioning models generate human-like image descriptions, enabling some kind of control over the generated captions. This paper focuses on controlling the caption length, i.e. a short and concise description or a long and…

计算机视觉与模式识别 · 计算机科学 2024-01-23 Elad Hirsch , Ayellet Tal

While accurate and user-friendly Computer-Aided Design (CAD) is crucial for industrial design and manufacturing, existing methods still struggle to achieve this due to their over-simplified representations or architectures incapable of…

计算机视觉与模式识别 · 计算机科学 2025-08-07 Jianyu Wu , Yizhou Wang , Xiangyu Yue , Xinzhu Ma , Jingyang Guo , Dongzhan Zhou , Wanli Ouyang , Shixiang Tang

Computer-Aided Design (CAD) delivers rapid, editable modeling for engineering and manufacturing. Recent AI progress now makes full automation feasible for various CAD tasks. However, progress is bottlenecked by data: public corpora mostly…

Computer Aided Design (CAD) engineers typically do not achieve their best prototypes in a single attempt. Instead, they iterate and refine their designs to achieve an optimal solution through multiple revisions. This traditional approach,…

机器学习 · 计算机科学 2024-06-05 Akshay Badagabettu , Sai Sravan Yarlagadda , Amir Barati Farimani

In this paper, we address the task of semantic-guided image generation. One challenge common to most existing image-level generation methods is the difficulty in generating small objects and detailed local textures. To address this, in this…

计算机视觉与模式识别 · 计算机科学 2022-03-02 Hao Tang , Ling Shao , Philip H. S. Torr , Nicu Sebe

The past decades have witnessed the rapid development of image and video coding techniques in the era of big data. However, the signal fidelity-driven coding pipeline design limits the capability of the existing image/video coding…

计算机视觉与模式识别 · 计算机科学 2020-01-13 Yueyu Hu , Shuai Yang , Wenhan Yang , Ling-Yu Duan , Jiaying Liu

While recent advancements in machine learning, such as LLMs, are revolutionizing software development and creative industries, they have had minimal impact on engineers designing mechanical parts, which remains largely a manual process.…

机器学习 · 计算机科学 2025-05-07 Maximilian Mews , Ansar Aynetdinov , Vivian Schiller , Peter Eisert , Alan Akbik

High-quality geometric diagram generation presents both a challenge and an opportunity: it demands strict spatial accuracy while offering well-defined constraints to guide generation. Inspired by recent advances in geometry problem solving…

计算机视觉与模式识别 · 计算机科学 2025-12-10 Xiaojing Wei , Ting Zhang , Wei He , Jingdong Wang , Hua Huang

Large language models have seen widespread adoption in math problem-solving. However, in geometry problems that usually require visual aids for better understanding, even the most advanced multi-modal models currently still face challenges…

计算机视觉与模式识别 · 计算机科学 2024-06-18 Shihao Cai , Keqin Bao , Hangyu Guo , Jizhi Zhang , Jun Song , Bo Zheng

Generating 3D shapes at part level is pivotal for downstream applications such as mesh retopology, UV mapping, and 3D printing. However, existing part-based generation methods often lack sufficient controllability and suffer from poor…

Adaptive and flexible image editing is a desirable function of modern generative models. In this work, we present a generative model with auto-encoder architecture for per-region style manipulation. We apply a code consistency loss to…

计算机视觉与模式识别 · 计算机科学 2021-08-20 Ansheng You , Chenglin Zhou , Qixuan Zhang , Lan Xu

Computer-Aided Design (CAD) models are defined by their construction history: a parametric recipe that encodes design intent. However, existing large-scale 3D datasets predominantly consist of boundary representations (B-Reps) or meshes,…

计算机视觉与模式识别 · 计算机科学 2026-04-28 Mohammadmehdi Ataei , Farzaneh Askari , Kamal Rahimi Malekshan , Pradeep Kumar Jayaraman

Reverse engineering CAD models from raw geometry is a classic but challenging research problem. In particular, reconstructing the CAD modeling sequence from point clouds provides great interpretability and convenience for editing. To…

计算机视觉与模式识别 · 计算机科学 2024-05-27 Bingchen Yang , Haiyong Jiang , Hao Pan , Peter Wonka , Jun Xiao , Guosheng Lin

With the growing demand for spatiotemporal data processing and geospatial modeling, automating geospatial code generation has become essential for productivity. Large language models (LLMs) show promise in code generation but face…

软件工程 · 计算机科学 2024-10-21 Shuyang Hou , Zhangxiao Shen , Jianyuan Liang , Anqi Zhao , Zhipeng Gui , Rui Li , Huayi Wu

Large-scale scene data is essential for training and testing in robot learning. Neural reconstruction methods have promised the capability of reconstructing large physically-grounded outdoor scenes from captured sensor data. However, these…

计算机视觉与模式识别 · 计算机科学 2025-08-27 Julian Ost , Andrea Ramazzina , Amogh Joshi , Maximilian Bömer , Mario Bijelic , Felix Heide

The aim of image captioning is to generate captions by machine to describe image contents. Despite many efforts, generating discriminative captions for images remains non-trivial. Most traditional approaches imitate the language structure…

计算机视觉与模式识别 · 计算机科学 2018-07-24 Xihui Liu , Hongsheng Li , Jing Shao , Dapeng Chen , Xiaogang Wang

Structural drawings are widely used in many fields, e.g., mechanical engineering, civil engineering, etc. In civil engineering, structural drawings serve as the main communication tool between architects, engineers, and builders to avoid…

CAD (Computer-Aided Design) plays a crucial role in mechanical industry, where large numbers of similar-shaped CAD parts are often created. Efficiently reusing these parts is key to reducing design and production costs for enterprises.…

信息检索 · 计算机科学 2024-06-19 Yuhan Quan , Huan Zhao , Jinfeng Yi , Yuqiang Chen

Over the past few years, single-view 3D face reconstruction methods can produce beautiful 3D models. Nevertheless,the input of these works is unobstructed faces.We describe a system designed to reconstruct convincing face texture in the…

计算机视觉与模式识别 · 计算机科学 2024-12-30 Dapeng Zhao , Yue Qi

Geometry problem-solving remains a significant challenge for Large Multimodal Models (LMMs), requiring not only global shape recognition but also attention to intricate local relationships related to geometric theory. To address this, we…

计算机视觉与模式识别 · 计算机科学 2026-02-10 Linger Deng , Yuliang Liu , Wenwen Yu , Zujia Zhang , Jianzhong Ju , Zhenbo Luo , Xiang Bai