Graphical Models最新文献_第6页

3DMeshNet: A three-dimensional differential neural network for structured mesh generation 3DMeshNet：用于结构化网格生成的三维微分神经网络

IF 2.5 4区计算机科学

Graphical Models Pub Date : 2025-06-01 Epub Date: 2025-03-25 DOI: 10.1016/j.gmod.2025.101257

Jiaming Peng, Xinhai Chen, Jie Liu

{"title":"3DMeshNet: A three-dimensional differential neural network for structured mesh generation","authors":"Jiaming Peng, Xinhai Chen, Jie Liu","doi":"10.1016/j.gmod.2025.101257","DOIUrl":"10.1016/j.gmod.2025.101257","url":null,"abstract":"<div><div>Mesh generation is a crucial step in numerical simulations, significantly impacting simulation accuracy and efficiency. However, generating meshes remains time-consuming and requires expensive computational resources. In this paper, we propose a novel method, 3DMeshNet, for three-dimensional structured mesh generation. The method embeds the meshing-related differential equations into the loss function of neural networks, formulating the meshing task as an unsupervised optimization problem. It takes geometric points as input to learn the potential mapping between parametric and computational spaces. After suitable offline training, 3DMeshNet can efficiently output a three-dimensional structured mesh with a user-defined number of quadrilateral/hexahedral cells through the feed-forward neural prediction. To enhance training stability and accelerate convergence, we integrate loss function reweighting through weight adjustments and gradient projection alongside applying finite difference methods to streamline derivative computations in the loss. Experiments on different cases show that 3DMeshNet is robust and fast. It outperforms neural network-based methods and yields superior meshes compared to traditional mesh partitioning methods. 3DMeshNet significantly reduces training times by up to 85% compared to other neural network-based approaches and lowers meshing overhead by 4 to 8 times relative to traditional meshing methods.</div></div>","PeriodicalId":55083,"journal":{"name":"Graphical Models","volume":"139 ","pages":"Article 101257"},"PeriodicalIF":2.5,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143683472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Additive manufacturing toward 2D and 3D freeform lattices with conforming compliant bi-/multi-stable tiles 二维和三维自由网格的增材制造，具有符合要求的双/多稳定瓷砖

IF 2.5 4区计算机科学

Graphical Models Pub Date : 2025-06-01 Epub Date: 2025-03-28 DOI: 10.1016/j.gmod.2025.101260

Gershon Elber

引用次数: 0

Initialization of cutting tools and milling paths for 5-axis CNC flank milling of freeform surfaces 自由曲面五轴数控侧铣刀具和铣削路径的初始化

IF 2.5 4区计算机科学

Graphical Models Pub Date : 2025-06-01 Epub Date: 2025-04-24 DOI: 10.1016/j.gmod.2025.101264

Pengbo Bo , Siyu Xue , Xiwen Xu , Caiming Zhang

{"title":"Initialization of cutting tools and milling paths for 5-axis CNC flank milling of freeform surfaces","authors":"Pengbo Bo , Siyu Xue , Xiwen Xu , Caiming Zhang","doi":"10.1016/j.gmod.2025.101264","DOIUrl":"10.1016/j.gmod.2025.101264","url":null,"abstract":"<div><div>Tool shape selection and path planning are critical for 5-axis CNC flank milling of freeform surfaces, typically addressed using optimization algorithms where initialization plays a pivotal role. Existing approaches rely on user-specified initialization of either tool shapes or motion paths, often resulting in suboptimal outcomes. This paper introduces a fully automated method that simultaneously initializes both tool shapes and motion paths, achieving high-precision machining with efficient surface coverage. Our approach explores a solution space of potential tool axes represented by line segments near the design surface. To efficiently manage the vast number of lines, we integrate space voxelization with a discrete distance field for effective line sampling. A graph-based algorithm generates feasible line sequences for motion paths, while path optimization refines a single tool shape across multiple paths simultaneously. The method identifies optimal tool shapes of various sizes, each paired with corresponding motion paths for multi-pass machining. Experiments on industrial benchmark models and freeform surfaces validate the effectiveness and practicality of the proposed approach.</div></div>","PeriodicalId":55083,"journal":{"name":"Graphical Models","volume":"139 ","pages":"Article 101264"},"PeriodicalIF":2.5,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Efficient extraction of experimental data from line charts using advanced machine learning techniques 利用先进的机器学习技术从折线图中高效提取实验数据

IF 2.5 4区计算机科学

Graphical Models Pub Date : 2025-06-01 Epub Date: 2025-03-25 DOI: 10.1016/j.gmod.2025.101259

Wenjin Yang, Jie He, Xiaotong Zhang

{"title":"Efficient extraction of experimental data from line charts using advanced machine learning techniques","authors":"Wenjin Yang, Jie He, Xiaotong Zhang","doi":"10.1016/j.gmod.2025.101259","DOIUrl":"10.1016/j.gmod.2025.101259","url":null,"abstract":"<div><div>Line charts, as a common data visualization tool in scientific research and business analysis, encapsulate rich experimental data. However, existing data extraction tools face challenges such as low automation levels and difficulties in handling complex charts. This paper proposes a novel method for extracting data from line charts, reformulating the extraction problem as an instance segmentation task, and introducing the Mamba-enhanced Transformer mask query method along with a curve mask-guided training approach to address challenges such as long dependencies and intersections in curve detection. Additionally, YOLOv9 is utilized for the detection and classification of chart elements, and a text recognition dataset comprising approximately 100K charts is constructed. An LSTM-based attention mechanism is employed for precise scale value recognition. Lastly, we present a method for automatically converting image data into structured JSON data, significantly enhancing the efficiency and accuracy of data extraction. Experimental results demonstrate that this method exhibits high efficiency and accuracy in handling complex charts, achieving an average extraction accuracy of 93% on public datasets, significantly surpassing the current state-of-the-art methods. This research provides an efficient foundation for large-scale scientific data analysis and machine learning model development, advancing the field of automated data extraction technology.</div></div>","PeriodicalId":55083,"journal":{"name":"Graphical Models","volume":"139 ","pages":"Article 101259"},"PeriodicalIF":2.5,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143683471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

CADTrans: A code tree-guided CAD generative transformer model with regularized discrete codebooks CADTrans：代码树引导的 CAD 生成变换器模型与正则化离散代码本

IF 2.5 4区计算机科学

Graphical Models Pub Date : 2025-06-01 Epub Date: 2025-04-11 DOI: 10.1016/j.gmod.2025.101262

Xufei Guo , Xiao Dong , Juan Cao , Zhonggui Chen

{"title":"CADTrans: A code tree-guided CAD generative transformer model with regularized discrete codebooks","authors":"Xufei Guo , Xiao Dong , Juan Cao , Zhonggui Chen","doi":"10.1016/j.gmod.2025.101262","DOIUrl":"10.1016/j.gmod.2025.101262","url":null,"abstract":"<div><div>The creation of computational agents capable of generating computer-aided design (CAD) models that rival those produced by professional designers is a pressing challenge in the field of computational design. The key obstacle is the need to generate a large number of realistic and diverse models while maintaining control over the output to a certain degree. Therefore, we propose a novel CAD model generation network called CADTrans which is based on a code tree-guided transformer framework to autoregressively generate CAD construction sequences. Firstly, three regularized discrete codebooks are extracted through vector quantized adversarial learning, with each codebook respectively representing the features of Loop, Profile, and Solid. Secondly, these codebooks are used to normalize a CAD construction sequence into a structured code tree representation which is then used to train a standard transformer network to reconstruct the code tree. Finally, the code tree is used as global information to guide the sketch-and-extrude method to recover the corresponding geometric information, thereby reconstructing the complete CAD model. Extensive experiments demonstrate that CADTrans achieves state-of-the-art performance, generating higher-quality, more varied, and complex models. Meanwhile, it provides more possibilities for CAD applications through its flexible control method, enabling users to quickly experiment with different design schemes, inspiring diverse design ideas and the generation of a wide variety of models or even inspiring models, thereby improving design efficiency and promoting creativity. The code is available at <span><span>https://effieguoxufei.github.io/CADtrans/</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":55083,"journal":{"name":"Graphical Models","volume":"139 ","pages":"Article 101262"},"PeriodicalIF":2.5,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Strategies for reducing motion sickness in virtual reality through improved handheld controller movements 通过改进手持控制器运动来减少虚拟现实中的晕动病的策略

IF 2.5 4区计算机科学

Graphical Models Pub Date : 2025-03-01 Epub Date: 2025-01-28 DOI: 10.1016/j.gmod.2025.101254

Khang Yeu Tang , Ge Yu , Juhong Wang , Yu He , Sen-Zhe Xu , Song-Hai Zhang

{"title":"Strategies for reducing motion sickness in virtual reality through improved handheld controller movements","authors":"Khang Yeu Tang , Ge Yu , Juhong Wang , Yu He , Sen-Zhe Xu , Song-Hai Zhang","doi":"10.1016/j.gmod.2025.101254","DOIUrl":"10.1016/j.gmod.2025.101254","url":null,"abstract":"<div><div>As technology advances, user demand for immersive and authentic information presentation rises. Traditional 2D displays and interactions fail to meet modern standards, while virtual reality (VR) is gaining attention for its immersive experience. However, using a controller for VR movement can cause dizziness due to mismatched visual and vestibular cues, impacting the VR experience. This paper analyzes the main causes of VR-induced vertigo and develops improved handheld controller movement strategies. These strategies adjust the user’s pitch angle and field of view in real time or map the user’s real-world head acceleration to the virtual character. By intelligently adjusting the controller-to-VR display mapping, these methods reduce vertigo. In addition, this paper also verified the actual effects of these designs through a series of experiments, and conducted detailed data analysis on the degree of user vertigo. The experimental results showed that using a specific improved handheld controller movement design can significantly improve the user’s comfort in the VR environment, effectively reducing the occurrence of vertigo and discomfort.</div></div>","PeriodicalId":55083,"journal":{"name":"Graphical Models","volume":"138 ","pages":"Article 101254"},"PeriodicalIF":2.5,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143104629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

3D data augmentation and dual-branch model for robust face forgery detection 三维数据增强和双分支模型鲁棒人脸伪造检测

IF 2.5 4区计算机科学

Graphical Models Pub Date : 2025-03-01 Epub Date: 2025-02-04 DOI: 10.1016/j.gmod.2025.101255

Changshuang Zhou , Frederick W.B. Li , Chao Song , Dong Zheng , Bailin Yang

引用次数: 0

Efficient alternating and joint distance minimization methods for adaptive spline surface fitting 自适应样条曲面拟合的有效交替和接合距离最小化方法

IF 2.5 4区计算机科学

Graphical Models Pub Date : 2025-02-01 Epub Date: 2024-12-19 DOI: 10.1016/j.gmod.2024.101251

Carlotta Giannelli , Sofia Imperatore , Angelos Mantzaflaris , Dominik Mokriš

{"title":"Efficient alternating and joint distance minimization methods for adaptive spline surface fitting","authors":"Carlotta Giannelli , Sofia Imperatore , Angelos Mantzaflaris , Dominik Mokriš","doi":"10.1016/j.gmod.2024.101251","DOIUrl":"10.1016/j.gmod.2024.101251","url":null,"abstract":"<div><div>We propose a new paradigm for scattered data fitting with adaptive spline constructions based on the key interplay between parameterization and adaptivity. Specifically, we introduce two novel adaptive fitting schemes that combine moving parameterizations with adaptive spline refinement for highly accurate CAD models reconstruction from real-world scattered point clouds. The first scheme alternates surface fitting and data parameter optimization. The second scheme jointly optimizes the parameters and the surface control points. To combine the proposed fitting methods with adaptive spline constructions, we present a key treatment of boundary points. Industrial examples show that updating the parameterization, within an adaptive spline approximation framework, significantly reduces the number of degrees of freedom needed for a certain accuracy, especially if spline adaptivity is driven by suitably graded hierarchical meshes. The numerical experiments employ THB-splines, thus exploiting the existing CAD integration within the considered industrial setting, nevertheless, any adaptive spline construction can be chosen.</div></div>","PeriodicalId":55083,"journal":{"name":"Graphical Models","volume":"137 ","pages":"Article 101251"},"PeriodicalIF":2.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143140780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Discrete variable 3D models in Computer extended Descriptive Geometry (CeDG): Building of polygonal sheet-metal elbows and comparison against CAD 计算机扩展描述几何（CeDG）中的离散变量三维模型：多边形金属板弯头的建立及其与CAD的比较

IF 2.5 4区计算机科学

Graphical Models Pub Date : 2025-02-01 Epub Date: 2025-01-06 DOI: 10.1016/j.gmod.2024.101253

Manuel Prado-Velasco, Laura García-Ruesgas

引用次数: 0

Geometry of the visual cortex with applications to image inpainting and enhancement 视觉皮层的几何学及其在图像着色和增强中的应用

IF 2.5 4区计算机科学

Graphical Models Pub Date : 2025-02-01 Epub Date: 2024-12-05 DOI: 10.1016/j.gmod.2024.101239

Francesco Ballerin, Erlend Grong

引用次数: 0