Relevant bibliographies by topics / Sketch-based 3D Model

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Sketch-based 3D Model'

Author: Grafiati
Published: 4 June 2025
Last updated: 15 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Sketch-based 3D Model.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Sketch-based 3D Model"

1

Lei, Haopeng, Guoliang Luo, Yuhua Li, Jianming Liu, and Jihua Ye. "Sketch-Based 3D Model Retrieval Using Attributes." International Journal of Grid and High Performance Computing 10, no. 3 (2018): 60–75. http://dx.doi.org/10.4018/ijghpc.2018070105.

Full text
Abstract:
With the rapid growth of available 3D models on the Internet, how to retrieve 3D models based on hand-drawn sketch retrieval are becoming increasingly important. This article proposes a new sketch-based 3D model retrieval approach. This approach is different from current methods that make use of low-level visual features to capture the search intention of users. The proposed method uses two kinds of semantic attributes, including pre-defined attributes and latent attributes. Specifically, pre-defined attributes are defined manually which can provide prior knowledge about different sketch categ
APA, Harvard, Vancouver, ISO, and other styles
2

Li, Bo, and Henry Johan. "Sketch-based 3D model retrieval by incorporating 2D-3D alignment." Multimedia Tools and Applications 65, no. 3 (2012): 363–85. http://dx.doi.org/10.1007/s11042-012-1009-0.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Zhou, Ruomei Wang and Fan. "A Sketch-based 3D Garment Model Retrieval Algorithm." Journal of Fiber Bioengineering and Informatics 6, no. 2 (2013): 217–24. http://dx.doi.org/10.3993/jfbi06201310.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Bai, Jing, Mengjie Wang, and Dexin Kong. "Deep Common Semantic Space Embedding for Sketch-Based 3D Model Retrieval." Entropy 21, no. 4 (2019): 369. http://dx.doi.org/10.3390/e21040369.

Full text
Abstract:
Sketch-based 3D model retrieval has become an important research topic in many applications, such as computer graphics and computer-aided design. Although sketches and 3D models have huge interdomain visual perception discrepancies, and sketches of the same object have remarkable intradomain visual perception diversity, the 3D models and sketches of the same class share common semantic content. Motivated by these findings, we propose a novel approach for sketch-based 3D model retrieval by constructing a deep common semantic space embedding using triplet network. First, a common data space is c
APA, Harvard, Vancouver, ISO, and other styles
5

Jing, Zhang, sheng Kang Bao, Jiang Bo, and Zhang Di. "A novel sketch-based 3D model retrieval approach based on skeleton." International Journal of Informatics and Communication Technology (IJ-ICT) 8, no. 1 (2019): 1–12. https://doi.org/10.11591/ijict.v8i1.pp1-12.

Full text
Abstract:
Since the skeleton represents the topology structure of the query sketch and 2D views of 3D model, this paper proposes a novel sketch-based 3D model retrieval algorithm which utilizes skeleton characteristics as the features to describe the object shape. Firstly, we propose advanced skeleton strength map (ASSM) algorithm to create the skeleton which computes the skeleton strength map by isotropic diffusion on the gradient vector field, selects critical points from the skeleton strength map and connects them by Kruskal's algorithm. Then, we propose histogram feature comparison algorithm whi
APA, Harvard, Vancouver, ISO, and other styles
6

Zhang, Jing, Bao Sheng Kang, Bo Jiang, and Di Zhang. "A novel sketch-based 3D model retrieval approach based on skeleton." International Journal of Informatics and Communication Technology (IJ-ICT) 8, no. 1 (2019): 1. http://dx.doi.org/10.11591/ijict.v8i1.pp1-12.

Full text
Abstract:
<span>Since the skeleton represents the topology structure of the query sketch and 2D views of 3D model, this paper proposes a novel sketch-based 3D model retrieval algorithm which utilizes skeleton characteristics as the features to describe the object shape. Firstly, we propose advanced skeleton strength map (ASSM) algorithm to create the skeleton which computes the skeleton strength map by isotropic diffusion on the gradient vector field, selects critical points from the skeleton strength map and connects them by Kruskal's algorithm. Then, we propose histogram feature comparison algor
APA, Harvard, Vancouver, ISO, and other styles
7

Wang, Fei, Yu Yang, Baoquan Zhao, Dazhi Jiang, Siwei Chen, and Jianqiang Sheng. "Reconstructing 3D Model from Single-View Sketch with Deep Neural Network." Wireless Communications and Mobile Computing 2021 (April 19, 2021): 1–9. http://dx.doi.org/10.1155/2021/5577530.

Full text
Abstract:
In this paper, we introduce a novel 3D shape reconstruction method from a single-view sketch image based on a deep neural network. The proposed pipeline is mainly composed of three modules. The first module is sketch component segmentation based on multimodal DNN fusion and is used to segment a given sketch into a series of basic units and build a transformation template by the knots between them. The second module is a nonlinear transformation network for multifarious sketch generation with the obtained transformation template. It creates the transformation representation of a sketch by extra
APA, Harvard, Vancouver, ISO, and other styles
8

Cao, Bin, Yang Kang, Shujin Lin, Xiaonan Luo, Songhua Xu, and Zhihan Lv. "Style-sensitive 3D model retrieval through sketch-based queries." Journal of Intelligent & Fuzzy Systems 31, no. 5 (2016): 2637–44. http://dx.doi.org/10.3233/jifs-169104.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Yoon, S. M., and A. Kuijper. "Sketch-based 3D model retrieval using compressive sensing classification." Electronics Letters 47, no. 21 (2011): 1181. http://dx.doi.org/10.1049/el.2011.2158.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Liu, Feng-Lin, Hongbo Fu, Yu-Kun Lai, and Lin Gao. "SketchDream: Sketch-based Text-To-3D Generation and Editing." ACM Transactions on Graphics 43, no. 4 (2024): 1–13. http://dx.doi.org/10.1145/3658120.

Full text
Abstract:
Existing text-based 3D generation methods generate attractive results but lack detailed geometry control. Sketches, known for their conciseness and expressiveness, have contributed to intuitive 3D modeling but are confined to producing texture-less mesh models within predefined categories. Integrating sketch and text simultaneously for 3D generation promises enhanced control over geometry and appearance but faces challenges from 2D-to-3D translation ambiguity and multi-modal condition integration. Moreover, further editing of 3D models in arbitrary views will give users more freedom to customi
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Sketch-based 3D Model"

1

Bao, Xin. "Sketch-based intuitive 3D model deformations." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/sketchbased-intuitive-3d-model-deformations(2c12a1f9-cf0c-45d1-926e-a5f3db0d5acb).html.

Full text
Abstract:
In 3D modelling software, deformations are used to add, to remove, or to modify geometric features of existing 3D models to create new models with similar but slightly different details. Traditional techniques for deforming virtual 3D models require users to explicitly define control points and regions of interest (ROIs), and to define precisely how to deform ROIs using control points. The awkwardness of defining these factors in traditional 3D modelling software makes it difficult for people with limited experience of 3D modelling to deform existing 3D models as they expect. As applications w
APA, Harvard, Vancouver, ISO, and other styles
2

Wang, Changling. "Sketch based 3D freeform object modeling with non-manifold data structure /." View Abstract or Full-Text, 2002. http://library.ust.hk/cgi/db/thesis.pl?MECH%202002%20WANGC.

Full text
Abstract:
Thesis (Ph. D.)--Hong Kong University of Science and Technology, 2002.<br>Includes bibliographical references (leaves 143-152). Also available in electronic version. Access restricted to campus users.
APA, Harvard, Vancouver, ISO, and other styles
3

Chang, Xianglong. "Semi-automatic fitting of deformable 3D models to 2D sketches." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/797.

Full text
Abstract:
We present a novel method for building 3D models from a user sketch. Given a 2D sketch as input, the approach aligns and deforms a chosen 3D template model to match the sketch. This is guided by a set of user-specified correspondences and an algorithm that deforms the 3D model to match the sketched profile. Our primary contribution is related to fitting the 3D deformable geometry to the 2D user sketch. We demonstrate our technique on several examples.
APA, Harvard, Vancouver, ISO, and other styles
4

Lin, Po-chung, and 林柏均. "Sketch-based 3D Model Identification and Angle Estimation Using Cascaded LSDA." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/61625348224651215068.

Full text
Abstract:
碩士<br>國立成功大學<br>資訊工程學系碩博士班<br>97<br>Existing tools for reconstructing 3D models from user freehand sketch is a tedious work, as it requires manually choosing a targeted 3D model in a database and carefully matching 3D model to the desired 2D sketch. The major difficulty for automation of 3D reconstruction is that 3D model has various 2D contours caused by changing viewpoints. In this paper, we proposed a novel cascaded framework of 3D models reorganization and categorization for automatically choosing and matching tasks. In the training process, each 3D model in the database is decomposed as s
APA, Harvard, Vancouver, ISO, and other styles
5

Xiao, Dan. "Sketch-based instancing of parameterized 3D models." Thesis, 2004. http://hdl.handle.net/2429/15812.

Full text
Abstract:
We present a system for constructing 3D models from simple hand-drawn sketches. The system exploits a priori knowledge about the type of object being sketched. In particular, we assume that the class of object being drawn is known, (e.g., a rocket ship) and that the object will be drawn using a fixed number of known components. By using these assumptions, we show that we can build a sketch-based modeling system that, while object specific, is capable of quickly creating geometric models that are beyond the scope of current sketch-based modeling approaches. Key to our approach is the use of a K
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Sketch-based 3D Model"

1

Mitani, Jun, Hiromasa Suzuki, and Fumihiko Kimura. "3D Sketch: Sketch-Based Model Reconstruction and Rendering." In From Geometric Modeling to Shape Modeling. Springer US, 2002. http://dx.doi.org/10.1007/978-0-387-35495-8_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Qian, Lu, Yachun Fan, Mingquan Zhou, Hua Luan, and Pu Ren. "Manifold Ranking for Sketch-Based 3D Model Retrieval." In Transactions on Edutainment XIII. Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-54395-5_14.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Yang, Hong-Bin, Mikhael Johanes, Frederick Chando Kim, Mathias Bernhard, and Jeffrey Huang. "Architectural Sketch to 3D Model: An Experiment on Simple-Form Houses." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37189-9_4.

Full text
Abstract:
AbstractTransforming sketches into digital 3D models has been an enduring practice in the design process since the first digital turn in architecture. However, 3D modeling is time-consuming, and 3D modeling software usually has a cumbersome interface. Aiming to bridge the gap between sketch and 3D model, we propose a framework that can turn a hand-drawn 2D sketch into a 3D mesh. The user can draw a sketch on the canvas through a web-based interface, and the corresponding 3D model will automatically be generated and shown aside. The 3D model can be downloaded or synchronized into the Rhino directly through Grasshopper.The proposed framework uses a machine learning-based approach to generate a 3D mesh from a single hand-drawn sketch by deforming a template shape. Since the generated models have an uneven surface, we apply an optimization step to refine the form, creating a more usable architectural 3D model with planar faces and sharper edges. We create the Simple House Dataset, which consists of 5000 single-volume houses, to train the neural network. We defined five categories of house typologies - distinguished by roof shape and other geometric properties - and generated 1000 models for each class with parameters chosen randomly. Each model includes a 3D mesh and 20 perspective line drawings from different angles.Although the limitation of the generalization ability makes it unlikely to replace the conventional 3D modeling software today, the fast sketch to 3D transformation allows architects to explore the possibility of various architectural forms and may speed up the design process in the early stage. The code of this project and the Simple House dataset has been published on Github [29].
APA, Harvard, Vancouver, ISO, and other styles
4

Mao, Dianhui, Huanpu Yin, Haisheng Li, and Qiang Cai. "Sketch-Based 3D Model Shape Retrieval Using Multi-feature Fusion." In Proceedings of the 2015 Chinese Intelligent Systems Conference. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48365-7_40.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Gao, Kai, Jian Zhang, Chen Li, Changbo Wang, Gaoqi He, and Hong Qin. "Novel Sketch-Based 3D Model Retrieval via Cross-domain Feature Clustering and Matching." In Artificial Neural Networks and Machine Learning – ICANN 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61609-0_24.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Kelly, Tom. "CityEngine: An Introduction to Rule-Based Modeling." In Urban Informatics. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_35.

Full text
Abstract:
AbstractCityEngine is a rule-based urban modeling software package. It offers a flexible pipeline to transform 2D data into 3D urban models. Typical applications include processing 2D urban cartographic geographic information system (GIS) data to create a detailed 3D city model, creating a detailed visualization of a proposed development, or exploring the design space of a potential project. The rule-based core of Esri’s CityEngine has some unique advantages: Huge cities can be created as easily as small ones, while the quality of the models is consistent throughout. Additionally, this rule-based approach means that large design spaces can be explored quickly, interactively, and analytically compared. Such advantages must be carefully balanced against the increased time to create and parameterize the rules and the sometimes stylistic or approximate models created; coming from more traditional workflows, CityEngine’s pipeline can be initially overwhelming. We introduce the principal workflows and the flexibility they afford, sketch the procedural programming language used, and discuss the export pathways available.
APA, Harvard, Vancouver, ISO, and other styles
7

Kara, Levent Burak, and Kenji Shimada. "The Creation and Modification of 3D Models Using Sketches and Curves." In Sketch-based Interfaces and Modeling. Springer London, 2011. http://dx.doi.org/10.1007/978-1-84882-812-4_13.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Nealen, Andrew, and Marc Alexa. "The Creation and Modification of 3D Models Using Sketches and Curves." In Sketch-based Interfaces and Modeling. Springer London, 2011. http://dx.doi.org/10.1007/978-1-84882-812-4_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Xiao, Dan, Zhigeng Pan, and Renzhong Zhou. "Sketch-Based Instancing of Parameterized 3D Models." In Entertainment for Education. Digital Techniques and Systems. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14533-9_56.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Hou, Wentao, Zhenyu Diao, and Jingliang Peng. "Sketch-Based 3D Shape Retrieval Via Cross-Modal Contrastive Learning and Difficulty-Aware Uncertainty Regularization." In Lecture Notes in Computer Science. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-8508-7_36.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Sketch-based 3D Model"

1

Li, Bo, Yijuan Lu, Azeem Ghumman, et al. "3D Sketch-Based 3D Model Retrieval." In ICMR '15: International Conference on Multimedia Retrieval. ACM, 2015. http://dx.doi.org/10.1145/2671188.2749349.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Bo Li, Yijuan Lu, and Ribel Fares. "Semantic sketch-based 3D model retrieval." In 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW). IEEE, 2013. http://dx.doi.org/10.1109/icmew.2013.6618316.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Yang, Hairui, Ning Wang, Zhihui Wang, and Lei Wang. "Sketch-based 3D Model Retrieval with Cross-Modal Representation." In MMAsia '24: ACM Multimedia Asia. ACM, 2024. https://doi.org/10.1145/3696409.3700283.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Furuya, Takahiko, and Ryutarou Ohbuchi. "Hashing Cross-Modal Manifold for Scalable Sketch-Based 3D Model Retrieval." In 2014 2nd International Conference on 3D Vision (3DV). IEEE, 2014. http://dx.doi.org/10.1109/3dv.2014.72.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Ye, Yuxiang, Bo Li, and Yijuan Lu. "3D sketch-based 3D model retrieval with convolutional neural network." In 2016 23rd International Conference on Pattern Recognition (ICPR). IEEE, 2016. http://dx.doi.org/10.1109/icpr.2016.7900083.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Li, Bo, and Henry Johan. "View context based 2D sketch-3D model alignment." In 2011 IEEE Workshop on Applications of Computer Vision (WACV). IEEE, 2011. http://dx.doi.org/10.1109/wacv.2011.5711482.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Wen, Yafei, Changqing Zou, Jianzhuang Liu, Shuze Du, and Shifeng Chen. "Sketch-Based 3D Model Retrieval via Multi-feature Fusion." In 2014 22nd International Conference on Pattern Recognition (ICPR). IEEE, 2014. http://dx.doi.org/10.1109/icpr.2014.782.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Bian, Qianwei, Zhiping Hu, Yuanjun He, and Hongming Cai. "Bling: A new sketch based 3D model search engine." In 2010 3rd International Conference on Information Sciences and Interaction Sciences (ICIS). IEEE, 2010. http://dx.doi.org/10.1109/icicis.2010.5534731.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Li, Bo, Yijuan Lu, and Jian Shen. "A semantic tree-based approach for sketch-based 3D model retrieval." In 2016 23rd International Conference on Pattern Recognition (ICPR). IEEE, 2016. http://dx.doi.org/10.1109/icpr.2016.7900240.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Wen, Yafei, Changqing Zou, and Jianzhuang Liu. "Probabilistic latent semantic analysis for sketch-based 3D model retrieval." In 2014 4th IEEE International Conference on Information Science and Technology (ICIST). IEEE, 2014. http://dx.doi.org/10.1109/icist.2014.6920548.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Sketch-based 3D Model' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography