Deep Sketch-Based 3D Modeling: A Survey
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arXiv
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| Autores principales: | , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| _version_ | 1866910039997939712 |
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| author | Tono, Alberto Wu, Jiajun Wetzstein, Gordon Armeni, Iro Subramonyam, Hariharan Landay, James Fischer, Martin |
| author_facet | Tono, Alberto Wu, Jiajun Wetzstein, Gordon Armeni, Iro Subramonyam, Hariharan Landay, James Fischer, Martin |
| contents | In the past decade, advances in artificial intelligence have revolutionized sketch-based 3D modeling, leading to a new paradigm known as Deep Sketch-Based 3D Modeling (DS-3DM). DS-3DM offers data-driven methods that address the long-standing challenges of sketch abstraction and ambiguity. DS-3DM keeps humans at the center of the creative process by enhancing the flexibility, usability, faithfulness, and adaptability of sketch-based 3D modeling interfaces. This paper contributes a comprehensive survey of the latest DS-3DM within a novel design space: MORPHEUS. Built upon the Input-Model-Output (IMO) framework, MORPHEUS categorizes Models outputting Options of 3D Representations and Parts, derived from Human inputs (varying in quantity and modality), and Evaluated across diverse User-views and Styles. Throughout MORPHEUS we highlight limitations and identify opportunities for interdisciplinary research in Computer Vision, Computer Graphics, and Human-Computer Interaction, revealing a need for controllability and information-rich outputs. These opportunities align design processes more closely with user' intent, responding to the growing importance of user-centered approaches. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_03287 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Deep Sketch-Based 3D Modeling: A Survey Tono, Alberto Wu, Jiajun Wetzstein, Gordon Armeni, Iro Subramonyam, Hariharan Landay, James Fischer, Martin Graphics Computer Vision and Pattern Recognition Human-Computer Interaction In the past decade, advances in artificial intelligence have revolutionized sketch-based 3D modeling, leading to a new paradigm known as Deep Sketch-Based 3D Modeling (DS-3DM). DS-3DM offers data-driven methods that address the long-standing challenges of sketch abstraction and ambiguity. DS-3DM keeps humans at the center of the creative process by enhancing the flexibility, usability, faithfulness, and adaptability of sketch-based 3D modeling interfaces. This paper contributes a comprehensive survey of the latest DS-3DM within a novel design space: MORPHEUS. Built upon the Input-Model-Output (IMO) framework, MORPHEUS categorizes Models outputting Options of 3D Representations and Parts, derived from Human inputs (varying in quantity and modality), and Evaluated across diverse User-views and Styles. Throughout MORPHEUS we highlight limitations and identify opportunities for interdisciplinary research in Computer Vision, Computer Graphics, and Human-Computer Interaction, revealing a need for controllability and information-rich outputs. These opportunities align design processes more closely with user' intent, responding to the growing importance of user-centered approaches. |
| title | Deep Sketch-Based 3D Modeling: A Survey |
| topic | Graphics Computer Vision and Pattern Recognition Human-Computer Interaction |
| url | https://arxiv.org/abs/2603.03287 |