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Article: GetMesh: A Controllable Model for High-quality Mesh Generation and Manipulation

TitleGetMesh: A Controllable Model for High-quality Mesh Generation and Manipulation
Authors
Keywords3D Generation
AIGC
Controllable Generation
Diffusion Model
Issue Date31-Jul-2025
PublisherInstitute of Electrical and Electronics Engineers
Citation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025 How to Cite?
AbstractMeshes are essential for representing 3D assets across many industrial applications and serve as the standard input for graphics rendering pipelines. However, their irregular structure makes their creation and manipulation both time-consuming and labor-intensive. In this paper, we introduce GetMesh, a new generative model designed for mesh generation and manipulation across various categories. Utilizing a dynamic number of points as a latent representation, which is then organized into a triplane representation, GetMesh generates meshes with geometric details, sharp features as well as textures. This model significantly outperforms existing methods for both single-category and multi-category generation. Moreover, GetMesh offers unparalleled fine-grained control over the generation process, enabling intuitive, efficient, and robust modifications. These include changing global or local mesh topologies, adding or removing mesh parts, and combining mesh parts across categories through adjustments in the number, positions or features of the latent points.
Persistent Identifierhttp://hdl.handle.net/10722/366555
ISSN
2023 Impact Factor: 20.8
2023 SCImago Journal Rankings: 6.158

 

DC FieldValueLanguage
dc.contributor.authorFei, Ben-
dc.contributor.authorWang, Jinyi-
dc.contributor.authorBai, Lei-
dc.contributor.authorLiu, Keyi-
dc.contributor.authorXu, Xudong-
dc.contributor.authorYang, Weidong-
dc.contributor.authorZhang, Ya-
dc.contributor.authorHe, Ying-
dc.contributor.authorLin, Dahua-
dc.contributor.authorLyu, Zhaoyang-
dc.contributor.authorDai, Bo-
dc.date.accessioned2025-11-25T04:20:04Z-
dc.date.available2025-11-25T04:20:04Z-
dc.date.issued2025-07-31-
dc.identifier.citationIEEE Transactions on Pattern Analysis and Machine Intelligence, 2025-
dc.identifier.issn0162-8828-
dc.identifier.urihttp://hdl.handle.net/10722/366555-
dc.description.abstractMeshes are essential for representing 3D assets across many industrial applications and serve as the standard input for graphics rendering pipelines. However, their irregular structure makes their creation and manipulation both time-consuming and labor-intensive. In this paper, we introduce GetMesh, a new generative model designed for mesh generation and manipulation across various categories. Utilizing a dynamic number of points as a latent representation, which is then organized into a triplane representation, GetMesh generates meshes with geometric details, sharp features as well as textures. This model significantly outperforms existing methods for both single-category and multi-category generation. Moreover, GetMesh offers unparalleled fine-grained control over the generation process, enabling intuitive, efficient, and robust modifications. These include changing global or local mesh topologies, adding or removing mesh parts, and combining mesh parts across categories through adjustments in the number, positions or features of the latent points.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.relation.ispartofIEEE Transactions on Pattern Analysis and Machine Intelligence-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subject3D Generation-
dc.subjectAIGC-
dc.subjectControllable Generation-
dc.subjectDiffusion Model-
dc.titleGetMesh: A Controllable Model for High-quality Mesh Generation and Manipulation-
dc.typeArticle-
dc.identifier.doi10.1109/TPAMI.2025.3594478-
dc.identifier.scopuseid_2-s2.0-105012439348-
dc.identifier.eissn1939-3539-
dc.identifier.issnl0162-8828-

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