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- Publisher Website: 10.1109/TPAMI.2025.3594478
- Scopus: eid_2-s2.0-105012439348
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Article: GetMesh: A Controllable Model for High-quality Mesh Generation and Manipulation
| Title | GetMesh: A Controllable Model for High-quality Mesh Generation and Manipulation |
|---|---|
| Authors | |
| Keywords | 3D Generation AIGC Controllable Generation Diffusion Model |
| Issue Date | 31-Jul-2025 |
| Publisher | Institute of Electrical and Electronics Engineers |
| Citation | IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025 How to Cite? |
| Abstract | Meshes 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 Identifier | http://hdl.handle.net/10722/366555 |
| ISSN | 2023 Impact Factor: 20.8 2023 SCImago Journal Rankings: 6.158 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Fei, Ben | - |
| dc.contributor.author | Wang, Jinyi | - |
| dc.contributor.author | Bai, Lei | - |
| dc.contributor.author | Liu, Keyi | - |
| dc.contributor.author | Xu, Xudong | - |
| dc.contributor.author | Yang, Weidong | - |
| dc.contributor.author | Zhang, Ya | - |
| dc.contributor.author | He, Ying | - |
| dc.contributor.author | Lin, Dahua | - |
| dc.contributor.author | Lyu, Zhaoyang | - |
| dc.contributor.author | Dai, Bo | - |
| dc.date.accessioned | 2025-11-25T04:20:04Z | - |
| dc.date.available | 2025-11-25T04:20:04Z | - |
| dc.date.issued | 2025-07-31 | - |
| dc.identifier.citation | IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025 | - |
| dc.identifier.issn | 0162-8828 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/366555 | - |
| dc.description.abstract | Meshes 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.language | eng | - |
| dc.publisher | Institute of Electrical and Electronics Engineers | - |
| dc.relation.ispartof | IEEE Transactions on Pattern Analysis and Machine Intelligence | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.subject | 3D Generation | - |
| dc.subject | AIGC | - |
| dc.subject | Controllable Generation | - |
| dc.subject | Diffusion Model | - |
| dc.title | GetMesh: A Controllable Model for High-quality Mesh Generation and Manipulation | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.1109/TPAMI.2025.3594478 | - |
| dc.identifier.scopus | eid_2-s2.0-105012439348 | - |
| dc.identifier.eissn | 1939-3539 | - |
| dc.identifier.issnl | 0162-8828 | - |
