Generating Digital Models Using Text-to-3D and Image-to-3D Prompts: Critical Case Study
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866913844412022784 |
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| author | Ziatdinov, Rushan Nabiyev, Rifkat |
| author_facet | Ziatdinov, Rushan Nabiyev, Rifkat |
| contents | In the world of technology and AI, digital models play an important role in our lives and are an essential part of the digital twins of real-world objects. They can be created by designers, artists, or game developers using spline curves and surfaces, meshes, and voxels, but making such models is too time-consuming. With the growth of AI tools, there is interest in the automated generation of 3D models, such as generative design approaches, which can save creators valuable time. This paper reviews several online 3D model generators and critically analyses the results, hoping to see higher-quality results from different prompts. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_11799 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Generating Digital Models Using Text-to-3D and Image-to-3D Prompts: Critical Case Study Ziatdinov, Rushan Nabiyev, Rifkat Graphics Multimedia In the world of technology and AI, digital models play an important role in our lives and are an essential part of the digital twins of real-world objects. They can be created by designers, artists, or game developers using spline curves and surfaces, meshes, and voxels, but making such models is too time-consuming. With the growth of AI tools, there is interest in the automated generation of 3D models, such as generative design approaches, which can save creators valuable time. This paper reviews several online 3D model generators and critically analyses the results, hoping to see higher-quality results from different prompts. |
| title | Generating Digital Models Using Text-to-3D and Image-to-3D Prompts: Critical Case Study |
| topic | Graphics Multimedia |
| url | https://arxiv.org/abs/2505.11799 |