A Comparative Study of Garment Draping Techniques
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arXiv
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| Hauptverfasser: | , , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866913356239077376 |
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| author | Achar, Prerana Patel, Mayank Mulik, Anushka Katre, Neha Dias, Stevina Raman, Chirag |
| author_facet | Achar, Prerana Patel, Mayank Mulik, Anushka Katre, Neha Dias, Stevina Raman, Chirag |
| contents | We present a comparison review that evaluates popular techniques for garment draping for 3D fashion design, virtual try-ons, and animations. A comparative study is performed between various methods for garment draping of clothing over the human body. These include numerous models, such as physics and machine learning based techniques, collision handling, and more. Performance evaluations and trade-offs are discussed to ensure informed decision-making when choosing the most appropriate approach. These methods aim to accurately represent deformations and fine wrinkles of digital garments, considering the factors of data requirements, and efficiency, to produce realistic results. The research can be insightful to researchers, designers, and developers in visualizing dynamic multi-layered 3D clothing. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_11056 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Comparative Study of Garment Draping Techniques Achar, Prerana Patel, Mayank Mulik, Anushka Katre, Neha Dias, Stevina Raman, Chirag Graphics Machine Learning We present a comparison review that evaluates popular techniques for garment draping for 3D fashion design, virtual try-ons, and animations. A comparative study is performed between various methods for garment draping of clothing over the human body. These include numerous models, such as physics and machine learning based techniques, collision handling, and more. Performance evaluations and trade-offs are discussed to ensure informed decision-making when choosing the most appropriate approach. These methods aim to accurately represent deformations and fine wrinkles of digital garments, considering the factors of data requirements, and efficiency, to produce realistic results. The research can be insightful to researchers, designers, and developers in visualizing dynamic multi-layered 3D clothing. |
| title | A Comparative Study of Garment Draping Techniques |
| topic | Graphics Machine Learning |
| url | https://arxiv.org/abs/2405.11056 |