Handloom Design Generation Using Generative Networks
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arXiv
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| Hauptverfasser: | , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866912384183959552 |
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| author | Bhattacharjee, Rajat Kanti Nandi, Meghali Jha, Amrit Kalita, Gunajit Barbhuiya, Ferdous Ahmed |
| author_facet | Bhattacharjee, Rajat Kanti Nandi, Meghali Jha, Amrit Kalita, Gunajit Barbhuiya, Ferdous Ahmed |
| contents | This paper proposes deep learning techniques of generating designs for clothing, focused on handloom fabric and discusses the associated challenges along with its application. The capability of generative neural network models in understanding artistic designs and synthesizing those is not yet explored well. In this work, multiple methods are employed incorporating the current state of the art generative models and style transfer algorithms to study and observe their performance for the task. The results are then evaluated through user score. This work also provides a new dataset NeuralLoom for the task of the design generation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_14330 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Handloom Design Generation Using Generative Networks Bhattacharjee, Rajat Kanti Nandi, Meghali Jha, Amrit Kalita, Gunajit Barbhuiya, Ferdous Ahmed Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning This paper proposes deep learning techniques of generating designs for clothing, focused on handloom fabric and discusses the associated challenges along with its application. The capability of generative neural network models in understanding artistic designs and synthesizing those is not yet explored well. In this work, multiple methods are employed incorporating the current state of the art generative models and style transfer algorithms to study and observe their performance for the task. The results are then evaluated through user score. This work also provides a new dataset NeuralLoom for the task of the design generation. |
| title | Handloom Design Generation Using Generative Networks |
| topic | Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning |
| url | https://arxiv.org/abs/2505.14330 |