تقرير
A geometrically aware auto-encoder for multi-texture synthesis
| العنوان: | A geometrically aware auto-encoder for multi-texture synthesis |
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| المؤلفون: | Chatillon, Pierrick, Gousseau, Yann, Lefebvre, Sidonie |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence |
| الوصف: | We propose an auto-encoder architecture for multi-texture synthesis. The approach relies on both a compact encoder accounting for second order neural statistics and a generator incorporating adaptive periodic content. Images are embedded in a compact and geometrically consistent latent space, where the texture representation and its spatial organisation are disentangled. Texture synthesis and interpolation tasks can be performed directly from these latent codes. Our experiments demonstrate that our model outperforms state-of-the-art feed-forward methods in terms of visual quality and various texture related metrics. Comment: Error in table 1 corrected |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1007/978-3-031-31975-4_20 |
| URL الوصول: | http://arxiv.org/abs/2302.01616 |
| رقم الأكسشن: | edsarx.2302.01616 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1007/978-3-031-31975-4_20 |
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