DTSGAN: Learning Dynamic Textures via Spatiotemporal Generative Adversarial Network

Dynamic texture synthesis aims to generate sequences that are visually similar to a reference video texture and exhibit specific stationary properties in time. In this paper, we introduce a spatiotemporal generative adversarial network (DTSGAN) that can learn from a single dynamic texture by capturi...

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Hauptverfasser: Li, Xiangtian, Wang, Xiaobo, Qi, Zhen, Cao, Han, Zhang, Zhaoyang, Xiang, Ao
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Sprache:eng
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