most citedDTSGAN: Learning Dynamic Textures via Spatiotemporal Generative Adversarial Network

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CV2024★ 2 cited

DTSGAN: Learning Dynamic Textures via Spatiotemporal Generative Adversarial Network

Xiangtian Li, Xiaobo Wang, Zhen Qi +3

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 in…