Corpus ID: 14448399

Synthesizing Dynamic Textures and Sounds by Spatial-Temporal Generative ConvNet

@article{Xie2016SynthesizingDT,
  title={Synthesizing Dynamic Textures and Sounds by Spatial-Temporal Generative ConvNet},
  author={Jianwen Xie and Song-Chun Zhu and Ying Nian Wu},
  journal={ArXiv},
  year={2016},
  volume={abs/1606.00972}
}
Dynamic textures are spatial-temporal processes that exhibit statistical stationarity or stochastic repetitiveness in the temporal dimension. In this paper, we study the problem of modeling and synthesizing dynamic textures using a generative version of the convolution neural network (ConvNet or CNN) that consists of multiple layers of spatial-temporal filters to capture the spatial-temporal patterns in the dynamic textures. We show that such spatial-temporal generative ConvNet can synthesize… Expand
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