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A pinboard by
Omry Sendik

PhD student, Tel Aviv University

PINBOARD SUMMARY

I employ Neural Network's for state of the art texture synthesis

Example-based texture synthesis has been an active research problem for over two decades. Still, synthesizing textures with non-local structures remains a challenge. In this paper, we present a texture synthesis technique that builds upon convolutional neural networks and extracted statistics of pre-trained deep features. We introduce a structural energy, based on correlations among deep features, which capture the self-similarities and regularities characterizing the texture. Specifically, we show that our technique can synthesize textures that have structures of various scales, local and nonlocal, and the combination of the two.

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