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Here we present a parametric model for dynamic textures.
M. Szummer and R. W. Picard, “Temporal texture modeling,” in Image Processing, 1996. Proceedings., International Conference on
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A. Schödl, R. Szeliski, D. H. Salesin, and I. Essa, “Video Textures,” in Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques
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Y. Wang and S.-C. Zhu, “A generative method for textured motion: Analysis and synthesis,” in European Conference on Computer Vision
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G. Doretto, A. Chiuso, Y. N. Wu, and S. Soatto, “Dynamic textures,” in Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference On
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Cited alongside, same era.
V. Kwatra, A. Schödl, I. Essa, G. Turk, and A. Bobick, “Graphcut textures: image and video synthesis using graph cuts,” in ACM Transactions on Graphics (ToG)
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R. Péteri, S. Fazekas, and M. J. Huiskes, “DynTex: A comprehensive database of dynamic textures,” Pattern Recognition Letters
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K. Simonyan and A. Zisserman, “Very Deep Convolutional Networks for Large-Scale Image Recognition,” arXiv:1409.1556 [cs] · 2014
Cited alongside, same era.
L. A. Gatys, A. S. Ecker, and M. Bethge, “Texture synthesis using convolutional neural networks,” Advances in Neural Information Processing Systems 28
2015
Later among the works it cites.
2016
Later among the works it cites.
Z. Zhu, X. You, S. Yu, J. Zou, and H. Zhao, “Dynamic texture modeling and synthesis using multi-kernel Gaussian process dynamic model,” Signal Processing
2016
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M. Ruder, A. Dosovitskiy, and T. Brox, “Artistic style transfer for videos,” in German Conference on Pattern Recognition
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