67 citations · 108 across the 9 of their papers we have counts for
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cs.CV2016★ 19 cited
Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks
Chuan Li, Michael Wand
This paper proposes Markovian Generative Adversarial Networks (MGANs), a method for training generative neural networks for efficient texture synthesis. While deep neural network a…
cs.CV2016★ 67 cited
Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis
Chuan Li, Michael Wand
This paper studies a combination of generative Markov random field (MRF) models and discriminatively trained deep convolutional neural networks (dCNNs) for synthesizing 2D images.…