[Style Transfer]—Combining Markov Random Fields and Convolutional Neural Network for Image Synthesis
Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis 基于马尔科夫随机场和卷积神经网络的图像合成 from CVPR2016 Abstract 本文将马尔科夫随机场与深度卷积神经网络结合用于2D图像的合称，其中MRF会作用于CNN提取的高阶特征，在抽象层面上调整图像的输出，可用于写实
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相关文章
- 1. Image style transfer
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- 8. [Style Transfer]——Adversarial Stain Transfer for Histopathology Image Analysis
- 9. A Cascaded Convolutional Neural Network for Single Image Dehazing
- 10. 总结Deep Convolutional Neural Network for Image Deconvolution