[Style Transfer]—Combining Markov Random Fields and Convolutional Neural Network for Image Synthesis
Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis 基於馬爾科夫隨機場和卷積神經網絡的圖像合成 from CVPR2016 Abstract 本文將馬爾科夫隨機場與深度卷積神經網絡結合用於2D圖像的合稱，其中MRF會作用於CNN提取的高階特徵，在抽象層面上調整圖像的輸出，可用於寫實
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相關文章
- 1. Image style transfer
- 2. 肝臟分割 Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
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- 9. A Cascaded Convolutional Neural Network for Single Image Dehazing
- 10. 總結Deep Convolutional Neural Network for Image Deconvolution