CVPR2020論文筆記-Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer
CVPR2020論文筆記：Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer 概述 本文介紹一種神經風格遷移模型，所提出方案即使在零樣本設置下也可以產生高質量的圖像，且在更改內容幾何形狀時具有更大的自由度。通過引入Two Stage Peer-Regularization（TSPR）
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相關文章
- 1. Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer(CVPR 2020)——論文閱讀
- 2. Arbitrary Style Transfer with Deep Feature Reshuffle
- 3. Text Style Transfer論文筆記
- 4. Image style transfer
- 5. [Style Transfer]——GANs for Medical Image Analysis
- 6. 論文Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
- 7. 《image Style Transfer Using Convolutional Neural Networks》論文筆記
- 8. 《Universal Style Transfer via Feature Transforms》論文解讀
- 9. [Style Transfer]——Adversarial Stain Transfer for Histopathology Image Analysis
- 10. StyleBank: An Explicit Representation for Neural Image Style Transfer 論文理解