論文閱讀筆記之——《Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting》
開篇先放張圖片。雖然我之前沒有了解過inpainting的任務，但是感覺能做得效果如此好，真的非常厲害了。至少人眼沒那麼容易區分出修補的部分 In this paper, we propose a Pyramid-context ENcoder Network (PEN-Net) for image inpainting by deep generative models. we propose
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相關文章
- 1. Machine Learning & Deep Learning 論文閱讀筆記
- 2. Context Encoders: Feature Learning by Inpainting 閱讀筆記
- 3. 【論文閱讀】Non-locally Enhanced Encoder-Decoder Network for Single Image De-raining
- 4. 論文閱讀筆記：《SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation》
- 5. 《Generative Image Inpainting with Adversarial Edge Learning》論文閱讀之edge-connect
- 6. 論文閱讀筆記《Learning to Compare: Relation Network for Few-Shot Learning》
- 7. Deep Residual Learning for Image Recognition--ResNet論文閱讀筆記
- 8. Deep Residual Learning for Image Recognition論文閱讀筆記
- 9. 論文閱讀筆記《Image Deformation Meta-Networks for One-Shot Learning》
- 10. 論文閱讀之《Image Inpainting for Irregular Holes Using Partial Convolutions》