High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis
1. Motivation 傳統的方法假設圖像中不同的patch之間的相似性高； 生成圖像的紋理細節不好，且不能處理高分辨率的圖像。 2. Approach 2.1 Network Structure Framework Overview. The network architecture for structured content prediction. 網絡分爲兩部分，Conten Netw
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相關文章
- 1. 圖像修復：High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis（CVPR2017）
- 2. Image Inpainting via Generative Multi-column Convolutional Neural Networks
- 3. 圖像修復之Image Inpainting for Irregular Holes Using Partial Convolutions
- 4. HIERARCHICAL MULTISCALE RECURRENT NEURAL NETWORKS
- 5. Generative Adversarial Network Architectures For Image Synthesis Using Capsule Networks
- 6. Image Fine-grained Inpainting
- 7. 閱讀筆記----Graphcut Textures-Image and Video Synthesis Using Graph Cuts
- 8. [Style Transfer]—Combining Markov Random Fields and Convolutional Neural Network for Image Synthesis
- 9. Generative Adversarial Text to Image Synthesis
- 10. 論文|Free-Form Image Inpainting with Gated Convolution