Globally and Locally Consistent Image Completion
1. Motivation 以前的方法只能生成可以在缺失图像中可以找到的图像碎片，不能理解高级的语义信息； Context Encoders局部的细节修复不是很好，而且分辨率低。 2. Approach 2.1 Architecture of network Overview of our architecture for learning image completion. 判别器：网络中有两个
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相关文章
- 1. 论文笔记Globally and Locally Consistent Image Completion
- 2. Generative Face Completion
- 3. Think Locally, Act Globally: Federated Learning with Local and Global Representations
- 4. Locally Adaptive Color Correction for Underwater Image Dehazing and Matching
- 5. A. Omkar and Completion
- 6. Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
- 7. CycleGAN:Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
- 8. Real-time Globally Consistent 3D Grid Mapping 论文翻译
- 9. CVPR：Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
- 10. codeforces A. Omkar and Completion