論文筆記Globally and Locally Consistent Image Completion
論文筆記Globally and Locally Consistent Image Completion 圖1 Patch-based方法的示例圖 Patch-based方法的不足：（1）Depend on low-level features；（2）Unable to generate novel objects；2）基於Context Encoder的圖像補全，該方法基於深度學習生成相似的紋理
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相關文章
- 1. Globally and Locally Consistent Image Completion
- 2. 論文筆記《Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks》
- 3. 【論文筆記】cycleGAN：《Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks》
- 4. 點雲配準論文閱讀筆記—Globally consistent registration of terrestrial laser scans via graph Optimization
- 5. Real-time Globally Consistent 3D Grid Mapping 論文翻譯
- 6. 論文筆記：Spectral Networks and Deep Locally Connected Networks on Graphs
- 7. [論文筆記] [2014] Spectral Networks and Deep Locally Connected Networks on Graphs
- 8. Generative Face Completion
- 9. 論文筆記：Graph Convolutional Matrix Completion
- 10. LIDAR and Monocular Camera Fusion: On-road Depth Completion for Autonomous Driving 論文筆記