A Recursive Restoration Model for Single-Image Super-Resolution(EBRN ICCV2019)
文章標題：Embedded Block Residual Network: A Recursive Restoration Model for Single-Image Super-Resolution 文章鏈接：http://openaccess.thecvf.com/content_ICCV_2019/papers/Qiu_Embedded_Block_Residual_Network_A_R
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相關文章
- 1. Embedded Block Residual Network: A Recursive Restoration Model for Single-Image Super-Resolution
- 2. CFSNet: Toward a Controllable Feature Space for Image Restoration ICCV2019
- 3. [ICCV2019 Best Paper Award] SinGAN: Learning a Generative Model from a Single Natural Image
- 4. [ICCV2019] SinGAN: Learning a Generative Model from a Single Natural Image
- 5. Discriminative Transfer Learning for General Image Restoration
- 6. A reflectance model for computer graphics
- 7. inspects a maven model for resolution problems
- 8. A Deep Reinforced Model for Abstractive Summarization
- 9. 論文解讀之MemNet: A Persistent Memory Network for Image Restoration
- 10. Using XtraBackup for Physical Backup and Restoration