2020ECCV VSR Video Super-Resolution with Recurrent Structure-Detail Network
Video Super-Resolution with Recurrent Structure-Detail Network 1.總結 作者提出的網絡將輸入分成了結構和細節兩部分，這些部分被送入到由幾個proposed two-stream struct-detail模塊。另外，引入了自適應隱藏層模塊，允許當前幀可以有選擇地使用來自隱藏層狀態的信息，可以增強對外觀變化和累積錯誤的魯棒性。 分析比較
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相關文章
- 1. 《Recurrent Back-Projection Network for Video Super-Resolution》論文閱讀
- 2. DeepAR:Probabilistic forecasting with autoregressive recurrent network
- 3. 《Recurrent Back-Projection Network for Video Super-Resolution》論文閱讀之RBPN
- 4. (zhuan) Recurrent Neural Network
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- 6. VSR論文筆記二|Robust Video Super-Resolution with Learned Temporal Dynamics
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