6/17 Deep Face SR with Iterative Collaboration between Attentive Recovery and Landmark Estimation
CVPR2020 Deep Face SR with Iterative Collaboration between Attentive Recovery and Landmark Estimation Attention恢复与关键点估计之间具有迭代协作的深度人脸超分辨率 Abstract 现有方法无法充分利用先验知识，因为人脸先验信息（例如关键点 component map）是由低分辨率或粗略的
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相关文章
- 1. 人脸对齐--Robust face landmark estimation under occlusion
- 2. Human Pose Estimation with Iterative Error Feedback
- 3. Deep Learning Models and Code for Pose Estimation
- 4. 二值人脸对齐--Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment
- 5. Deep Reinforcement Learning with Iterative Shift for Visual Tracking
- 6. CVPR 2020 & AAAI 2020超分辨率（super-resolution）方向上接收论文总结
- 7. FlowNet 2.0 Evolution of Optical Flow Estimation with Deep Networks
- 8. Differences between Deep web and Dark web
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