Deep Face Super-Resolution With Iterative Collaboration Between Attentive Recovery and Landmark Estimation
Deep Face Super-Resolution With Iterative Collaboration Between Attentive Recovery and Landmark Estimation
Recent works based on deep learning and facial priors have succeeded in super-resolving severely degraded facial images. However, the prior knowledge is not fully exploited in existing methods, since facial priors such as landmark and component maps are always estimated by low-resolution or coarsely super-resolved images, which may be inaccurate …