Search Results for author:
Found 3 papers, 0 papers with code
Teacher-Student Network for Real-World Face Super-Resolution with Progressive Embedding of Edge Information
Moreover, because of the existence of a domain gap, the semantic feature information of the target domain may be affected when synthetic data and real data are utilized to train super-resolution models simultaneously.
Face Super-Resolution with Progressive Embedding of Multi-scale Face Priors
In this paper, we propose a novel recurrent convolutional network based framework for face super-resolution, which progressively introduces both global shape and local texture information.
Action Unit Detection with Joint Adaptive Attention and Graph Relation
This paper describes an approach to the facial action unit (AU) detection.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
