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@inproceedings{Grm-SuperResolution_ERK2021,

title = {Frequency Band Encoding for Face Super-Resolution},

author = {Klemen Grm and Štruc Vitomir},

url = {https://lmi.fe.uni-lj.si/wp-content/uploads/2021/10/SRAE_ERK21.pdf},

year  = {2021},

date = {2021-09-10},

booktitle = {Proceedings of ERK 2021},

pages = {1-4},

abstract = {In this paper, we present a novel method for face super-resolution based on an encoder-decoder architecture. Unlike previous approaches, which focused primarily on directly reconstructing the high-resolution face appearance from low-resolution images, our method relies on a multi-stage approach where we learn a face representation in different frequency bands, followed by decoding the representation into a high-resolution image. Using quantitative experiments, we are able to demonstrate that this approach results in better face image reconstruction, as well as aiding in downstream semantic tasks such as face recognition and face verification.},

keywords = {CNN, deep learning, face, face hallucination, frequency encoding, super-resolution},

pubstate = {published},

tppubtype = {inproceedings}

}