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Peng et al., 2023 - Google Patents

A Unified Framework to Super-Resolve Face Images of Varied Low Resolutions

Peng et al., 2023

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Document ID
10535108550023240119
Author
Peng Q
Jiang Z
Huang Y
Peng J
Publication year
Publication venue
arXiv preprint arXiv:2306.03380

External Links

Snippet

The existing face image super-resolution (FSR) algorithms usually train a specific model for a specific low input resolution for optimal results. By contrast, we explore in this work a unified framework that is trained once and then used to super-resolve input face images of …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
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    • G06K9/00268—Feature extraction; Face representation
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