Methods › Computer Vision › Face Restoration Models › PSFR-GAN
PSFR-GAN
Introduced by Chaofeng Chen et al. in Progressive Semantic-Aware Style Transformation for Blind Face Restoration
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
PSFR-GAN is a semantic-aware style transformation framework for face restoration. Given a pair of LQ face image and its corresponding parsing map, we first generate a multi-scale pyramid of the inputs, and then progressively modulate different scale features from coarse-to-fine in a semantic-aware style transfer way. Compared with previous networks, the proposed PSFR-GAN makes full use of the semantic (parsing maps) and pixel (LQ images) space information from different scales of inputs.
Papers archive 2025-07-28
1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Progressive Semantic-Aware Style Transformation for Blind Face Restoration 18 Sep 2020 · 1 repository · arXiv:2009.08709
Tasks archive 2025-07-28
4 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Blind Face Restoration | 1 |
| Face Parsing | 1 |
| Semantic Parsing | 1 |
| Style Transfer | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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