Methods › Computer Vision › Style Transfer Modules › Revision Network
Revision Network
Introduced by Tianwei Lin et al. in Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Revision Network is a style transfer module that aims to revise the rough stylized image via generating residual details image r_(c s), while the final stylized image is generated by combining r_(c s) and rough stylized image x̅_(c s). This procedure ensures that the distribution of global style pattern in x̅_(c s) is properly kept. Meanwhile, learning to revise local style patterns with residual details image is easier for the Revision Network.
As shown in the Figure, the Revision Network is designed as a simple yet effective encoder-decoder architecture, with only one down-sampling and one up-sampling layer. Further, a patch discriminator is used to help Revision Network to capture fine patch textures under adversarial learning setting. The patch discriminator D is defined following SinGAN, where D owns 5 convolution layers and 32 hidden channels. A relatively shallow D is chosen to (1) avoid overfitting since we only have one style image and (2) control the receptive field to ensure D can only capture local patterns.
Papers archive 2025-07-28
4 shown of 4, 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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FSC: Few-point Shape Completion 12 Mar 2024 · 1 repository · arXiv:2403.07359Syntology ran 6 of 6 samples · 0 unverified
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Attribute Localization and Revision Network for Zero-Shot Learning 11 Oct 2023 · 0 repositories · arXiv:2310.07548
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Arbitrary Style Transfer with Structure Enhancement by Combining the Global and Local Loss 23 Jul 2022 · 0 repositories · arXiv:2207.11438
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Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer 12 Apr 2021 · 2 repositories · arXiv:2104.05376
Tasks archive 2025-07-28
6 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 |
|---|---|
| Style Transfer | 2 |
| Attribute | 1 |
| Classification | 1 |
| Decoder | 1 |
| Object | 1 |
| Zero-Shot Learning | 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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