Methods › Computer Vision › Unpaired Image-to-Image Translation › pixel2style2pixel
pixel2style2pixel
Introduced by Elad Richardson et al. in Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Pixel2Style2Pixel, or pSp, is an image-to-image translation framework that is based on a novel encoder that directly generates a series of style vectors which are fed into a pretrained StyleGAN generator, forming the extended 𝒲+ latent space. Feature maps are first extracted using a standard feature pyramid over a ResNet backbone. Then, for each of $18$ target styles, a small mapping network is trained to extract the learned styles from the corresponding feature map, where styles (0-2) are generated from the small feature map, (3-6) from the medium feature map, and (7-18) from the largest feature map. The mapping network, map2style, is a small fully convolutional network, which gradually reduces spatial size using a set of 2-strided convolutions followed by LeakyReLU activations. Each generated 512 vector, is fed into StyleGAN, starting from its matching affine transformation, A.
Papers archive 2025-07-28
2 shown of 2, 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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Subsurface Depths Structure Maps Reconstruction with Generative Adversarial Networks 15 Jun 2022 · 0 repositories · arXiv:2206.07388
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Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation 3 Aug 2020 · 10 repositories · arXiv:2008.00951Syntology ran 6 of 16 samples · 10 unverified · 1 pointer-only (licence)
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 |
|---|---|
| Conditional Image Generation | 1 |
| Face Generation | 1 |
| Image-to-Image Translation | 1 |
| Super-Resolution | 1 |
| Transfer Learning | 1 |
| Translation | 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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