Papers › SWAGAN: A Style-based Wavelet-driven Generative Model
SWAGAN: A Style-based Wavelet-driven Generative Model
Rinon Gal, Dana Cohen, Amit Bermano, Daniel Cohen-Or
In recent years, considerable progress has been made in the visual quality of Generative Adversarial Networks (GANs). Even so, these networks still suffer from degradation in quality for high-frequency content, stemming from a spectrally biased architecture, and similarly unfavorable loss functions. To address this issue, we present a novel general-purpose Style and WAvelet based GAN (SWAGAN) that implements progressive generation in the frequency domain. SWAGAN incorporates wavelets throughout its generator and discriminator architectures, enforcing a frequency-aware latent representation at every step of the way. This approach yields enhancements in the visual quality of the generated images, and considerably increases computational performance. We demonstrate the advantage of our method by integrating it into the SyleGAN2 framework, and verifying that content generation in the wavelet domain leads to higher quality images with more realistic high-frequency content. Furthermore, we verify that our model's latent space retains the qualities that allow StyleGAN to serve as a basis for a multitude of editing tasks, and show that our frequency-aware approach also induces improved downstream visual quality.
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Code
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Code Syntology ran Syntology
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Image Generation | FFHQ 1024 x 1024 | SWAGAN-Bi | FID | 4.06 | #11 of 20 | Archive leaderboard | report |
| Image Generation | FFHQ 256 x 256 | SWAGAN-Bi | FID | 5.22 | #25 of 51 | Archive leaderboard | report |
| Image Generation | LSUN Churches 256 x 256 | SWAGAN-Bi | FID | 4.97 | #16 of 27 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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