Papers › cGANs with Projection Discriminator
cGANs with Projection Discriminator
Takeru Miyato, Masanori Koyama
We propose a novel, projection based way to incorporate the conditional information into the discriminator of GANs that respects the role of the conditional information in the underlining probabilistic model. This approach is in contrast with most frameworks of conditional GANs used in application today, which use the conditional information by concatenating the (embedded) conditional vector to the feature vectors. With this modification, we were able to significantly improve the quality of the class conditional image generation on ILSVRC2012 (ImageNet) 1000-class image dataset from the current state-of-the-art result, and we achieved this with a single pair of a discriminator and a generator. We were also able to extend the application to super-resolution and succeeded in producing highly discriminative super-resolution images. This new structure also enabled high quality category transformation based on parametric functional transformation of conditional batch normalization layers in the generator.
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Code
Syntology Ran 9 of 9 code samples harvested from 2 repositories linked to this paper; 0 have no recorded run. Of those that ran: 1 ran · honoured contract; 2 ran · violated contract; 3 ran · our draft was wrong; 2 ran · fixture could not drive it; 1 ran with no contract checked.
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Code Syntology ran Syntology
9 samples harvested; 9 ran; 1 honoured the contract we drafted; 0 have no recorded run. Read from Syntology's graph 2026-09-24; that is when this build read the record, not when the samples ran.
Licence: 6 of the 9 samples are pointer only, meaning Syntology does not serve that copy's text. This page shows no code text for any sample; each one links to its file in the repository.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Conditional Image Generation | CIFAR-10 | Projection Discriminator | FID | 17.5 | #15 of 25 | Archive leaderboard | report |
| Conditional Image Generation | CIFAR-10 | Projection Discriminator | Inception score | 8.62 | #15 of 25 | Archive leaderboard | report |
| Conditional Image Generation | ImageNet 128x128 | Projection Discriminator | FID | 27.62 | #21 of 22 | Archive leaderboard | report |
| Conditional Image Generation | ImageNet 128x128 | Projection Discriminator | Inception score | 36.8 | #21 of 22 | 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
Introduced by this paper: Projection Discriminator
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