Takeru Miyato, Masanori Koyama
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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. W ...
ith 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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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.
crcrpar/pytorch.sngan_projection is the closest maintained adjacent implementation (Matches contextual method/domain keyword: discriminator). It is not paper-verified; validate algorithm and evaluation setup against the paper before trusting reported metrics. Community adoption signal: 156 GitHub stars.
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Evidence graph: 3 refs, 3 links.
Utility signals: depth 70/100, grounding 75/100, status medium.
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Strong overlap with paper title keywords · Community adoption signal (1104 stars)
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Matches contextual method/domain keyword: discriminator
Matches contextual method/domain keyword: discriminator
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412
Citations
23
References
Tasks
Discriminator, Projection (relational algebra), Computer science, Engineering, Media Technology, Physical Sciences
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None detected
Domains
Artificial intelligence
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