Generative Adversarial Networks
StyleMapGAN
Introduced by Kim et al. in Exploiting Spatial Dimensions of Latent in GAN for Real-time Image EditingStyleMapGAN is a generative adversarial network for real-time image editing. The intermediate latent space has spatial dimensions, and a spatially variant modulation replaces AdaIN. It aims to make the embedding through an encoder more accurate than existing optimization-based methods while maintaining the properties of GANs.
Source: Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing
Papers
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Usage Over Time
Components
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| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
