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Found 3 papers, 1 papers with code
Robust Unsupervised StyleGAN Image Restoration
GAN-based image restoration inverts the generative process to repair images corrupted by known degradations.
AdaWCT: Adaptive Whitening and Coloring Style Injection
We show, through experiments on the StarGANv2 architecture, that this generalization, albeit conceptually simple, results in significant improvements in the quality of the generated images.
Overparameterization Improves StyleGAN Inversion
We show that this allows us to obtain near-perfect image reconstruction without the need for encoders nor for altering the latent space after training.
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