12 papers with code • 0 benchmarks • 0 datasets
Finding the latent code in the GAN latent space corresponding to a natural image.
Noise injection has been proved to be one of the key technique advances in generating high-fidelity images.
In this work, we propose a framework called InterFaceGAN to interpret the disentangled face representation learned by the state-of-the-art GAN models and study the properties of the facial semantics encoded in the latent space.
Blind face restoration usually relies on facial priors, such as facial geometry prior or reference prior, to restore realistic and faithful details.
Ranked #1 on Blind Face Restoration on CelebA-Test
The key idea is pivotal tuning - a brief training process that preserves the editing quality of an in-domain latent region, while changing its portrayed identity and appearance.
Therefore, we propose Latent Optimization of Hairstyles via Orthogonalization (LOHO), an optimization-based approach using GAN inversion to infill missing hair structure details in latent space during hairstyle transfer.
Our results illustrate that defining the geometry of the GAN image manifold can serve as a general framework for understanding GANs.