GAN inversion

12 papers with code • 0 benchmarks • 0 datasets

Finding the latent code in the GAN latent space corresponding to a natural image.


Greatest papers with code

On Noise Injection in Generative Adversarial Networks

NVlabs/stylegan2 10 Jun 2020

Noise injection has been proved to be one of the key technique advances in generating high-fidelity images.

GAN inversion Image Generation

InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs

ShenYujun/InterFaceGAN 18 May 2020

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.

Face Generation GAN inversion

Interpreting the Latent Space of GANs for Semantic Face Editing

genforce/interfacegan CVPR 2020

In this work, we propose a novel framework, called InterFaceGAN, for semantic face editing by interpreting the latent semantics learned by GANs.

Face Generation GAN inversion +1

Towards Real-World Blind Face Restoration with Generative Facial Prior


Blind face restoration usually relies on facial priors, such as facial geometry prior or reference prior, to restore realistic and faithful details.

Blind Face Restoration GAN inversion

In-Domain GAN Inversion for Real Image Editing

genforce/idinvert ECCV 2020

A common practice of feeding a real image to a trained GAN generator is to invert it back to a latent code.

GAN inversion Image Interpolation +1

GAN Inversion: A Survey

weihaox/awesome-gan-inversion 14 Jan 2021

GAN inversion aims to invert a given image back into the latent space of a pretrained GAN model, for the image to be faithfully reconstructed from the inverted code by the generator.

GAN inversion Image Manipulation +1

Pivotal Tuning for Latent-based Editing of Real Images

danielroich/PTI 10 Jun 2021

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.

GAN inversion Image Manipulation

LOHO: Latent Optimization of Hairstyles via Orthogonalization

dukebw/LOHO CVPR 2021

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.

GAN inversion SSIM

The Geometry of Deep Generative Image Models and its Applications

Animadversio/GAN-Geometry 15 Jan 2021

Our results illustrate that defining the geometry of the GAN image manifold can serve as a general framework for understanding GANs.

GAN inversion