StyleGan papers

이승화·2022년 5월 3일
0

Model

Gan : Generative Adversarial Networks [paper]

DCGan : Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks [paper]

PGGan : Progressive Growing of GANs for Improved Quality, Stability, and Variation [paper]

StyleGan : A Style-Based Generator Architecture for Generative Adversarial Networks [paper]

StyleGan2 : Analyzing and Improving the Image Quality of StyleGAN [paper]

StyleGan-ada : Training Generative Adversarial Networks with Limited Data [paper]

StyleGan3 : Alias-Free Generative Adversarial Networks [paper]

Inversion

Image2StyleGan : Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?[paper]

Image2StyleGan++ :Image2StyleGAN++: How to Edit the Embedded Images?[paper]

IDInvert : In-Domain GAN Inversion for Real Image Editing [paper]

pSp : Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation [paper]

StyleSpace : StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation [paper]

e4e : Designing an Encoder for StyleGAN Image Manipulation [paper]

ReStyle : A Residual-Based StyleGAN Encoder via Iterative Refinement [paper]

PTI : Pivotal Tuning for Latent-based Editing of Real Images [paper]

HyperStyle : StyleGAN Inversion with HyperNetworks for Real Image Editing [paper]

Stylegan3-inversion : Third Time's the Charm? Image and Video Editing with StyleGAN3 [paper]

Manipulation

  1. Supervised Linear approach

InterfaceGan : Interpreting the Disentangled Face Representation Learned by GANs [paper]

  • find hyperplane of binary-attribute

HiGan : Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis[paper]

  1. Unsupervised Linear approach

Unsupervised discovery of interpretable directions in the gan latent space [paper]

GanSpace : Discovering Interpretable GAN Controls [paper]

SeFa : Closed-Form Factorization of Latent Semantics in GANs [paper]

  1. Non-Linear approach

StyleFlow : Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows [paper]

DyStyle : Dynamic Neural Network for Multi-Attribute-Conditioned Style Editing [paper]

  1. other methods

StyleRig : Rigging StyleGAN for 3D Control over Portrait Images [paper]

StyleganRender : Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering [paper]

FreeStyleGan : Free-view Editable Portrait Rendering with the Camera Manifold [paper]

StyleClip : Text-Driven Manipulation of StyleGAN Imagery [paper]

TargetClip : Image-Based CLIP-Guided Essence Transfer [paper]

Clip2Stylegan : Unsupervised Extraction of StyleGAN Edit Directions [paper]

  1. finer control

Pose with Style : Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN [paper]

StyleMapGan : Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing [paper]

fine-tunning generator

Stylegan-NADA

AgileGan

Mind the Gap

BlendGan

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