# GuidedStyle: Attribute Knowledge Guided Style Manipulation for Semantic Face Editing

arXiv: https://arxiv.org/abs/2012.11856 · HTML: https://mlsanity.com/paper/2012.11856/

## Key facts

- Cited by 37 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Dec 2020.

## Built on by (most cited first, 30 of 37)

- [Paint by Example: Exemplar-based Image Editing with Diffusion Models](https://mlsanity.com/paper/2211.13227/) (2022)
- [EditGAN: High-Precision Semantic Image Editing](https://mlsanity.com/paper/2111.03186/) (2021)
- [Deepfake Generation and Detection: A Benchmark and Survey](https://mlsanity.com/paper/2403.17881/) (2024)
- [Third Time's the Charm? Image and Video Editing with StyleGAN3](https://mlsanity.com/paper/2201.13433/) (2022)
- [State-of-the-Art in the Architecture, Methods and Applications of StyleGAN](https://mlsanity.com/paper/2202.14020/) (2022)
- [StyleFusion: A Generative Model for Disentangling Spatial Segments](https://mlsanity.com/paper/2107.07437/) (2021)
- [One Model to Edit Them All: Free-Form Text-Driven Image Manipulation with Semantic Modulations](https://mlsanity.com/paper/2210.07883/) (2022)
- [CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for a Disentangled, Interpretable, and Controllable Text-Guided Face Manipulation](https://mlsanity.com/paper/2210.03919/) (2022)
- [VecGAN: Image-to-Image Translation with Interpretable Latent Directions](https://mlsanity.com/paper/2207.03411/) (2022)
- [Feature-Style Encoder for Style-Based GAN Inversion](https://mlsanity.com/paper/2202.02183/) (2022)
- [FEAT: Face Editing with Attention](https://mlsanity.com/paper/2202.02713/) (2022)
- [Attribute-specific Control Units in StyleGAN for Fine-grained Image Manipulation](https://mlsanity.com/paper/2111.13010/) (2021)
- [Image-to-Image Translation with Disentangled Latent Vectors for Face Editing](https://mlsanity.com/paper/2301.04628/) (2023)
- [Context-Consistent Semantic Image Editing with Style-Preserved Modulation](https://mlsanity.com/paper/2207.06252/) (2022)
- [Conditioning Diffusion Models via Attributes and Semantic Masks for Face Generation](https://mlsanity.com/paper/2306.00914/) (2023)
- [Reference-Based 3D-Aware Image Editing with Triplanes](https://mlsanity.com/paper/2404.03632/) (2024)
- [DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editing](https://mlsanity.com/paper/2109.10737/) (2021)
- [Transforming the Latent Space of StyleGAN for Real Face Editing](https://mlsanity.com/paper/2105.14230/) (2021)
- [Normal-guided Garment UV Prediction for Human Re-texturing](https://mlsanity.com/paper/2303.06504/) (2023)
- [Multi-Attribute Balanced Sampling for Disentangled GAN Controls](https://mlsanity.com/paper/2111.00909/) (2021)
- [Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps](https://mlsanity.com/paper/2206.02903/) (2022)
- [Expanding the Latent Space of StyleGAN for Real Face Editing](https://mlsanity.com/paper/2204.12530/) (2022)
- [Identity-preserving Editing of Multiple Facial Attributes by Learning Global Edit Directions and Local Adjustments](https://mlsanity.com/paper/2309.14267/) (2023)
- [S2-Flow: Joint Semantic and Style Editing of Facial Images](https://mlsanity.com/paper/2211.12209/) (2022)
- [Wasserstein Loss for Semantic Editing in the Latent Space of GANs](https://mlsanity.com/paper/2304.10508/) (2023)
- [LEAT: Towards Robust Deepfake Disruption in Real-World Scenarios via Latent Ensemble Attack](https://mlsanity.com/paper/2307.01520/) (2023)
- [Grasping the Arrow of Time from the Singularity: Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN](https://mlsanity.com/paper/2204.12696/) (2022)
- [StyleRes: Transforming the Residuals for Real Image Editing with StyleGAN](https://mlsanity.com/paper/2212.14359/) (2022)
- [Attribute-Specific Manipulation Based on Layer-Wise Channels](https://mlsanity.com/paper/2302.09260/) (2023)
- [Rethinking the editing of generative adversarial networks: a method to estimate editing vectors based on dimension reduction](https://mlsanity.com/paper/2305.09454/) (2023)

## Abstract (arXiv)

Although significant progress has been made in synthesizing high-quality and visually realistic face images by unconditional Generative Adversarial Networks (GANs), there still lacks of control over the generation process in order to achieve semantic face editing. In addition, it remains very challenging to maintain other face information untouched while editing the target attributes. In this paper, we propose a novel learning framework, called GuidedStyle, to achieve semantic face editing on StyleGAN by guiding the image generation process with a knowledge network. Furthermore, we allow an attention mechanism in StyleGAN generator to adaptively select a single layer for style manipulation. As a result, our method is able to perform disentangled and controllable edits along various attributes, including smiling, eyeglasses, gender, mustache and hair color. Both qualitative and quantitative results demonstrate the superiority of our method over other competing methods for semantic face editing. Moreover, we show that our model can be also applied to different types of real and artistic face editing, demonstrating strong generalization ability.