Face Generation and Editing with StyleGAN: A Survey
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Abstract (arXiv)
Our goal with this survey is to provide an overview of the state of the art deep learning methods for face generation and editing using StyleGAN. The survey covers the evolution of StyleGAN, from PGGAN to StyleGAN3, and explores relevant topics such as suitable metrics for training, different latent representations, GAN inversion to latent spaces of StyleGAN, face image editing, cross-domain face stylization, face restoration, and even Deepfake applications. We aim to provide an entry point into the field for readers that have basic knowledge about the field of deep learning and are looking for an accessible introduction and overview.
Key facts. Cited by 27 papers in the map (data through 7 Oct 2026). Builds on 78 of its 148 references that are in the map. First posted on arXiv 18 Dec 2022.
Builds on
78 of 148 references.
References · 78
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- 2019Analyzing and Improving the Image Quality of StyleGANcited by 3,580
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- 2017Progressive Growing of GANs for Improved Quality, Stability, and Variationcited by 2,967
- 2016Perceptual Losses for Real-Time Style Transfer and Super-Resolutioncited by 2,678
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- 2021Efficient Geometry-aware 3D Generative Adversarial Networkscited by 1,204
- 2020Training Generative Adversarial Networks with Limited Datacited by 1,184
- 2021Alias-Free Generative Adversarial Networkscited by 1,181
- 2021StyleCLIP: Text-Driven Manipulation of StyleGAN Imagerycited by 990
- 2020Encoding in Style: a StyleGAN Encoder for Image-to-Image Translationcited by 727
- 2019Interpreting the Latent Space of GANs for Semantic Face Editingcited by 691
- 2020Face2Face: Real-time Face Capture and Reenactment of RGB Videoscited by 631
- 2020GANSpace: Discovering Interpretable GAN Controlscited by 612
- 2017The Perception-Distortion Tradeoffcited by 582
- 2021Designing an Encoder for StyleGAN Image Manipulationcited by 542
- 2017MoCoGAN: Decomposing Motion and Content for Video Generationcited by 523
- 2022StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasetscited by 489
- 2021StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesiscited by 477
- 2022Blended Latent Diffusioncited by 430
- 2021Pivotal Tuning for Latent-based Editing of Real Imagescited by 427
- 2020In-Domain GAN Inversion for Real Image Editingcited by 420
- 2018Video-to-Video Synthesiscited by 388
- 2019Image2StyleGAN++: How to Edit the Embedded Images?cited by 356
- 2016Adversarial Feature Learningcited by 350
- 2021Towards Real-World Blind Face Restoration with Generative Facial Priorcited by 347
- 2020StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generationcited by 331
- 2021StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generationcited by 289
- 2020StyleRig: Rigging StyleGAN for 3D Control over Portrait Imagescited by 267
- 2021ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinementcited by 248
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- 2021HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editingcited by 208
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50 most cited of 78 All 78 (JSON)
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Citing papers per year: 2022: 1; 2023: 8; 2024: 5; 2025: 8; 2026: 5.
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