mlsanityData to 14 Oct 2026

GAN-based Facial Attribute Manipulation

arXiv 2210.12683 ↗First posted 23 Oct 2022cs.CVcited by 16

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Abstract (arXiv)

Facial Attribute Manipulation (FAM) aims to aesthetically modify a given face image to render desired attributes, which has received significant attention due to its broad practical applications ranging from digital entertainment to biometric forensics. In the last decade, with the remarkable success of Generative Adversarial Networks (GANs) in synthesizing realistic images, numerous GAN-based models have been proposed to solve FAM with various problem formulation approaches and guiding information representations. This paper presents a comprehensive survey of GAN-based FAM methods with a focus on summarizing their principal motivations and technical details. The main contents of this survey include: (i) an introduction to the research background and basic concepts related to FAM, (ii) a systematic review of GAN-based FAM methods in three main categories, and (iii) an in-depth discussion of important properties of FAM methods, open issues, and future research directions. This survey not only builds a good starting point for researchers new to this field but also serves as a reference for the vision community.

Key facts. Cited by 16 papers in the map (data through 14 Oct 2026). Builds on 158 of its 211 references that are in the map. First posted on arXiv 23 Oct 2022.

Builds on

158 of 211 references.

References · 158

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38 more
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50 most cited of 158 All 158 (JSON)

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 2; 2024: 6; 2025: 4; 2026: 4.

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  1. 2024Deepfake Generation and Detection: A Benchmark and Surveycited by 67
  2. 2024GoodDrag: Towards Good Practices for Drag Editing with Diffusion Modelscited by 34
  3. 2024A Review of Human Emotion Synthesis Based on Generative Technologycited by 7
  4. 2025Contrastive Decoupled Representation Learning and Regularization for Speech-Preserving Facial Expression Manipulationcited by 7
  5. 2024ID-Guard: A Universal Framework for Combating Facial Manipulation via Breaking Identificationcited by 4
  6. 2024Diverse and Lifespan Facial Age Transformation Synthesis with Identity Variation Rationality Metriccited by 3
  7. 2026Learning Spatial-Temporal Coherent Correlations for Speech-Preserving Facial Expression Manipulationcited by 3
  8. 2023Identity-preserving Editing of Multiple Facial Attributes by Learning Global Edit Directions and Local Adjustmentscited by 2
  9. 2024Manipulating Vehicle 3D Shapes through Latent Space Editingcited by 2
  10. 2025Texture-Aware StarGAN for CT data harmonisationcited by 1
  11. 2025DreamMakeup: Face Makeup Customization using Latent Diffusion Modelscited by 1
  12. 2026Adv-TGD: Adversarial Text-Guided Diffusion for Face Recognition Impersonation Attackscited by 1
4 more
  1. 2023FISTNet: FusIon of STyle-path generative Networks for Facial Style Transfercited by 0
  2. 2025Regression Guided Strategy to Automated Facial Beauty Optimization through Image Synthesiscited by 0
  3. 2026DiffAttack: Evasion Attacks Against Face Recognition via Latent Diffusion Modelscited by 0
  4. 2026Long-Tail Adaptive Flow Matching with Explicit Conditional Consistency Guidance for Precise Multimodal Face Synthesiscited by 0