mlsanityData to 7 Oct 2026

Mask-Guided Portrait Editing with Conditional GANs

arXiv 1905.10346 ↗First posted 24 May 2019cs.CVcited by 61

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Abstract (arXiv)

Portrait editing is a popular subject in photo manipulation. The Generative Adversarial Network (GAN) advances the generating of realistic faces and allows more face editing. In this paper, we argue about three issues in existing techniques: diversity, quality, and controllability for portrait synthesis and editing. To address these issues, we propose a novel end-to-end learning framework that leverages conditional GANs guided by provided face masks for generating faces. The framework learns feature embeddings for every face component (e.g., mouth, hair, eye), separately, contributing to better correspondences for image translation, and local face editing. With the mask, our network is available to many applications, like face synthesis driven by mask, face Swap+ (including hair in swapping), and local manipulation. It can also boost the performance of face parsing a bit as an option of data augmentation.

Key facts. Cited by 61 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 May 2019.

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Citing papers per year: 2021: 19; 2022: 20; 2023: 9; 2024: 7; 2025: 4; 2026: 2.

61 papers.

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  1. 2021Vector Quantized Diffusion Model for Text-to-Image Synthesiscited by 773
  2. 2022Paint by Example: Exemplar-based Image Editing with Diffusion Modelscited by 489
  3. 2022Fine-Grained Face Swapping via Regional GAN Inversioncited by 67
  4. 2022Denoised MDPs: Learning World Models Better Than the World Itselfcited by 66
  5. 2022Improved Vector Quantized Diffusion Modelscited by 62
  6. 2021Countering Malicious DeepFakes: Survey, Battleground, and Horizoncited by 56
  7. 2021Using latent space regression to analyze and leverage compositionality in GANscited by 55
  8. 2021Diverse Semantic Image Synthesis via Probability Distribution Modelingcited by 49
  9. 2021High-Fidelity and Arbitrary Face Editingcited by 35
  10. 2021ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignmentcited by 33
  11. 2022Cycle-Consistent Counterfactuals by Latent Transformationscited by 33
  12. 2021DeFLOCNet: Deep Image Editing via Flexible Low-level Controlscited by 26
38 more
  1. 2021Collaging Class-specific GANs for Semantic Image Synthesiscited by 25
  2. 2021Bi-level Feature Alignment for Versatile Image Translation and Manipulationcited by 20
  3. 2023PFB-Diff: Progressive Feature Blending Diffusion for Text-driven Image Editingcited by 20
  4. 2024Thinking Outside the BBox: Unconstrained Generative Object Compositingcited by 19
  5. 2022DrawingInStyles: Portrait Image Generation and Editing with Spatially Conditioned StyleGANcited by 18
  6. 2022GAN-based Facial Attribute Manipulationcited by 16
  7. 2021Retrieve in Style: Unsupervised Facial Feature Transfer and Retrievalcited by 15
  8. 2023Eliminating Contextual Prior Bias for Semantic Image Editing via Dual-Cycle Diffusioncited by 14
  9. 2021Disentangled Face Attribute Editing via Instance-Aware Latent Space Searchcited by 12
  10. 2026How Well Do Models Follow Visual Instructions? VIBE: A Systematic Benchmark for Visual Instruction-Driven Image Editingcited by 12
  11. 2023SIEDOB: Semantic Image Editing by Disentangling Object and Backgroundcited by 11
  12. 2022SCAM! Transferring humans between images with Semantic Cross Attention Modulationcited by 10
  13. 2022Local and Global GANs with Semantic-Aware Upsampling for Image Generationcited by 8
  14. 2022IA-FaceS: A Bidirectional Method for Semantic Face Editingcited by 8
  15. 2023Edge Guided GANs with Multi-Scale Contrastive Learning for Semantic Image Synthesiscited by 8
  16. 2023E4S: Fine-grained Face Swapping via Editing With Regional GAN Inversioncited by 8
  17. 2023ViscoNet: Bridging and Harmonizing Visual and Textual Conditioning for ControlNetcited by 7
  18. 2024Makeup-Guided Facial Privacy Protection via Untrained Neural Network Priorscited by 7
  19. 2021Training Generative Adversarial Networks in One Stagecited by 6
  20. 2022RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-oncited by 6
  21. 2022MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-Robust Classifiercited by 6
  22. 2023LC-NeRF: Local Controllable Face Generation in Neural Randiance Fieldcited by 6
  23. 2021FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Facescited by 5
  24. 2022Quality Metric Guided Portrait Line Drawing Generation from Unpaired Training Datacited by 5
  25. 2023Example Forgetting: A Novel Approach to Explain and Interpret Deep Neural Networks in Seismic Interpretationcited by 4
  26. 2021Heredity-aware Child Face Image Generation with Latent Space Disentanglementcited by 3
  27. 2021SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistencycited by 3
  28. 2022A comprehensive survey on semantic facial attribute editing using generative adversarial networkscited by 3
  29. 2022ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutionscited by 3
  30. 2024GANs Conditioning Methods: A Surveycited by 3
  31. 2025Domain Generalizable Portrait Style Transfercited by 3
  32. 2021SketchHairSalon: Deep Sketch-based Hair Image Synthesiscited by 2
  33. 2021MixSyn: Learning Composition and Style for Multi-Source Image Synthesiscited by 2
  34. 2022Interactive Image Inpainting Using Semantic Guidancecited by 2
  35. 2022Dual-Domain Image Synthesis using Segmentation-Guided GANcited by 2
  36. 2022Language Does More Than Describe: On The Lack Of Figurative Speech in Text-To-Image Modelscited by 2
  37. 2023Completing Visual Objects via Bridging Generation and Segmentationcited by 2
  38. 2024DFREC: DeepFake Identity Recovery Based on Identity-aware Masked Autoencodercited by 2

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