mlsanityData to 7 Oct 2026

Invertible Conditional GANs for image editing

arXiv 1611.06355 ↗First posted 19 Nov 2016cs.CV cs.AIcited by 118

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Abstract (arXiv)

Generative Adversarial Networks (GANs) have recently demonstrated to successfully approximate complex data distributions. A relevant extension of this model is conditional GANs (cGANs), where the introduction of external information allows to determine specific representations of the generated images. In this work, we evaluate encoders to inverse the mapping of a cGAN, i.e., mapping a real image into a latent space and a conditional representation. This allows, for example, to reconstruct and modify real images of faces conditioning on arbitrary attributes. Additionally, we evaluate the design of cGANs. The combination of an encoder with a cGAN, which we call Invertible cGAN (IcGAN), enables to re-generate real images with deterministic complex modifications.

Key facts. Cited by 118 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Nov 2016.

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Citing papers per year: 2021: 42; 2022: 37; 2023: 23; 2024: 10; 2025: 4; 2026: 2.

118 papers.

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  1. 2021Designing an Encoder for StyleGAN Image Manipulationcited by 542
  2. 2022StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasetscited by 489
  3. 2021Pivotal Tuning for Latent-based Editing of Real Imagescited by 427
  4. 2021GAN Inversion: A Surveycited by 366
  5. 2021HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editingcited by 208
  6. 2021EditGAN: High-Precision Semantic Image Editingcited by 156
  7. 2021Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalizationcited by 141
  8. 2024Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyondcited by 111
  9. 2021One Shot Face Swapping on Megapixelscited by 105
  10. 2021Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editingcited by 91
  11. 2021Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forwardcited by 82
  12. 2022High-fidelity 3D GAN Inversion by Pseudo-multi-view Optimizationcited by 65
38 more
  1. 2021Countering Malicious DeepFakes: Survey, Battleground, and Horizoncited by 56
  2. 2021In&Out : Diverse Image Outpainting via GAN Inversioncited by 55
  3. 2021CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakescited by 54
  4. 2022Third Time's the Charm? Image and Video Editing with StyleGAN3cited by 54
  5. 2022Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Modelscited by 53
  6. 2022AniFaceGAN: Animatable 3D-Aware Face Image Generation for Video Avatarscited by 46
  7. 2022Deep Equilibrium Approaches to Diffusion Modelscited by 42
  8. 2023TriPlaneNet: An Encoder for EG3D Inversioncited by 41
  9. 2021Image-Based CLIP-Guided Essence Transfercited by 39
  10. 2022Spatially-Adaptive Multilayer Selection for GAN Inversion and Editingcited by 39
  11. 2022RepMix: Representation Mixing for Robust Attribution of Synthesized Imagescited by 39
  12. 2023Evading DeepFake Detectors via Adversarial Statistical Consistencycited by 37
  13. 2023DreamEdit: Subject-driven Image Editingcited by 37
  14. 2022State-of-the-Art in the Architecture, Methods and Applications of StyleGANcited by 34
  15. 2021StyleFusion: A Generative Model for Disentangling Spatial Segmentscited by 28
  16. 2024SwiftEdit: Lightning Fast Text-Guided Image Editing via One-Step Diffusioncited by 28
  17. 2021Cycle-Consistent Inverse GAN for Text-to-Image Synthesiscited by 27
  18. 2021DeFLOCNet: Deep Image Editing via Flexible Low-level Controlscited by 26
  19. 2021From Continuity to Editability: Inverting GANs with Consecutive Imagescited by 25
  20. 2022High-fidelity GAN Inversion with Padding Spacecited by 23
  21. 2023Attributing Image Generative Models using Latent Fingerprintscited by 20
  22. 2022Aesthetic Text Logo Synthesis via Content-aware Layout Inferringcited by 19
  23. 2022CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for a Disentangled, Interpretable, and Controllable Text-Guided Face Manipulationcited by 19
  24. 2022Generative Range Imaging for Learning Scene Priors of 3D LiDAR Datacited by 18
  25. 2022Delving StyleGAN Inversion for Image Editing: A Foundation Latent Space Viewpointcited by 18
  26. 2022GAN-based Facial Attribute Manipulationcited by 16
  27. 2022Landscape Learning for Neural Network Inversioncited by 15
  28. 2023MMNet: Multi-Collaboration and Multi-Supervision Network for Sequential Deepfake Detectioncited by 15
  29. 2021A review of Generative Adversarial Networks (GANs) and its applications in a wide variety of disciplines -- From Medical to Remote Sensingcited by 13
  30. 2022Comparing the latent space of generative modelscited by 11
  31. 2024Inversion-based Latent Bayesian Optimizationcited by 11
  32. 2023Generative Adversarial Networks Unlearningcited by 10
  33. 2021MOGAN: Morphologic-structure-aware Generative Learning from a Single Imagecited by 9
  34. 2023Make It So: Steering StyleGAN for Any Image Inversion and Editingcited by 9
  35. 2023Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulationcited by 9
  36. 2023TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentationcited by 9
  37. 2023Face Identity-Aware Disentanglement in StyleGANcited by 8
  38. 2021TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasetscited by 7

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