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Facke: a Survey on Generative Models for Face Swapping

arXiv 2206.11203 ↗First posted 22 Jun 2022cs.CV cs.AIcited by 0

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Abstract (arXiv)

In this work, we investigate into the performance of mainstream neural generative models on the very task of swapping faces. We have experimented on CVAE, CGAN, CVAE-GAN, and conditioned diffusion models. Existing finely trained models have already managed to produce fake faces (Facke) indistinguishable to the naked eye as well as achieve high objective metrics. We perform a comparison among them and analyze their pros and cons. Furthermore, we proposed some promising tricks though they do not apply to this task.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 15 of its 18 references that are in the map. First posted on arXiv 22 Jun 2022.

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15 of 18 references.

References · 15

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  3. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  4. 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,058
  5. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 6,013
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  10. 2014Conditional Generative Adversarial Netscited by 2,162
  11. 2017Arbitrary Style Transfer in Real-time with Adaptive Instance Normalizationcited by 2,010
  12. 2017High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANscited by 1,179
3 more
  1. 2021ILVR: Conditioning Method for Denoising Diffusion Probabilistic Modelscited by 635
  2. 2021SimSwap: An Efficient Framework For High Fidelity Face Swappingcited by 243
  3. 2018ArcFace: Additive Angular Margin Loss for Deep Face Recognitioncited by 56

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  1. 2026Towards High Fidelity Face Swapping: A Comprehensive Survey and New Benchmark
  2. 2022DiffFace: Diffusion-based Face Swapping with Facial Guidance
  3. 2024Realistic and Efficient Face Swapping: A Unified Approach with Diffusion Models
  4. 2024HiFiVFS: High Fidelity Video Face Swapping
  5. 2024Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control
  6. 2025High-Fidelity Diffusion Face Swapping with ID-Constrained Facial Conditioning
  7. 2026VFace: A Training-Free Approach for Diffusion-Based Video Face Swapping
  8. 2025DynamicFace: High-Quality and Consistent Face Swapping for Image and Video using Composable 3D Facial Priors