mlsanityData to 7 Oct 2026

Pose and Facial Expression Transfer by using StyleGAN

arXiv 2504.13021 ↗First posted 17 Apr 2025cs.CV cs.AIcited by 0

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Abstract (arXiv)

We propose a method to transfer pose and expression between face images. Given a source and target face portrait, the model produces an output image in which the pose and expression of the source face image are transferred onto the target identity. The architecture consists of two encoders and a mapping network that projects the two inputs into the latent space of StyleGAN2, which finally generates the output. The training is self-supervised from video sequences of many individuals. Manual labeling is not required. Our model enables the synthesis of random identities with controllable pose and expression. Close-to-real-time performance is achieved.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 28 of its 37 references that are in the map. First posted on arXiv 17 Apr 2025.

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28 of 37 references.

References · 28

  1. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
  2. 2022Generative Adversarial Networkscited by 5,603
  3. 2019Analyzing and Improving the Image Quality of StyleGANcited by 3,580
  4. 2015Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networkscited by 2,048
  5. 2018CosFace: Large Margin Cosine Loss for Deep Face Recognitioncited by 968
  6. 2018VoxCeleb2: Deep Speaker Recognitioncited by 862
  7. 2020Encoding in Style: a StyleGAN Encoder for Image-to-Image Translationcited by 727
  8. 2019Interpreting the Latent Space of GANs for Semantic Face Editingcited by 691
  9. 2019Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?cited by 675
  10. 2020Face2Face: Real-time Face Capture and Reenactment of RGB Videoscited by 631
  11. 2020GANSpace: Discovering Interpretable GAN Controlscited by 612
  12. 2021Designing an Encoder for StyleGAN Image Manipulationcited by 542
16 more
  1. 2020One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencingcited by 438
  2. 2021Pivotal Tuning for Latent-based Editing of Real Imagescited by 427
  3. 2019Image2StyleGAN++: How to Edit the Embedded Images?cited by 356
  4. 2016Generative Visual Manipulation on the Natural Image Manifoldcited by 348
  5. 2020StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flowscited by 348
  6. 2019Few-Shot Adversarial Learning of Realistic Neural Talking Head Modelscited by 284
  7. 2021ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinementcited by 248
  8. 2018X2Face: A network for controlling face generation by using images, audio, and pose codescited by 189
  9. 2017Fine-Grained Head Pose Estimation Without Keypointscited by 163
  10. 2016Inverting The Generator Of A Generative Adversarial Networkcited by 140
  11. 2022MegaPortraits: One-shot Megapixel Neural Head Avatarscited by 131
  12. 2020Improved StyleGAN Embedding: Where are the Good Latents?cited by 88
  13. 2022Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognitioncited by 81
  14. 2022Stitch it in Time: GAN-Based Facial Editing of Real Videoscited by 68
  15. 2021Ranger21: a synergistic deep learning optimizercited by 21
  16. 2019Unconstrained Facial Expression Transfer using Style-based Generatorcited by 7

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