FaceTuneGAN: Face Autoencoder for Convolutional Expression Transfer Using Neural Generative Adversarial Networks
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Abstract (arXiv)
In this paper, we present FaceTuneGAN, a new 3D face model representation decomposing and encoding separately facial identity and facial expression. We propose a first adaptation of image-to-image translation networks, that have successfully been used in the 2D domain, to 3D face geometry. Leveraging recently released large face scan databases, a neural network has been trained to decouple factors of variations with a better knowledge of the face, enabling facial expressions transfer and neutralization of expressive faces. Specifically, we design an adversarial architecture adapting the base architecture of FUNIT and using SpiralNet++ for our convolutional and sampling operations. Using two publicly available datasets (FaceScape and CoMA), FaceTuneGAN has a better identity decomposition and face neutralization than state-of-the-art techniques. It also outperforms classical deformation transfer approach by predicting blendshapes closer to ground-truth data and with less of undesired artifacts due to too different facial morphologies between source and target.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 38 of its 70 references that are in the map. First posted on arXiv 1 Dec 2021.
Builds on
38 of 70 references.
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Built on by
Citing papers per year: 2022: 1; 2023: 3; 2024: 2; 2025: 3.
9 papers.
- 2023Towards Realistic Generative 3D Face Modelscited by 20
- 2022Controllable 3D Generative Adversarial Face Model via Disentangling Shape and Appearancecited by 8
- 20233D Generative Model Latent Disentanglement via Local Eigenprojectioncited by 6
- 20243D Face Modeling via Weakly-supervised Disentanglement Network joint Identity-consistency Priorcited by 1
- 2025GTAvatar: Bridging Gaussian Splatting and Texture Mapping for Relightable and Editable Gaussian Avatarscited by 1
- 2023FISTNet: FusIon of STyle-path generative Networks for Facial Style Transfercited by 0
- 2024DrFER: Learning Disentangled Representations for 3D Facial Expression Recognitioncited by 0
- 2025Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshescited by 0
- 2025Multimodal Conditional MeshGAN for Personalized Aneurysm Growth Predictioncited by 0
- 2025GTAvatar: Bridging Gaussian Splatting and Texture Mapping for Relightable and Editable Gaussian Avatars9 Dec 2025
- 2025Multimodal Conditional MeshGAN for Personalized Aneurysm Growth Prediction27 Aug 2025
- 2025Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes7 Jul 2025
- 20243D Face Modeling via Weakly-supervised Disentanglement Network joint Identity-consistency Prior25 Apr 2024
- 2024DrFER: Learning Disentangled Representations for 3D Facial Expression Recognition13 Mar 2024
- 2023FISTNet: FusIon of STyle-path generative Networks for Facial Style Transfer18 Jul 2023
- 2023Towards Realistic Generative 3D Face Models24 Apr 2023
- 20233D Generative Model Latent Disentanglement via Local Eigenprojection24 Feb 2023
- 2022Controllable 3D Generative Adversarial Face Model via Disentangling Shape and Appearance30 Aug 2022