mlsanityData to 7 Oct 2026

MeshGAN: Non-linear 3D Morphable Models of Faces

arXiv 1903.10384 ↗First posted 25 Mar 2019cs.CVcited by 39

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Abstract (arXiv)

Generative Adversarial Networks (GANs) are currently the method of choice for generating visual data. Certain GAN architectures and training methods have demonstrated exceptional performance in generating realistic synthetic images (in particular, of human faces). However, for 3D object, GANs still fall short of the success they have had with images. One of the reasons is due to the fact that so far GANs have been applied as 3D convolutional architectures to discrete volumetric representations of 3D objects. In this paper, we propose the first intrinsic GANs architecture operating directly on 3D meshes (named as MeshGAN). Both quantitative and qualitative results are provided to show that MeshGAN can be used to generate high-fidelity 3D face with rich identities and expressions.

Key facts. Cited by 39 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Mar 2019.

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Citing papers per year: 2021: 10; 2022: 9; 2023: 7; 2024: 8; 2025: 5.

39 papers.

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  1. 2021Pixel Codec Avatarscited by 125
  2. 2021Deep Generative Models in Engineering Design: A Reviewcited by 103
  3. 2021MoFaNeRF: Morphable Facial Neural Radiance Fieldcited by 94
  4. 2022ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representationscited by 64
  5. 2024Advances in 3D Generation: A Surveycited by 62
  6. 2021Shape registration in the time of transformerscited by 51
  7. 2022Visual Speech-Aware Perceptual 3D Facial Expression Reconstruction from Videoscited by 50
  8. 2023HAvatar: High-fidelity Head Avatar via Facial Model Conditioned Neural Radiance Fieldcited by 37
  9. 2021Normalized Avatar Synthesis Using StyleGAN and Perceptual Refinementcited by 36
  10. 2021FaceScape: 3D Facial Dataset and Benchmark for Single-View 3D Face Reconstructioncited by 34
  11. 2023AI-Generated Content (AIGC) for Various Data Modalities: A Surveycited by 25
  12. 20213D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Facescited by 15
27 more
  1. 2021DeepMesh: Differentiable Iso-Surface Extractioncited by 14
  2. 2022Deep Structural Causal Shape Modelscited by 11
  3. 2022Deep Deformable 3D Caricatures with Learned Shape Controlcited by 10
  4. 2023ImFace++: A Sophisticated Nonlinear 3D Morphable Face Model with Implicit Neural Representationscited by 10
  5. 2024Head360: Learning a Parametric 3D Full-Head for Free-View Synthesis in 360degcited by 8
  6. 20233D Generative Model Latent Disentanglement via Local Eigenprojectioncited by 6
  7. 2025OT-Talk: Animating 3D Talking Head with Optimal Transportationcited by 6
  8. 20213D human tongue reconstruction from single "in-the-wild" imagescited by 5
  9. 2022Multiview Regenerative Morphing with Dual Flowscited by 5
  10. 2024Towards Native Generative Model for 3D Head Avatarcited by 5
  11. 2024DAGSM: Disentangled Avatar Generation with GS-enhanced Meshcited by 5
  12. 2025TeRA: Rethinking Text-guided Realistic 3D Avatar Generationcited by 5
  13. 2022Leveraging Deepfakes to Close the Domain Gap between Real and Synthetic Images in Facial Capture Pipelinescited by 4
  14. 2022Structure-aware Editable Morphable Model for 3D Facial Detail Animation and Manipulationcited by 4
  15. 20223D Dense Face Alignment with Fused Features by Aggregating CNNs and GCNscited by 2
  16. 2023Unpaired Multi-domain Attribute Translation of 3D Facial Shapes with a Square and Symmetric Geometric Mapcited by 2
  17. 2024DiffSurf: A Transformer-based Diffusion Model for Generating and Reconstructing 3D Surfaces in Posecited by 2
  18. 2021Disentangled Face Identity Representations for joint 3D Face Recognition and Expression Neutralisationcited by 1
  19. 20233D GANs and Latent Space: A comprehensive surveycited by 1
  20. 2024Multi-view X-ray Image Synthesis with Multiple Domain Disentanglement from CT Scanscited by 1
  21. 2024FaceCom: Towards High-fidelity 3D Facial Shape Completion via Optimization and Inpainting Guidancecited by 1
  22. 2025A Mesh Is Worth 512 Numbers: Spectral-domain Diffusion Modeling for High-dimension Shape Generationcited by 1
  23. 2025MeshMamba: State Space Models for Articulated 3D Mesh Generation and Reconstructioncited by 1
  24. 2022LiP-Flow: Learning Inference-time Priors for Codec Avatars via Normalizing Flows in Latent Spacecited by 0
  25. 2023Latent Disentanglement in Mesh Variational Autoencoders Improves the Diagnosis of Craniofacial Syndromes and Aids Surgical Planningcited by 0
  26. 2024Deep Spectral Meshes: Multi-Frequency Facial Mesh Processing with Graph Neural Networkscited by 0
  27. 20253D Shape Generation: A Surveycited by 0