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3D Dense Face Alignment via Graph Convolution Networks

arXiv 1904.05562 ↗First posted 11 Apr 2019cs.CVcited by 14

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Abstract (arXiv)

Recently, 3D face reconstruction and face alignment tasks are gradually combined into one task: 3D dense face alignment. Its goal is to reconstruct the 3D geometric structure of face with pose information. In this paper, we propose a graph convolution network to regress 3D face coordinates. Our method directly performs feature learning on the 3D face mesh, where the geometric structure and details are well preserved. Extensive experiments show that our approach gains superior performance over state-of-the-art methods on several challenging datasets.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Apr 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 5; 2022: 3; 2023: 2; 2024: 2; 2025: 0; 2026: 2.

14 papers.

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  1. 2022EMOCA: Emotion Driven Monocular Face Capture and Animationcited by 254
  2. 2022Towards Metrical Reconstruction of Human Facescited by 165
  3. 2021H3D-Net: Few-Shot High-Fidelity 3D Head Reconstructioncited by 81
  4. 2024SMIRK: 3D Facial Expressions through Analysis-by-Neural-Synthesiscited by 81
  5. 2023Instant Multi-View Head Capture through Learnable Registrationcited by 34
  6. 2022FNeVR: Neural Volume Rendering for Face Animationcited by 22
  7. 2021Self-Supervised 3D Face Reconstruction via Conditional Estimationcited by 17
  8. 2021Learning Feature Aggregation for Deep 3D Morphable Modelscited by 13
  9. 2023Parameter Efficient Local Implicit Image Function Network for Face Segmentationcited by 7
  10. 2024SPARK: Self-supervised Personalized Real-time Monocular Face Capturecited by 6
  11. 2021Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple Imagescited by 4
  12. 2021Generating Diverse 3D Reconstructions from a Single Occluded Face Imagecited by 4
2 more
  1. 2026Registration-Free Learnable Multi-View Capture of Faces in Dense Semantic Correspondencecited by 1
  2. 2026High-Fidelity 3D Facial Avatar Synthesis with Controllable Fine-Grained Expressionscited by 0