article · Sensors · 2024

Advanced 3D Face Reconstruction from Single 2D Images Using Enhanced Adversarial Neural Networks and Graph Neural Networks

Mohamed Fathallah, Sherif El-etriby, Maazen Alsabaan, Mohamed I. Ibrahem, Gamal Farok

Cited by 7Open access

Abstract

This paper presents a novel framework for 3D face reconstruction from single 2D images and addresses critical limitations in existing methods. Our approach integrates modified adversarial neural networks with graph neural networks to achieve state-of-the-art performance. Key innovations include (1) a generator architecture based on Graph Convolutional Networks (GCNs) with a novel loss function and identity blocks, mitigating mode collapse and instability; (2) the integration of facial landmarks and a non-parametric efficient-net decoder for enhanced feature capture; and (3) a lightweight GCN-based discriminator for improved accuracy and stability. Evaluated on the 300W-LP and AFLW2000-3D datasets, our method outperforms existing approaches, reducing Chamfer Distance by 62.7% and Earth Mover's Distance by 57.1% on 300W-LP. Moreover, our framework demonstrates superior robustness to variations in head positioning, occlusion, noise, and lighting conditions while achieving significantly faster processing times.

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APA 7

Fathallah, M., El-etriby, S., Alsabaan, M., Ibrahem, M. I., & Farok, G. (2024). Advanced 3D Face Reconstruction from Single 2D Images Using Enhanced Adversarial Neural Networks and Graph Neural Networks. Sensors, 24(19), 6280. https://doi.org/10.3390/s24196280

MLA 9

Fathallah, Mohamed, et al. “Advanced 3D Face Reconstruction from Single 2D Images Using Enhanced Adversarial Neural Networks and Graph Neural Networks.” Sensors, vol. 24, no. 19, 2024, p. 6280, https://doi.org/10.3390/s24196280.

Chicago

Fathallah, Mohamed, Sherif El-etriby, Maazen Alsabaan, Mohamed I. Ibrahem, and Gamal Farok. 2024. “Advanced 3D Face Reconstruction from Single 2D Images Using Enhanced Adversarial Neural Networks and Graph Neural Networks.” Sensors 24 (19): 6280. https://doi.org/10.3390/s24196280.

Harvard

Fathallah, M. et al. (2024) ‘Advanced 3D Face Reconstruction from Single 2D Images Using Enhanced Adversarial Neural Networks and Graph Neural Networks’, Sensors, 24(19), p. 6280. Available at: https://doi.org/10.3390/s24196280.

BibTeX

@article{fathallah2024advanced,
  title = {{Advanced 3D Face Reconstruction from Single 2D Images Using Enhanced Adversarial Neural Networks and Graph Neural Networks}},
  author = {Fathallah, Mohamed and El-etriby, Sherif and Alsabaan, Maazen and Ibrahem, Mohamed I. and Farok, Gamal},
  journal = {Sensors},
  volume = {24},
  number = {19},
  pages = {6280},
  year = {2024},
  doi = {10.3390/s24196280}
}

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Advanced 3D Face Reconstruction from Single 2D Images Using Enhanced Adversarial Neural Networks and Graph Neural Networks

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