A Review of 3D Face Reconstruction From a Single Image
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Abstract (arXiv)
3D face reconstruction is a challenging problem but also an important task in the field of computer vision and graphics. Recently, many researchers put attention to the problem and a large number of articles have been published. Single image reconstruction is one of the branches of 3D face reconstruction, which has a lot of applications in our life. This paper is a review of the recent literature on 3D face reconstruction from a single image.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 39 of its 100 references that are in the map. First posted on arXiv 13 Oct 2021.
Builds on
39 of 100 references.
References · 39
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- 2018Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Networkcited by 195
27 more
- 2017MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstructioncited by 163
- 2019GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstructioncited by 150
- 2018Face Alignment in Full Pose Range: A 3D Total Solutioncited by 147
- 2017Morphable Face Models - An Open Frameworkcited by 138
- 2016Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Networkcited by 109
- 2018Unsupervised Training for 3D Morphable Model Regressioncited by 99
- 2020AvatarMe: Realistically Renderable 3D Facial Reconstruction "in-the-wild"cited by 91
- 2016Learning Detailed Face Reconstruction from a Single Imagecited by 71
- 2017Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regressioncited by 66
- 20163D Face Reconstruction by Learning from Synthetic Datacited by 64
- 2019Towards a complete 3D morphable model of the human headcited by 63
- 2017Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translationcited by 56
- 2018On Learning 3D Face Morphable Model from In-the-wild Imagescited by 54
- 2020Towards High-Fidelity 3D Face Reconstruction from In-the-Wild Images Using Graph Convolutional Networkscited by 51
- 2019Combining 3D Morphable Models: A Large scale Face-and-Head Modelcited by 49
- 2017End-to-end 3D face reconstruction with deep neural networkscited by 47
- 2019MVF-Net: Multi-View 3D Face Morphable Model Regressioncited by 45
- 20173D Face Morphable Models "In-the-Wild"cited by 44
- 2018Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognitioncited by 27
- 2019Dense 3D Face Decoding over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoderscited by 22
- 2017Faster Than Real-time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Posescited by 19
- 2019Subjective and Objective De-raining Quality Assessment Towards Authentic Rain Imagecited by 18
- 2019A New Local Transformation Module for Few-shot Segmentationcited by 15
- 20173D Morphable Models as Spatial Transformer Networkscited by 12
- 2021Non-Homogeneous Haze Removal via Artificial Scene Prior and Bidimensional Graph Reasoningcited by 6
- 20173D Face Reconstruction from Light Field Images: A Model-free Approachcited by 5
- 20174DFAB: A Large Scale 4D Facial Expression Database for Biometric Applicationscited by 3
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