Perspective Reconstruction of Human Faces by Joint Mesh and Landmark Regression
Not on the map. Why?
Abstract (arXiv)
Even though 3D face reconstruction has achieved impressive progress, most orthogonal projection-based face reconstruction methods can not achieve accurate and consistent reconstruction results when the face is very close to the camera due to the distortion under the perspective projection. In this paper, we propose to simultaneously reconstruct 3D face mesh in the world space and predict 2D face landmarks on the image plane to address the problem of perspective 3D face reconstruction. Based on the predicted 3D vertices and 2D landmarks, the 6DoF (6 Degrees of Freedom) face pose can be easily estimated by the PnP solver to represent perspective projection. Our approach achieves 1st place on the leader-board of the ECCV 2022 WCPA challenge and our model is visually robust under different identities, expressions and poses. The training code and models are released to facilitate future research.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 21 of its 31 references that are in the map. First posted on arXiv 15 Aug 2022.
Builds on
21 of 31 references.
References · 21
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9 more
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Built on by
Citing papers per year: 2023: 1; 2024: 2; 2025: 0; 2026: 1.
4 papers.
- 2023ExpCLIP: Bridging Text and Facial Expressions via Semantic Alignmentcited by 13
- 2024Real-time 3D-aware Portrait Editing from a Single Imagecited by 10
- 2024Bidirectional Regression for Monocular 6DoF Head Pose Estimation and Reference System Alignmentcited by 0
- 2026Diffusion-Based Makeup Transfer with Facial Region-Aware Makeup Featurescited by 0
- 2026Diffusion-Based Makeup Transfer with Facial Region-Aware Makeup Features20 Mar 2026
- 2024Bidirectional Regression for Monocular 6DoF Head Pose Estimation and Reference System Alignment19 Jul 2024
- 2024Real-time 3D-aware Portrait Editing from a Single Image21 Feb 2024
- 2023ExpCLIP: Bridging Text and Facial Expressions via Semantic Alignment28 Aug 2023