mlsanityData to 7 Oct 2026

Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild

arXiv 1803.05536 ↗First posted 14 Mar 2018cs.CVcited by 22

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Abstract (arXiv)

This paper investigates the evaluation of dense 3D face reconstruction from a single 2D image in the wild. To this end, we organise a competition that provides a new benchmark dataset that contains 2000 2D facial images of 135 subjects as well as their 3D ground truth face scans. In contrast to previous competitions or challenges, the aim of this new benchmark dataset is to evaluate the accuracy of a 3D dense face reconstruction algorithm using real, accurate and high-resolution 3D ground truth face scans. In addition to the dataset, we provide a standard protocol as well as a Python script for the evaluation. Last, we report the results obtained by three state-of-the-art 3D face reconstruction systems on the new benchmark dataset. The competition is organised along with the 2018 13th IEEE Conference on Automatic Face & Gesture Recognition.

Key facts. Cited by 22 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Mar 2018.

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Citing papers per year: 2021: 1; 2022: 8; 2023: 6; 2024: 2; 2025: 3; 2026: 2.

22 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. 2022PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Imagescited by 152
  4. 2022MogaNet: Multi-order Gated Aggregation Networkcited by 59
  5. 2021FaceScape: 3D Facial Dataset and Benchmark for Single-View 3D Face Reconstructioncited by 34
  6. 2022REALY: Rethinking the Evaluation of 3D Face Reconstructioncited by 32
  7. 2023Towards Realistic Generative 3D Face Modelscited by 20
  8. 2025Pixel3DMM: Versatile Screen-Space Priors for Single-Image 3D Face Reconstructioncited by 20
  9. 2025TEASER: Token Enhanced Spatial Modeling for Expressions Reconstructioncited by 13
  10. 2023A Perceptual Shape Loss for Monocular 3D Face Reconstructioncited by 6
  11. 2022Are 3D Face Shapes Expressive Enough for Recognising Continuous Emotions and Action Unit Intensities?cited by 4
  12. 2022Structure-aware Editable Morphable Model for 3D Facial Detail Animation and Manipulationcited by 4
10 more
  1. 2023SwiftAvatar: Efficient Auto-Creation of Parameterized Stylized Character on Arbitrary Avatar Enginescited by 3
  2. 2023End-to-End Latency Optimization of Multi-view 3D Reconstruction for Disaster Responsecited by 2
  3. 2022FuRPE: Learning Full-body Reconstruction from Part Expertscited by 1
  4. 2023Application of Self-Supervised Learning to MICA Model for Reconstructing Imperfect 3D Facial Structurescited by 1
  5. 2023A survey and classification of face alignment methods based on face modelscited by 1
  6. 20253D Face Reconstruction Error Decomposed: A Modular Benchmark for Fair and Fast Method Evaluationcited by 1
  7. 20243D Face Reconstruction Using A Spectral-Based Graph Convolution Encodercited by 0
  8. 2024OFER: Occluded Face Expression Reconstructioncited by 0
  9. 2026Discovering Geometric Biases in 3D Face Reconstruction: A Curvature-Aware Spectral Framework for Fairness Evaluationcited by 0
  10. 2026GRAPE: Graduated Routing for Articulated Portrait mesh Estimationcited by 0