mlsanityData to 7 Oct 2026

Dense Face Alignment

arXiv 1709.01442 ↗First posted 5 Sep 2017cs.CVcited by 24

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Abstract (arXiv)

Face alignment is a classic problem in the computer vision field. Previous works mostly focus on sparse alignment with a limited number of facial landmark points, i.e., facial landmark detection. In this paper, for the first time, we aim at providing a very dense 3D alignment for large-pose face images. To achieve this, we train a CNN to estimate the 3D face shape, which not only aligns limited facial landmarks but also fits face contours and SIFT feature points. Moreover, we also address the bottleneck of training CNN with multiple datasets, due to different landmark markups on different datasets, such as 5, 34, 68. Experimental results show our method not only provides high-quality, dense 3D face fitting but also outperforms the state-of-the-art facial landmark detection methods on the challenging datasets. Our model can run at real time during testing.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Sep 2017.

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Citing papers per year: 2021: 8; 2022: 7; 2023: 2; 2024: 4; 2025: 3.

24 papers.

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  1. 2022EMOCA: Emotion Driven Monocular Face Capture and Animationcited by 254
  2. 2024SMIRK: 3D Facial Expressions through Analysis-by-Neural-Synthesiscited by 81
  3. 20223D face reconstruction with dense landmarkscited by 70
  4. 2021SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstructioncited by 27
  5. 2021Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometrycited by 27
  6. 2021Fast Facial Landmark Detection and Applications: A Surveycited by 18
  7. 2021Self-Supervised 3D Face Reconstruction via Conditional Estimationcited by 17
  8. 2025TEASER: Token Enhanced Spatial Modeling for Expressions Reconstructioncited by 13
  9. 2022Towards 3D Face Reconstruction in Perspective Projection: Estimating 6DoF Face Pose from Monocular Imagecited by 9
  10. 2021Learning Free-Form Deformation for 3D Face Reconstruction from In-The-Wild Imagescited by 7
  11. 2023DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignmentcited by 6
  12. 2024SPARK: Self-supervised Personalized Real-time Monocular Face Capturecited by 6
12 more
  1. 2021Weakly-Supervised Multi-Face 3D Reconstructioncited by 5
  2. 2022Beyond 3DMM: Learning to Capture High-fidelity 3D Face Shapecited by 5
  3. 2022Leveraging Deepfakes to Close the Domain Gap between Real and Synthetic Images in Facial Capture Pipelinescited by 4
  4. 2022FreeEnricher: Enriching Face Landmarks without Additional Costcited by 3
  5. 20223D Dense Face Alignment with Fused Features by Aggregating CNNs and GCNscited by 2
  6. 2021Knowing When to Quit: Selective Cascaded Regression with Patch Attention for Real-Time Face Alignmentcited by 1
  7. 2024CSANet: Channel Spatial Attention Network for Robust 3D Face Alignment and Reconstructioncited by 1
  8. 2025Electromyography-Informed Facial Expression Reconstruction for Physiological-Based Synthesis and Analysiscited by 1
  9. 2021Accurate 3D Facial Geometry Prediction by Multi-Task, Multi-Modal, and Multi-Representation Landmark Refinement Networkcited by 0
  10. 20233D Face Alignment Through Fusion of Head Pose Information and Featurescited by 0
  11. 2024Robust 3D Face Alignment with Multi-Path Neural Architecture Searchcited by 0
  12. 2025FIELDS: Face reconstruction with accurate Inference of Expression using Learning with Direct Supervisioncited by 0