mlsanityData to 7 Oct 2026

CSANet: Channel Spatial Attention Network for Robust 3D Face Alignment and Reconstruction

arXiv 2405.19659 ↗First posted 30 May 2024cs.CV eess.IVcited by 1

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Abstract (arXiv)

Our project proposes an end-to-end 3D face alignment and reconstruction network. The backbone of our model is built by Bottle-Neck structure via Depth-wise Separable Convolution. We integrate Coordinate Attention mechanism and Spatial Group-wise Enhancement to extract more representative features. For more stable training process and better convergence, we jointly use Wing loss and the Weighted Parameter Distance Cost to learn parameters for 3D Morphable model and 3D vertices. Our proposed model outperforms all baseline models both quantitatively and qualitatively.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 20 of its 37 references that are in the map. First posted on arXiv 30 May 2024.

Builds on

20 of 37 references.

References · 20

  1. 2017Squeeze-and-Excitation Networkscited by 4,763
  2. 2017MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applicationscited by 3,827
  3. 2018CBAM: Convolutional Block Attention Modulecited by 2,463
  4. 2018Generating 3D faces using Convolutional Mesh Autoencoderscited by 267
  5. 2021Coordinate Attention for Efficient Mobile Network Designcited by 239
  6. 2020Towards Fast, Accurate and Stable 3D Dense Face Alignmentcited by 219
  7. 2018Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Networkcited by 195
  8. 2018BAM: Bottleneck Attention Modulecited by 171
  9. 2018Face Alignment in Full Pose Range: A 3D Total Solutioncited by 147
  10. 2016Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Networkcited by 109
  11. 2017Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networkscited by 108
  12. 2017Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regressioncited by 66
8 more
  1. 2018On Learning 3D Face Morphable Model from In-the-wild Imagescited by 54
  2. 2019Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networkscited by 33
  3. 2021SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstructioncited by 27
  4. 2017Dense Face Alignmentcited by 24
  5. 2017Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognitioncited by 21
  6. 2015Fitting 3D Morphable Models using Local Featurescited by 6
  7. 2019Dual Attention MobDenseNet(DAMDNet) for Robust 3D Face Alignmentcited by 6
  8. 20183D Face From X: Learning Face Shape from Diverse Sourcescited by 1

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Citing papers per year: 2024: 1.

1 paper.

  1. 2024CNNtention: Can CNNs do better with Attention?cited by 0