mlsanityData to 7 Oct 2026

Shape-Aware Human Pose and Shape Reconstruction Using Multi-View Images

arXiv 1908.09464 ↗First posted 26 Aug 2019cs.CVcited by 28

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Abstract (arXiv)

We propose a scalable neural network framework to reconstruct the 3D mesh of a human body from multi-view images, in the subspace of the SMPL model. Use of multi-view images can significantly reduce the projection ambiguity of the problem, increasing the reconstruction accuracy of the 3D human body under clothing. Our experiments show that this method benefits from the synthetic dataset generated from our pipeline since it has good flexibility of variable control and can provide ground-truth for validation. Our method outperforms existing methods on real-world images, especially on shape estimations.

Key facts. Cited by 28 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Aug 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 5; 2022: 8; 2023: 4; 2024: 9; 2025: 1; 2026: 1.

28 papers.

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  1. 2023BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motioncited by 229
  2. 2021DoubleField: Bridging the Neural Surface and Radiance Fields for High-fidelity Human Reconstruction and Renderingcited by 52
  3. 2021Conditional Directed Graph Convolution for 3D Human Pose Estimationcited by 52
  4. 2022Accurate 3D Body Shape Regression using Metric and Semantic Attributescited by 49
  5. 2021Probabilistic 3D Human Shape and Pose Estimation from Multiple Unconstrained Images in the Wildcited by 40
  6. 2021POSEFusion: Pose-guided Selective Fusion for Single-view Human Volumetric Capturecited by 22
  7. 2025BEDLAM2.0: Synthetic Humans and Cameras in Motioncited by 21
  8. 2022SHARP: Shape-Aware Reconstruction of People in Loose Clothingcited by 12
  9. 2022AirPose: Multi-View Fusion Network for Aerial 3D Human Pose and Shape Estimationcited by 11
  10. 2023Delving Deep into Pixel Alignment Feature for Accurate Multi-view Human Mesh Recoverycited by 10
  11. 2022Progressive Multi-view Human Mesh Recovery with Self-Supervisioncited by 9
  12. 2024GeneMAN: Generalizable Single-Image 3D Human Reconstruction from Multi-Source Human Datacited by 6
16 more
  1. 2021Probabilistic Estimation of 3D Human Shape and Pose with a Semantic Local Parametric Modelcited by 5
  2. 2022Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recoverycited by 5
  3. 2023High-Resolution Volumetric Reconstruction for Clothed Humanscited by 5
  4. 2024MUC: Mixture of Uncalibrated Cameras for Robust 3D Human Body Reconstructioncited by 5
  5. 2024Human Mesh Recovery from Arbitrary Multi-view Imagescited by 5
  6. 2024ShapeBoost: Boosting Human Shape Estimation with Part-Based Parameterization and Clothing-Preserving Augmentationcited by 4
  7. 2022Multi-view Human Body Mesh Translatorcited by 3
  8. 2022Human Body Measurement Estimation with Adversarial Augmentationcited by 3
  9. 2024Simultaneously Recovering Multi-Person Meshes and Multi-View Cameras with Human Semanticscited by 3
  10. 2022MVP-Human Dataset for 3D Human Avatar Reconstruction from Unconstrained Framescited by 2
  11. 2024SkelFormer: Markerless 3D Pose and Shape Estimation using Skeletal Transformerscited by 2
  12. 2024HeatFormer: A Neural Optimizer for Multiview Human Mesh Recoverycited by 2
  13. 2023SHARE: Single-view Human Adversarial REconstructioncited by 0
  14. 2024Self-learning Canonical Space for Multi-view 3D Human Pose Estimationcited by 0
  15. 2024A Simple Strategy for Body Estimation from Partial-View Imagescited by 0
  16. 2026Monocular Models are Strong Learners for Multi-View Human Mesh Recoverycited by 0