mlsanityData to 7 Oct 2026

3D Human Body Reconstruction from a Single Image via Volumetric Regression

arXiv 1809.03770 ↗First posted 11 Sep 2018cs.CVcited by 29

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Abstract (arXiv)

This paper proposes the use of an end-to-end Convolutional Neural Network for direct reconstruction of the 3D geometry of humans via volumetric regression. The proposed method does not require the fitting of a shape model and can be trained to work from a variety of input types, whether it be landmarks, images or segmentation masks. Additionally, non-visible parts, either self-occluded or otherwise, are still reconstructed, which is not the case with depth map regression. We present results that show that our method can handle both pose variation and detailed reconstruction given appropriate datasets for training.

Key facts. Cited by 29 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Sep 2018.

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Citing papers per year: 2021: 8; 2022: 11; 2023: 5; 2024: 3; 2025: 2.

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  1. 2021ICON: Implicit Clothed humans Obtained from Normalscited by 283
  2. 2021ARCH++: Animation-Ready Clothed Human Reconstruction Revisitedcited by 174
  3. 2022Photorealistic Monocular 3D Reconstruction of Humans Wearing Clothingcited by 126
  4. 20223D Clothed Human Reconstruction in the Wildcited by 41
  5. 2021ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priorscited by 34
  6. 2021HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Mediacited by 29
  7. 2022JIFF: Jointly-aligned Implicit Face Function for High Quality Single View Clothed Human Reconstructioncited by 26
  8. 2022Ray3D: ray-based 3D human pose estimation for monocular absolute 3D localizationcited by 25
  9. 2022AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capturecited by 25
  10. 2021Garment4D: Garment Reconstruction from Point Cloud Sequencescited by 23
  11. 2023Garment Recovery with Shape and Deformation Priorscited by 23
  12. 2023SeSDF: Self-evolved Signed Distance Field for Implicit 3D Clothed Human Reconstructioncited by 15
17 more
  1. 2021Data-Driven 3D Reconstruction of Dressed Humans From Sparse Viewscited by 11
  2. 2023Guide3D: Create 3D Avatars from Text and Image Guidancecited by 10
  3. 2024ANIM: Accurate Neural Implicit Model for Human Reconstruction from a single RGB-D imagecited by 9
  4. 2022Super-resolution 3D Human Shape from a Single Low-Resolution Imagecited by 6
  5. 20213D human tongue reconstruction from single "in-the-wild" imagescited by 5
  6. 2023High-Resolution Volumetric Reconstruction for Clothed Humanscited by 5
  7. 2024Multi-hypotheses Conditioned Point Cloud Diffusion for 3D Human Reconstruction from Occluded Imagescited by 5
  8. 2024Headset: Human emotion awareness under partial occlusions multimodal datasetcited by 4
  9. 2021Temporal Consistency Loss for High Resolution Textured and Clothed 3DHuman Reconstruction from Monocular Videocited by 3
  10. 2022PIFu for the Real World: A Self-supervised Framework to Reconstruct Dressed Human from Single-view Imagescited by 2
  11. 2022ReFu: Refine and Fuse the Unobserved View for Detail-Preserving Single-Image 3D Human Reconstructioncited by 2
  12. 2025Mamba-Driven Topology Fusion for Monocular 3D Human Pose Estimationcited by 2
  13. 2022Monocular Human Digitization via Implicit Re-projection Networkscited by 1
  14. 2022Single-view 3D Body and Cloth Reconstruction under Complex Posescited by 0
  15. 2022Realistic, Animatable Human Reconstructions for Virtual Fit-Oncited by 0
  16. 2023SHARE: Single-view Human Adversarial REconstructioncited by 0
  17. 2025EOPose : Exemplar-based object reposing using Generalized Pose Correspondencescited by 0