mlsanityData to 7 Oct 2026

KBody: Towards general, robust, and aligned monocular whole-body estimation

arXiv 2304.11542 ↗First posted 23 Apr 2023cs.CVcited by 6

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Abstract (arXiv)

KBody is a method for fitting a low-dimensional body model to an image. It follows a predict-and-optimize approach, relying on data-driven model estimates for the constraints that will be used to solve for the body's parameters. Acknowledging the importance of high quality correspondences, it leverages ``virtual joints" to improve fitting performance, disentangles the optimization between the pose and shape parameters, and integrates asymmetric distance fields to strike a balance in terms of pose and shape capturing capacity, as well as pixel alignment. We also show that generative model inversion offers a strong appearance prior that can be used to complete partial human images and used as a building block for generalized and robust monocular body fitting. Project page: https://zokin.github.io/KBody.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 62 of its 77 references that are in the map. First posted on arXiv 23 Apr 2023.

Builds on

62 of 77 references.

References · 62

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38 more
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50 most cited of 62 All 62 (JSON)

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 4; 2025: 0; 2026: 2.

6 papers.

  1. 2024Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimationcited by 57
  2. 2024Distribution and Depth-Aware Transformers for 3D Human Mesh Recoverycited by 5
  3. 2024Uncertainty-Aware Testing-Time Optimization for 3D Human Pose Estimationcited by 2
  4. 2024Leveraging Anthropometric Measurements to Improve Human Mesh Estimation and Ensure Consistent Body Shapescited by 2
  5. 2026PRIMA: Boosting Animal Mesh Recovery with Biological Priors and Test-Time Adaptationcited by 1
  6. 2026Anny-Fit: All-Age Human Mesh Recoverycited by 0