mlsanityData to 7 Oct 2026

CLOAF: CoLlisiOn-Aware Human Flow

arXiv 2403.09050 ↗First posted 14 Mar 2024cs.CVcited by 4

Not on the map. Why?

Abstract (arXiv)

Even the best current algorithms for estimating body 3D shape and pose yield results that include body self-intersections. In this paper, we present CLOAF, which exploits the diffeomorphic nature of Ordinary Differential Equations to eliminate such self-intersections while still imposing body shape constraints. We show that, unlike earlier approaches to addressing this issue, ours completely eliminates the self-intersections without compromising the accuracy of the reconstructions. Being differentiable, CLOAF can be used to fine-tune pose and shape estimation baselines to improve their overall performance and eliminate self-intersections in their predictions. Furthermore, we demonstrate how our CLOAF strategy can be applied to practically any motion field induced by the user. CLOAF also makes it possible to edit motion to interact with the environment without worrying about potential collision or loss of body-shape prior.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 23 of its 36 references that are in the map. First posted on arXiv 14 Mar 2024.

Builds on

23 of 36 references.

References · 23

  1. 2018Neural Ordinary Differential Equationscited by 3,733
  2. 2020Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domainscited by 2,170
  3. 2019Expressive Body Capture: 3D Hands, Face, and Body from a Single Imagecited by 1,600
  4. 2019AMASS: Archive of Motion Capture as Surface Shapescited by 1,208
  5. 2017End-to-end Recovery of Human Shape and Posecited by 883
  6. 2016Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Imagecited by 692
  7. 2019Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loopcited by 625
  8. 2019VIBE: Video Inference for Human Body Pose and Shape Estimationcited by 615
  9. 2018Lipschitz regularity of deep neural networks: analysis and efficient estimationcited by 413
  10. 2023Humans in 4D: Reconstructing and Tracking Humans with Transformerscited by 344
  11. 2021PARE: Part Attention Regressor for 3D Human Body Estimationcited by 334
  12. 2020HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimationcited by 304
11 more
  1. 2019Resolving 3D Human Pose Ambiguities with 3D Scene Constraintscited by 294
  2. 2020I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Imagecited by 274
  3. 2020Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Videocited by 162
  4. 2015Capturing Hands in Action using Discriminative Salient Points and Physics Simulationcited by 115
  5. 2020We are More than Our Joints: Predicting how 3D Bodies Movecited by 115
  6. 2021On Self-Contact and Human Posecited by 88
  7. 2020Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flowscited by 60
  8. 2022Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Videocited by 59
  9. 2022COAP: Compositional Articulated Occupancy of Peoplecited by 59
  10. 2021Can convolutional ResNets approximately preserve input distances? A frequency analysis perspectivecited by 7
  11. 2020MeshODE: A Robust and Scalable Framework for Mesh Deformationcited by 6

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 2.

4 papers.

  1. 2025PhysPose: Refining 6D Object Poses with Physical Constraintscited by 3
  2. 2026HumanScore: Benchmarking Human Motions in Generated Videoscited by 2
  3. 2025Quality assessment of 3D human animation: Subjective and objective evaluationcited by 1
  4. 2026From Sign Language Generation to Humanoid Execution: Vision-Language Guided Retargeting with Collision Mitigationcited by 0