mlsanityData to 7 Oct 2026

HMC: Hierarchical Mesh Coarsening for Skeleton-free Motion Retargeting

arXiv 2303.10941 ↗First posted 20 Mar 2023cs.CV cs.GRcited by 5

Not on the map. Why?

Abstract (arXiv)

We present a simple yet effective method for skeleton-free motion retargeting. Previous methods transfer motion between high-resolution meshes, failing to preserve the inherent local-part motions in the mesh. Addressing this issue, our proposed method learns the correspondence in a coarse-to-fine fashion by integrating the retargeting process with a mesh-coarsening pipeline. First, we propose a mesh-coarsening module that coarsens the mesh representations for better motion transfer. This module improves the ability to handle small-part motion and preserves the local motion interdependence between neighboring mesh vertices. Furthermore, we leverage a hierarchical refinement procedure to complement missing mesh details by gradually improving the low-resolution mesh output with a higher-resolution one. We evaluate our method on several well-known 3D character datasets, and it yields an average improvement of 25% on point-wise mesh euclidean distance (PMD) against the start-of-art method. Moreover, our qualitative results show that our method is significantly helpful in preserving the moving consistency of different body parts on the target character due to disentangling body-part structures and mesh details in a hierarchical way.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 15 of its 40 references that are in the map. First posted on arXiv 20 Mar 2023.

Builds on

15 of 40 references.

References · 15

  1. 2019AMASS: Archive of Motion Capture as Surface Shapescited by 1,208
  2. 2020Skeleton-Aware Networks for Deep Motion Retargetingcited by 118
  3. 2021SimPoE: Simulated Character Control for 3D Human Pose Estimationcited by 111
  4. 2018Neural Kinematic Networks for Unsupervised Motion Retargettingcited by 85
  5. 2020Unsupervised Shape and Pose Disentanglement for 3D Meshescited by 61
  6. 2018Photo Wake-Up: 3D Character Animation from a Single Photocited by 60
  7. 2021Learning Skeletal Articulations with Neural Blend Shapescited by 52
  8. 2020Neural Pose Transfer by Spatially Adaptive Instance Normalizationcited by 37
  9. 2021Contact-Aware Retargeting of Skinned Motioncited by 31
  10. 20213D Pose Transfer with Correspondence Learning and Mesh Refinementcited by 30
  11. 2022Skeleton-free Pose Transfer for Stylized 3D Characterscited by 29
  12. 2021Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfercited by 20
3 more
  1. 2022SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning Prediction of Synthetic Characterscited by 16
  2. 2021MoCaNet: Motion Retargeting in-the-wild via Canonicalization Networkscited by 13
  3. 2020Multiscale Mesh Deformation Component Analysis with Attention-based Autoencoderscited by 7

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 1; 2025: 1; 2026: 1.

5 papers.