mlsanityData to 7 Oct 2026

SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning Prediction of Synthetic Characters

arXiv 2203.04746 ↗First posted 9 Mar 2022cs.CV cs.AI cs.LGcited by 16

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Abstract (arXiv)

This work presents SkinningNet, an end-to-end Two-Stream Graph Neural Network architecture that computes skinning weights from an input mesh and its associated skeleton, without making any assumptions on shape class and structure of the provided mesh. Whereas previous methods pre-compute handcrafted features that relate the mesh and the skeleton or assume a fixed topology of the skeleton, the proposed method extracts this information in an end-to-end learnable fashion by jointly learning the best relationship between mesh vertices and skeleton joints. The proposed method exploits the benefits of the novel Multi-Aggregator Graph Convolution that combines the results of different aggregators during the summarizing step of the Message-Passing scheme, helping the operation to generalize for unseen topologies. Experimental results demonstrate the effectiveness of the contributions of our novel architecture, with SkinningNet outperforming current state-of-the-art alternatives.

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). Builds on 20 of its 38 references that are in the map. First posted on arXiv 9 Mar 2022.

Builds on

20 of 38 references.

References · 20

  1. 2016Semi-Supervised Classification with Graph Convolutional Networkscited by 11,282
  2. 2017Graph Attention Networkscited by 8,854
  3. 2018How Powerful are Graph Neural Networks?cited by 4,355
  4. 2017Neural Message Passing for Quantum Chemistrycited by 3,460
  5. 2018Dynamic Graph CNN for Learning on Point Cloudscited by 2,220
  6. 2016Convolutional Neural Networks on Graphs with Fast Localized Spectral Filteringcited by 2,085
  7. 2013Spectral Networks and Locally Connected Networks on Graphscited by 1,097
  8. 2019On the Variance of the Adaptive Learning Rate and Beyondcited by 763
  9. 2015Convolutional Networks on Graphs for Learning Molecular Fingerprintscited by 751
  10. 2019DeepGCNs: Can GCNs Go as Deep as CNNs?cited by 527
  11. 2016Geometric deep learning on graphs and manifolds using mixture model CNNscited by 468
  12. 2021SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapescited by 221
8 more
  1. 2021SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networkscited by 181
  2. 2021MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Predictioncited by 100
  3. 2019Understanding the Representation Power of Graph Neural Networks in Learning Graph Topologycited by 52
  4. 2021Learning Skeletal Articulations with Neural Blend Shapescited by 52
  5. 2020RigNet: Neural Rigging for Articulated Characterscited by 31
  6. 20202D-3D Geometric Fusion Network using Multi-Neighbourhood Graph Convolution for RGB-D Indoor Scene Classificationcited by 9
  7. 2018Learning Bidirectional LSTM Networks for Synthesizing 3D Mesh Animation Sequencescited by 4
  8. 2019Residual Attention Graph Convolutional Network for Geometric 3D Scene Classificationcited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 2; 2025: 8; 2026: 3.

16 papers.

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  1. 2025MagicArticulate: Make Your 3D Models Articulation-Readycited by 43
  2. 2025Puppeteer: Rig and Animate Your 3D Modelscited by 41
  3. 2025Anymate: A Dataset and Baselines for Learning 3D Object Riggingcited by 27
  4. 2024HumanRig: Learning Automatic Rigging for Humanoid Character in a Large Scale Datasetcited by 12
  5. 2025Auto-Connect: Connectivity-Preserving RigFormer with Direct Preference Optimizationcited by 7
  6. 2023Correspondence-free online human motion retargetingcited by 6
  7. 2023VINECS: Video-based Neural Character Skinningcited by 6
  8. 2024Robust Biharmonic Skinning Using Geometric Fieldscited by 6
  9. 2023HMC: Hierarchical Mesh Coarsening for Skeleton-free Motion Retargetingcited by 5
  10. 2025ASMR: Adaptive Skeleton-Mesh Rigging and Skinning via 2D Generative Priorcited by 2
  11. 2025RigAnyFace: Scaling Neural Facial Mesh Auto-Rigging with Unlabeled Datacited by 2
  12. 2025CageNet: A Meta-Framework for Learning on Wild Meshescited by 1
4 more
  1. 2025MimiCAT: Mimic with Correspondence-Aware Cascade-Transformer for Category-Free 3D Pose Transfercited by 1
  2. 2026UNICA: A Unified Neural Framework for Controllable 3D Avatarscited by 0
  3. 2026G-Skin: Learning to Bind 3D Gaussians with Generative Visual Priorscited by 0
  4. 2026A Geodesic Cut-Cell Prior for Neural Skinningcited by 0