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Codimensional Incremental Potential Contact

arXiv 2012.04457 ↗First posted 7 Dec 2020cs.GRcited by 33

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Abstract (arXiv)

We extend the incremental potential contact (IPC) model for contacting elastodynamics to resolve systems composed of codimensional DOFs in arbitrary combination. This enables a unified, interpenetration-free, robust, and stable simulation framework that couples codimension-0,1,2, and 3 geometries seamlessly with frictional contact. Extending IPC to thin structures poses new challenges in computing strain, modeling thickness and determining collisions. To address these challenges we propose three corresponding contributions. First, we introduce a C2 constitutive barrier model that directly enforces strain limiting as an energy potential while preserving rest state. This provides energetically-consistent strain limiting models (both isotropic and anisotropic) for cloth that enable strict satisfaction of strain-limit inequalities with direct coupling to both elastodynamics and contact via minimization of the incremental potential. Second, to capture the geometric thickness of codimensional domains we extend the IPC model to directly enforce distance offsets. Our treatment imposes a strict guarantee that mid-surfaces (resp. mid-lines) of shells (resp. rods) will not move closer than applied thickness values. This enables us to account for thickness in the contact behavior of codimensional structures and so robustly capture challenging contacting geometries; a number of which, to our knowledge, have not been simulated before. Third, codimensional models, especially with modeled thickness, mandate strict accuracy requirements that pose a severe challenge to all existing continuous collision detection (CCD) methods. To address these limitations we develop a new, efficient, simple-to-implement additive CCD (ACCD) method that applies conservative advancement to iteratively refine a lower bound for deforming primitives, converging to time of impact.

Key facts. Cited by 33 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Dec 2020.

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Citing papers per year: 2021: 1; 2022: 7; 2023: 4; 2024: 12; 2025: 2; 2026: 7.

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  2. 2022SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generationcited by 92
  3. 2022HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamicscited by 77
  4. 2021DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contactcited by 64
  5. 2024PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observationscited by 51
  6. 2022Differentiable Simulation of Soft Multi-body Systemscited by 39
  7. 2024Simplicits: Mesh-Free, Geometry-Agnostic, Elastic Simulationcited by 26
  8. 2024ChatGarment: Garment Estimation, Generation and Editing via Large Language Modelscited by 22
  9. 2022Dressing Avatars: Deep Photorealistic Appearance for Physically Simulated Clothingcited by 19
  10. 2022Motion Guided Deep Dynamic 3D Garmentscited by 19
  11. 2024GarmentDreamer: 3DGS Guided Garment Synthesis with Diverse Geometry and Texture Detailscited by 19
  12. 2024Learning Keypoints for Robotic Cloth Manipulation using Synthetic Datacited by 11
21 more
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  2. 2024Neural Garment Dynamics via Manifold-Aware Transformerscited by 8
  3. 2025MPMAvatar: Learning 3D Gaussian Avatars with Accurate and Robust Physics-Based Dynamicscited by 8
  4. 2022Understanding Physical Effects for Effective Tool-usecited by 7
  5. 2023Human 3D Avatar Modeling with Implicit Neural Representation: A Brief Surveycited by 7
  6. 20233D Generative Model Latent Disentanglement via Local Eigenprojectioncited by 6
  7. 2023NeuralClothSim: Neural Deformation Fields Meet the Thin Shell Theorycited by 6
  8. 2022Neural Volumetric Mesh Generatorcited by 5
  9. 2024SENC: Handling Self-collision in Neural Cloth Simulationcited by 4
  10. 2025Advances in 4D Representation: Geometry, Motion, and Interactioncited by 4
  11. 2023SwinGar: Spectrum-Inspired Neural Dynamic Deformation for Free-Swinging Garmentscited by 3
  12. 2024A Comparative Study of Garment Draping Techniquescited by 1
  13. 2024Neural Garment Dynamic Super-Resolutioncited by 1
  14. 2026ReWeaver: Towards Simulation-Ready and Topology-Accurate Garment Reconstructioncited by 1
  15. 2026Ani3DHuman: Photorealistic 3D Human Animation with Self-guided Stochastic Samplingcited by 1
  16. 2026PhysiFormer: Learning to Simulate Mechanics in World Spacecited by 1
  17. 2024AIpparel: A Multimodal Foundation Model for Digital Garmentscited by 0
  18. 2026SwiftTailor: Efficient 3D Garment Generation with Geometry Image Representationcited by 0
  19. 2026UNIC: Neural Garment Deformation Field for Real-time Clothed Character Animationcited by 0
  20. 2026PoseShield: Neural Collision Fields for Human Self-Collision Resolutioncited by 0
  21. 2026CoDimRecon: Agentic Reconstruction of Sim-Ready 3D Scenes with Deformable Curves, Surfaces, and Volumescited by 0