mlsanityData to 14 Oct 2026

GAPS: Geometry-Aware, Physics-Based, Self-Supervised Neural Garment Draping

arXiv 2312.01490 ↗First posted 3 Dec 2023cs.CV cs.GR cs.LGcited by 9

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Abstract (arXiv)

Recent neural, physics-based modeling of garment deformations allows faster and visually aesthetic results as opposed to the existing methods. Material-specific parameters are used by the formulation to control the garment inextensibility. This delivers unrealistic results with physically implausible stretching. Oftentimes, the draped garment is pushed inside the body which is either corrected by an expensive post-processing, thus adding to further inconsistent stretching; or by deploying a separate training regime for each body type, restricting its scalability. Additionally, the flawed skinning process deployed by existing methods produces incorrect results on loose garments. In this paper, we introduce a geometrical constraint to the existing formulation that is collision-aware and imposes garment inextensibility wherever possible. Thus, we obtain realistic results where draped clothes stretch only while covering bigger body regions. Furthermore, we propose a geometry-aware garment skinning method by defining a body-garment closeness measure which works for all garment types, especially the loose ones.

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 26 of its 45 references that are in the map. First posted on arXiv 3 Dec 2023.

Builds on

26 of 45 references.

References · 26

  1. 2016PointNet: Deep Learning on Point Sets for 3D Classification and Segmentationcited by 5,248
  2. 2017PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Spacecited by 4,401
  3. 2019AMASS: Archive of Motion Capture as Surface Shapescited by 1,236
  4. 2020Learning Mesh-Based Simulation with Graph Networkscited by 868
  5. 2021SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapescited by 221
  6. 2018Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimationcited by 185
  7. 2021SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networkscited by 181
  8. 2021SMPLicit: Topology-aware Generative Model for Clothed Peoplecited by 155
  9. 2020TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Stylecited by 149
  10. 2020Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondencecited by 125
  11. 2019CLOTH3D: Clothed 3D Humanscited by 116
  12. 2018DeepWrinkles: Accurate and Realistic Clothing Modelingcited by 90
14 more
  1. 2019Learning-Based Animation of Clothing for Virtual Try-Oncited by 89
  2. 2020SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothingcited by 87
  3. 2022SNUG: Self-Supervised Neural Dynamic Garmentscited by 83
  4. 2021Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-Oncited by 81
  5. 2018GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Drapingcited by 69
  6. 20163D Face Reconstruction by Learning from Synthetic Datacited by 64
  7. 2020PBNS: Physically Based Neural Simulator for Unsupervised Garment Pose Space Deformationcited by 63
  8. 2019Shape Reconstruction by Learning Differentiable Surface Representationscited by 37
  9. 2022Neural Cloth Simulationcited by 36
  10. 2022Neural Point-based Shape Modeling of Humans in Challenging Clothingcited by 29
  11. 2021Dynamic Neural Garmentscited by 27
  12. 2020GarNet++: Improving Fast and Accurate Static3D Cloth Draping by Curvature Losscited by 24
  13. 2020Robust Isometric Non-Rigid Structure-from-Motioncited by 7
  14. 2021Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlasescited by 7

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 5; 2026: 4.

9 papers.

  1. 2025D-Garment: Physically Grounded Latent Diffusion for Dynamic Garment Deformationscited by 2
  2. 2025NGD: Neural Gradient Based Deformation for Monocular Garment Reconstructioncited by 2
  3. 2025Image-Guided Shape-from-Template Using Mesh Inextensibility Constraintscited by 0
  4. 2025Learning High-Fidelity Cloth Animation via Skinning-Free Image Transfercited by 0
  5. 2025FNOPT: Resolution-Agnostic, Self-Supervised Cloth Simulation using Meta-Optimization with Fourier Neural Operatorscited by 0
  6. 2026Patch-based Representation and Learning for Efficient Deformation Modelingcited by 0
  7. 2026PhysDrape: Learning Explicit Forces and Collision Constraints for Physically Realistic Garment Drapingcited by 0
  8. 2026HyperBones: Realtime Bone-driven Neural Garment Simulation with Hypernetwork Conditioningcited by 0
  9. 2026DiT-Garment: Garment Dynamics with Diffusion Transformerscited by 0