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Learning-Based Animation of Clothing for Virtual Try-On

arXiv 1903.07190 ↗First posted 17 Mar 2019cs.CVcited by 89

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Abstract (arXiv)

This paper presents a learning-based clothing animation method for highly efficient virtual try-on simulation. Given a garment, we preprocess a rich database of physically-based dressed character simulations, for multiple body shapes and animations. Then, using this database, we train a learning-based model of cloth drape and wrinkles, as a function of body shape and dynamics. We propose a model that separates global garment fit, due to body shape, from local garment wrinkles, due to both pose dynamics and body shape. We use a recurrent neural network to regress garment wrinkles, and we achieve highly plausible nonlinear effects, in contrast to the blending artifacts suffered by previous methods. At runtime, dynamic virtual try-on animations are produced in just a few milliseconds for garments with thousands of triangles. We show qualitative and quantitative analysis of results

Key facts. Cited by 89 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Mar 2019.

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Citing papers per year: 2021: 23; 2022: 18; 2023: 17; 2024: 16; 2025: 9; 2026: 6.

89 papers.

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  1. 2021SMPLicit: Topology-aware Generative Model for Clothed Peoplecited by 154
  2. 2021Parser-Free Virtual Try-on via Distilling Appearance Flowscited by 142
  3. 2021Real-time Deep Dynamic Characterscited by 133
  4. 2021Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothingcited by 102
  5. 2021The Power of Points for Modeling Humans in Clothingcited by 90
  6. 2022SNUG: Self-Supervised Neural Dynamic Garmentscited by 83
  7. 2022Capturing and Animation of Body and Clothing from Monocular Videocited by 83
  8. 2021Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-Oncited by 81
  9. 2022HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamicscited by 77
  10. 2021SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elementscited by 72
  11. 2021Modeling Clothing as a Separate Layer for an Animatable Human Avatarcited by 66
  12. 2024PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observationscited by 51
38 more
  1. 2022Learning Implicit Templates for Point-Based Clothed Human Modelingcited by 50
  2. 2023Learning Disentangled Avatars with Hybrid 3D Representationscited by 44
  3. 2022Predicting Loose-Fitting Garment Deformations Using Bone-Driven Motion Networkscited by 39
  4. 2022DrapeNet: Garment Generation and Self-Supervised Drapingcited by 39
  5. 2023High-Fidelity Clothed Avatar Reconstruction from a Single Imagecited by 38
  6. 2022Neural Cloth Simulationcited by 36
  7. 2021Generating Datasets of 3D Garments with Sewing Patternscited by 34
  8. 2022SPAMs: Structured Implicit Parametric Modelscited by 29
  9. 2022Neural Point-based Shape Modeling of Humans in Challenging Clothingcited by 29
  10. 2022C-VTON: Context-Driven Image-Based Virtual Try-On Networkcited by 29
  11. 2021Dynamic Neural Garmentscited by 27
  12. 2021Garment4D: Garment Reconstruction from Point Cloud Sequencescited by 23
  13. 2024ContourCraft: Learning to Resolve Intersections in Neural Multi-Garment Simulationscited by 23
  14. 2022PERGAMO: Personalized 3D Garments from Monocular Videocited by 22
  15. 2024GaussianVTON: 3D Human Virtual Try-ON via Multi-Stage Gaussian Splatting Editing with Image Promptingcited by 22
  16. 2023CloSET: Modeling Clothed Humans on Continuous Surface with Explicit Template Decompositioncited by 21
  17. 2023AvatarFusion: Zero-shot Generation of Clothing-Decoupled 3D Avatars Using 2D Diffusioncited by 20
  18. 2023CaPhy: Capturing Physical Properties for Animatable Human Avatarscited by 20
  19. 2022Dressing Avatars: Deep Photorealistic Appearance for Physically Simulated Clothingcited by 19
  20. 2022Motion Guided Deep Dynamic 3D Garmentscited by 19
  21. 2021HUMBI: A Large Multiview Dataset of Human Body Expressions and Benchmark Challengecited by 17
  22. 2024Disco4D: Disentangled 4D Human Generation and Animation from a Single Imagecited by 17
  23. 2021N-Cloth: Predicting 3D Cloth Deformation with Mesh-Based Networkscited by 14
  24. 2023OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixupcited by 12
  25. 2022NeuralTailor: Reconstructing Sewing Pattern Structures from 3D Point Clouds of Garmentscited by 10
  26. 2021Weakly Supervised High-Fidelity Clothing Model Generationcited by 9
  27. 2023GAPS: Geometry-Aware, Physics-Based, Self-Supervised Neural Garment Drapingcited by 9
  28. 2024SimAvatar: Simulation-Ready Avatars with Layered Hair and Clothingcited by 9
  29. 2021Shape Controllable Virtual Try-on for Underwear Modelscited by 8
  30. 2022A Repulsive Force Unit for Garment Collision Handling in Neural Networkscited by 7
  31. 2023Learning Anchor Transformations for 3D Garment Animationcited by 7
  32. 2023ClothCombo: Modeling Inter-Cloth Interaction for Draping Multi-Layered Clothescited by 7
  33. 2021DeepPhysics: a physics aware deep learning framework for real-time simulationcited by 6
  34. 2022Garment Avatars: Realistic Cloth Driving using Pattern Registrationcited by 6
  35. 2021Neural 3D Clothes Retargeting from a Single Imagecited by 5
  36. 2021Deep Deformation Detail Synthesis for Thin Shell Modelscited by 5
  37. 2021Per Garment Capture and Synthesis for Real-time Virtual Try-oncited by 5
  38. 2023PhysGraph: Physics-Based Integration Using Graph Neural Networkscited by 5

50 most cited of 89 All 89 (JSON)