A Comparative Study of Garment Draping Techniques
Not on the map. Why?
Abstract (arXiv)
We present a comparison review that evaluates popular techniques for garment draping for 3D fashion design, virtual try-ons, and animations. A comparative study is performed between various methods for garment draping of clothing over the human body. These include numerous models, such as physics and machine learning based techniques, collision handling, and more. Performance evaluations and trade-offs are discussed to ensure informed decision-making when choosing the most appropriate approach. These methods aim to accurately represent deformations and fine wrinkles of digital garments, considering the factors of data requirements, and efficiency, to produce realistic results. The research can be insightful to researchers, designers, and developers in visualizing dynamic multi-layered 3D clothing.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 55 of its 105 references that are in the map. First posted on arXiv 17 May 2024.
Builds on
55 of 105 references.
References · 55
- 2019DeepSDF: Learning Continuous Signed Distance Functions for Shape Representationcited by 2,689
- 2018Occupancy Networks: Learning 3D Reconstruction in Function Spacecited by 2,041
- 2019AMASS: Archive of Motion Capture as Surface Shapescited by 1,236
- 2018Learning Implicit Fields for Generative Shape Modelingcited by 1,060
- 2020Learning to Simulate Complex Physics with Graph Networkscited by 880
- 2020Learning Mesh-Based Simulation with Graph Networkscited by 868
- 2022Point-E: A System for Generating 3D Point Clouds from Complex Promptscited by 699
- 2022LION: Latent Point Diffusion Models for 3D Shape Generationcited by 553
- 2021ICON: Implicit Clothed humans Obtained from Normalscited by 283
- 2019Multi-Garment Net: Learning to Dress 3D People from Imagescited by 245
- 2018Graph networks as learnable physics engines for inference and controlcited by 244
- 2021SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapescited by 221
38 more
- 2019Tex2Shape: Detailed Full Human Body Geometry From a Single Imagecited by 166
- 2021SMPLicit: Topology-aware Generative Model for Clothed Peoplecited by 155
- 2020TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Stylecited by 149
- 2019CLOTH3D: Clothed 3D Humanscited by 116
- 2016A Differentiable Physics Engine for Deep Learning in Roboticscited by 108
- 2021Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothingcited by 102
- 2022MultiScale MeshGraphNetscited by 98
- 2019Learning-Based Animation of Clothing for Virtual Try-Oncited by 89
- 2022SNUG: Self-Supervised Neural Dynamic Garmentscited by 83
- 2021Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-Oncited by 81
- 2021MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Imagescited by 78
- 2022HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamicscited by 78
- 2019360-Degree Textures of People in Clothing from a Single Imagecited by 75
- 2022gDNA: Towards Generative Detailed Neural Avatarscited by 72
- 2018GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Drapingcited by 69
- 2021DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contactcited by 65
- 2023Real-Time Radiance Fields for Single-Image Portrait View Synthesiscited by 64
- 2020PBNS: Physically Based Neural Simulator for Unsupervised Garment Pose Space Deformationcited by 63
- 2022AvatarGen: A 3D Generative Model for Animatable Human Avatarscited by 59
- 2020DeepCloth: Neural Garment Representation for Shape and Style Editingcited by 54
- 2022Learning Implicit Templates for Point-Based Clothed Human Modelingcited by 50
- 2020DeePSD: Automatic Deep Skinning And Pose Space Deformation For 3D Garment Animationcited by 43
- 2022DrapeNet: Garment Generation and Self-Supervised Drapingcited by 41
- 2022Predicting Loose-Fitting Garment Deformations Using Bone-Driven Motion Networkscited by 39
- 2021Point-Based Modeling of Human Clothingcited by 37
- 2020Codimensional Incremental Potential Contactcited by 34
- 2023ISP: Multi-Layered Garment Draping with Implicit Sewing Patternscited by 32
- 2022DIG: Draping Implicit Garment over the Human Bodycited by 26
- 2024Garment3DGen: 3D Garment Stylization and Texture Generationcited by 26
- 2022Motion Guided Deep Dynamic 3D Garmentscited by 19
- 2022Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identificationcited by 17
- 2021N-Cloth: Predicting 3D Cloth Deformation with Mesh-Based Networkscited by 14
- 2024Multiscale graph neural networks with adaptive mesh refinement for accelerating mesh-based simulationscited by 12
- 2022Layered-Garment Net: Generating Multiple Implicit Garment Layers from a Single Imagecited by 9
- 2023ClothCombo: Modeling Inter-Cloth Interaction for Draping Multi-Layered Clothescited by 7
- 2023How Will It Drape Like? Capturing Fabric Mechanics from Depth Imagescited by 6
- 2022Mesh-Tension Driven Expression-Based Wrinkles for Synthetic Facescited by 5
- 2022Unphased Wrinkles: Estimating cloth elasticity parameters using a frequency-based losscited by 4
50 most cited of 55 All 55 (JSON)
Built on by
Citing papers per year: 2025: 1.
1 paper.