mlsanityData to 14 Oct 2026

Multi-Garment Net: Learning to Dress 3D People from Images

arXiv 1908.06903 ↗First posted 19 Aug 2019cs.CVcited by 245

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Abstract (arXiv)

We present Multi-Garment Network (MGN), a method to predict body shape and clothing, layered on top of the SMPL model from a few frames (1-8) of a video. Several experiments demonstrate that this representation allows higher level of control when compared to single mesh or voxel representations of shape. Our model allows to predict garment geometry, relate it to the body shape, and transfer it to new body shapes and poses. To train MGN, we leverage a digital wardrobe containing 712 digital garments in correspondence, obtained with a novel method to register a set of clothing templates to a dataset of real 3D scans of people in different clothing and poses. Garments from the digital wardrobe, or predicted by MGN, can be used to dress any body shape in arbitrary poses. We will make publicly available the digital wardrobe, the MGN model, and code to dress SMPL with the garments.

Key facts. Cited by 245 papers in the map (data through 14 Oct 2026). First posted on arXiv 19 Aug 2019.

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Citing papers per year: 2021: 51; 2022: 57; 2023: 55; 2024: 49; 2025: 19; 2026: 14.

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  1. 2021ICON: Implicit Clothed humans Obtained from Normalscited by 283
  2. 2022BEHAVE: Dataset and Method for Tracking Human Object Interactionscited by 249
  3. 2023BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motioncited by 236
  4. 2022ECON: Explicit Clothed humans Optimized via Normal integrationcited by 199
  5. 2021SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networkscited by 181
  6. 2021ARCH++: Animation-Ready Clothed Human Reconstruction Revisitedcited by 174
  7. 2021SMPLicit: Topology-aware Generative Model for Clothed Peoplecited by 155
  8. 2022SelfRecon: Self Reconstruction Your Digital Avatar from Monocular Videocited by 144
  9. 2021Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensorscited by 137
  10. 2021Real-time Deep Dynamic Characterscited by 133
  11. 2022Photorealistic Monocular 3D Reconstruction of Humans Wearing Clothingcited by 126
  12. 2023GP-VTON: Towards General Purpose Virtual Try-on via Collaborative Local-Flow Global-Parsing Learningcited by 120
38 more
  1. 2021A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representationcited by 114
  2. 2021Animatable Neural Radiance Fields from Monocular RGB Videoscited by 109
  3. 2023TeCH: Text-guided Reconstruction of Lifelike Clothed Humanscited by 104
  4. 2021Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothingcited by 102
  5. 2022CHORE: Contact, Human and Object REconstruction from a single RGB imagecited by 95
  6. 2021NPMs: Neural Parametric Models for 3D Deformable Shapescited by 90
  7. 2021The Power of Points for Modeling Humans in Clothingcited by 90
  8. 2022Style-Based Global Appearance Flow for Virtual Try-Oncited by 88
  9. 2023Hi4D: 4D Instance Segmentation of Close Human Interactioncited by 87
  10. 2022Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fieldscited by 85
  11. 2023AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Controlcited by 84
  12. 2022SNUG: Self-Supervised Neural Dynamic Garmentscited by 83
  13. 2023SIFU: Side-view Conditioned Implicit Function for Real-world Usable Clothed Human Reconstructioncited by 77
  14. 2021MeshUDF: Fast and Differentiable Meshing of Unsigned Distance Field Networkscited by 76
  15. 2021SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elementscited by 72
  16. 2022Neural Dual Contouringcited by 71
  17. 2023X-Avatar: Expressive Human Avatarscited by 66
  18. 2022Single Stage Virtual Try-on via Deformable Attention Flowscited by 65
  19. 2021StylePeople: A Generative Model of Fullbody Human Avatarscited by 62
  20. 2022Drivable Volumetric Avatars using Texel-Aligned Featurescited by 62
  21. 2022CLA-NeRF: Category-Level Articulated Neural Radiance Fieldcited by 56
  22. 2022AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatarscited by 55
  23. 20244D-DRESS: A 4D Dataset of Real-world Human Clothing with Semantic Annotationscited by 54
  24. 2024HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priorscited by 54
  25. 2021Learning Skeletal Articulations with Neural Blend Shapescited by 53
  26. 2022Learning Implicit Templates for Point-Based Clothed Human Modelingcited by 50
  27. 2021Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wildcited by 48
  28. 2022CAP-UDF: Learning Unsigned Distance Functions Progressively from Raw Point Clouds with Consistency-Aware Field Optimizationcited by 47
  29. 2022PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequencecited by 46
  30. 2022GIFS: Neural Implicit Function for General Shape Representationcited by 45
  31. 20223D Clothed Human Reconstruction in the Wildcited by 42
  32. 2023Single-Image 3D Human Digitization with Shape-Guided Diffusioncited by 42
  33. 2022CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Meshescited by 41
  34. 2022DrapeNet: Garment Generation and Self-Supervised Drapingcited by 41
  35. 2023NeUDF: Leaning Neural Unsigned Distance Fields with Volume Renderingcited by 41
  36. 2021NeuralHumanFVV: Real-Time Neural Volumetric Human Performance Rendering using RGB Camerascited by 40
  37. 2022Registering Explicit to Implicit: Towards High-Fidelity Garment mesh Reconstruction from Single Imagescited by 39
  38. 2021StereoPIFu: Depth Aware Clothed Human Digitization via Stereo Visioncited by 38

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