mlsanityData to 14 Oct 2026

GGAvatar: Reconstructing Garment-Separated 3D Gaussian Splatting Avatars from Monocular Video

arXiv 2411.09952 ↗First posted 15 Nov 2024cs.CV cs.AI cs.MMcited by 4

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Abstract (arXiv)

Avatar modelling has broad applications in human animation and virtual try-ons. Recent advancements in this field have focused on high-quality and comprehensive human reconstruction but often overlook the separation of clothing from the body. To bridge this gap, this paper introduces GGAvatar (Garment-separated 3D Gaussian Splatting Avatar), which relies on monocular videos. Through advanced parameterized templates and unique phased training, this model effectively achieves decoupled, editable, and realistic reconstruction of clothed humans. Comparative evaluations with other costly models confirm GGAvatar's superior quality and efficiency in modelling both clothed humans and separable garments. The paper also showcases applications in clothing editing, as illustrated in Figure 1, highlighting the model's benefits and the advantages of effective disentanglement. The code is available at https://github.com/J-X-Chen/GGAvatar/.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 29 of its 44 references that are in the map. First posted on arXiv 15 Nov 2024.

Builds on

29 of 44 references.

References · 29

  1. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,177
  2. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
  3. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,723
  4. 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,613
  5. 2019Expressive Body Capture: 3D Hands, Face, and Body from a Single Imagecited by 1,612
  6. 2023Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesiscited by 737
  7. 2020Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humanscited by 634
  8. 2022HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Videocited by 483
  9. 2020STAR: Sparse Trained Articulated Human Body Regressorcited by 194
  10. 2023GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussianscited by 191
  11. 2019Self-Correction for Human Parsingcited by 180
  12. 2021FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via Regression and Integrationcited by 169
17 more
  1. 2023GauHuman: Articulated Gaussian Splatting from Monocular Human Videoscited by 168
  2. 2021SMPLicit: Topology-aware Generative Model for Clothed Peoplecited by 155
  3. 2022InstantAvatar: Learning Avatars from Monocular Video in 60 Secondscited by 138
  4. 2020BCNet: Learning Body and Cloth Shape from A Single Imagecited by 120
  5. 2018Detailed Human Avatars from Monocular Videocited by 109
  6. 2021Animatable Neural Radiance Fields from Monocular RGB Videoscited by 109
  7. 2022Capturing and Animation of Body and Clothing from Monocular Videocited by 83
  8. 2023Learning Neural Volumetric Representations of Dynamic Humans in Minutescited by 70
  9. 2021Modeling Clothing as a Separate Layer for an Animatable Human Avatarcited by 66
  10. 2022Fast-SNARF: A Fast Deformer for Articulated Neural Fieldscited by 55
  11. 2024PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observationscited by 51
  12. 2022DrapeNet: Garment Generation and Self-Supervised Drapingcited by 41
  13. 2023ISP: Multi-Layered Garment Draping with Implicit Sewing Patternscited by 32
  14. 2022DIG: Draping Implicit Garment over the Human Bodycited by 26
  15. 2023S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fieldscited by 25
  16. 2024LayGA: Layered Gaussian Avatars for Animatable Clothing Transfercited by 22
  17. 2024GALA: Generating Animatable Layered Assets from a Single Scancited by 21

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 2; 2026: 2.

4 papers.

  1. 2025A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generationcited by 19
  2. 2025VGNC: Reducing the Overfitting of Sparse-view 3DGS via Validation-guided Gaussian Number Controlcited by 3
  3. 2026Information-Regularized Constrained Inversion for Stable Avatar Editing from Sparse Supervisioncited by 0
  4. 2026AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalizationcited by 0