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Gaussian Garments: Reconstructing Simulation-Ready Clothing with Photorealistic Appearance from Multi-View Video

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arxiv 2409.08189 v1 pith:RHMNM2KN submitted 2024-09-12 cs.CV cs.GR

Boxiang Rong , Artur Grigorev , Wenbo Wang , Michael J. Black , Bernhard Thomaszewski , Christina Tsalicoglou , Otmar Hilliges This is my paper · ORCID
classification cs.CVcs.GR
keywords garmentsgaussiangarmentmulti-viewfine-tunedreconstructingsimulation-readyvideos
verification ladder T0 review T1 audit T2 compute T3 formal
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We introduce Gaussian Garments, a novel approach for reconstructing realistic simulation-ready garment assets from multi-view videos. Our method represents garments with a combination of a 3D mesh and a Gaussian texture that encodes both the color and high-frequency surface details. This representation enables accurate registration of garment geometries to multi-view videos and helps disentangle albedo textures from lighting effects. Furthermore, we demonstrate how a pre-trained graph neural network (GNN) can be fine-tuned to replicate the real behavior of each garment. The reconstructed Gaussian Garments can be automatically combined into multi-garment outfits and animated with the fine-tuned GNN.

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Forward citations

Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. GeoAvatar: Adaptive Geometrical Gaussian Splatting for 3D Head Avatar

    cs.GR 2025-07 conditional novelty 7.0 of 10

    GeoAvatar improves 3D head avatar quality by adaptively regulating Gaussian offsets per facial region, adding a detailed mouth structure with part-wise deformation, and releasing a new expressive monocular dataset, Dy...

  2. SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video

    cs.CV 2025-09 conditional novelty 6.0 of 10

    A physics-based shape-from-template method with two regularization terms reduces cloth reconstruction error by about 2.6x versus prior work and enables SVBRDF and lighting recovery from monocular video.

  3. Relightable Full-Body Gaussian Codec Avatars

    cs.CV 2025-01 conditional novelty 6.0 of 10

    A full-body 3D avatar model that combines learned zonal-harmonic light transport, a shadow network, and deferred shading for relighting and animation of body, face, and hands.

  4. Fashion-3DLR: A Controllable 3D Garment Generation Using Pairwise Fashion Elements for Intelligent Design

    cs.CV 2026-07 reject novelty 5.0 of 10

    A 3D garment generation framework that fuses sketch and texture conditions via a diffusion transformer, outputting simulation-capable 3D Gaussians and meshes.

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