Cloth-Splatting: 3D Cloth State Estimation from RGB Supervision
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Abstract (arXiv)
We introduce Cloth-Splatting, a method for estimating 3D states of cloth from RGB images through a prediction-update framework. Cloth-Splatting leverages an action-conditioned dynamics model for predicting future states and uses 3D Gaussian Splatting to update the predicted states. Our key insight is that coupling a 3D mesh-based representation with Gaussian Splatting allows us to define a differentiable map between the cloth state space and the image space. This enables the use of gradient-based optimization techniques to refine inaccurate state estimates using only RGB supervision. Our experiments demonstrate that Cloth-Splatting not only improves state estimation accuracy over current baselines but also reduces convergence time.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 56 of its 68 references that are in the map. First posted on arXiv 3 Jan 2025.
Builds on
56 of 68 references.
References · 56
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- 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,141
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38 more
- 2023PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamicscited by 368
- 2023PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Trackingcited by 274
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- 2021SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networkscited by 181
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- 2020BCNet: Learning Body and Cloth Shape from A Single Imagecited by 118
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- 2024GaMeS: Mesh-Based Adapting and Modification of Gaussian Splattingcited by 69
- 2021Deep Regression on Manifolds: A 3D Rotation Case Studycited by 67
- 2021Learning Visible Connectivity Dynamics for Cloth Smoothingcited by 61
- 2020DeepCloth: Neural Garment Representation for Shape and Style Editingcited by 54
- 2022SpeedFolding: Learning Efficient Bimanual Folding of Garmentscited by 51
- 2019Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisorcited by 44
- 2021Challenges and Outlook in Robotic Manipulation of Deformable Objectscited by 43
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- 2021GarmentNets: Category-Level Pose Estimation for Garments via Canonical Space Shape Completioncited by 41
- 2022Mesh-based Dynamics with Occlusion Reasoning for Cloth Manipulationcited by 32
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- 2024Mesh-based Gaussian Splatting for Real-time Large-scale Deformationcited by 28
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- 2022DextAIRity: Deformable Manipulation Can be a Breezecited by 17
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- 2021Learning Visual Feedback Control for Dynamic Cloth Foldingcited by 10
- 2022EDO-Net: Learning Elastic Properties of Deformable Objects from Graph Dynamicscited by 10
50 most cited of 56 All 56 (JSON)
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Citing papers per year: 2025: 3; 2026: 4.
7 papers.
- 2025Real-is-Sim: Bridging the Sim-to-Real Gap with a Dynamic Digital Twincited by 11
- 2025Thin-Shell-SfT: Fine-Grained Monocular Non-rigid 3D Surface Tracking with Neural Deformation Fieldscited by 3
- 20263D Point World Models: Point Completion Enables More Accurate Dynamics Learningcited by 1
- 2026PhysCoRe: Physics-Corrected Residual World Models for Material-Aware Deformable Dynamicscited by 1
- 2025DLO-Splatting: Tracking Deformable Linear Objects Using 3D Gaussian Splattingcited by 0
- 2026CloDS: Visual-Only Unsupervised Cloth Dynamics Learning in Unknown Conditionscited by 0
- 2026MeshPriorDiT: Hierarchical Modeling for Action-Conditioned Cloth Dynamicscited by 0
- 2026MeshPriorDiT: Hierarchical Modeling for Action-Conditioned Cloth Dynamics27 Aug 2026
- 2026PhysCoRe: Physics-Corrected Residual World Models for Material-Aware Deformable Dynamics22 Jul 2026
- 20263D Point World Models: Point Completion Enables More Accurate Dynamics Learning30 Jun 2026
- 2026CloDS: Visual-Only Unsupervised Cloth Dynamics Learning in Unknown Conditions2 Feb 2026
- 2025DLO-Splatting: Tracking Deformable Linear Objects Using 3D Gaussian Splatting13 May 2025
- 2025Real-is-Sim: Bridging the Sim-to-Real Gap with a Dynamic Digital Twin4 Apr 2025
- 2025Thin-Shell-SfT: Fine-Grained Monocular Non-rigid 3D Surface Tracking with Neural Deformation Fields25 Mar 2025