ROBUSfT: Robust Real-Time Shape-from-Template, a C++ Library
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Abstract (arXiv)
Tracking the 3D shape of a deforming object using only monocular 2D vision is a challenging problem. This is because one should (i) infer the 3D shape from a 2D image, which is a severely underconstrained problem, and (ii) implement the whole solution pipeline in real-time. The pipeline typically requires feature detection and matching, mismatch filtering, 3D shape inference and feature tracking algorithms. We propose ROBUSfT, a conventional pipeline based on a template containing the object's rest shape, texturemap and deformation law. ROBUSfT is ready-to-use, wide-baseline, capable of handling large deformations, fast up to 30 fps, free of training, and robust against partial occlusions and discontinuity in video frames. It outperforms the state-of-the-art methods in challenging datasets. ROBUSfT is implemented as a publicly available C++ library and we provide a tutorial on how to use it in https://github.com/mrshetab/ROBUSfT
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 11 of its 50 references that are in the map. First posted on arXiv 10 Jan 2023.
Builds on
11 of 50 references.
References · 11
- 2019From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimationcited by 379
- 2022NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimationcited by 151
- 2018High Quality Monocular Depth Estimation via Transfer Learningcited by 133
- 2022Attention Attention Everywhere: Monocular Depth Prediction with Skip Attentioncited by 92
- 2019DefSLAM: Tracking and Mapping of Deforming Scenes from Monocular Sequencescited by 36
- 2022State of the Art in Dense Monocular Non-Rigid 3D Reconstructioncited by 30
- 2022φ-SfT: Shape-from-Template with a Physics-Based Deformation Modelcited by 23
- 2019IsMo-GAN: Adversarial Learning for Monocular Non-Rigid 3D Reconstructioncited by 16
- 2018HDM-Net: Monocular Non-Rigid 3D Reconstruction with Learned Deformation Modelcited by 15
- 2018Geometry-Aware Network for Non-Rigid Shape Prediction from a Single Viewcited by 15
- 2017Better Together: Joint Reasoning for Non-rigid 3D Reconstruction with Specularities and Shadingcited by 6
Built on by
Citing papers per year: 2023: 1; 2024: 0; 2025: 4; 2026: 1.
6 papers.
- 2025Shape-from-Template with Generalised Cameracited by 1
- 2023Textureless Deformable Surface Reconstruction with Invisible Markerscited by 0
- 2025Image-Guided Shape-from-Template Using Mesh Inextensibility Constraintscited by 0
- 2025SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Videocited by 0
- 2025Generalizing Shape-from-Template to Topological Changescited by 0
- 2026Patch-based Representation and Learning for Efficient Deformation Modelingcited by 0
- 2026Patch-based Representation and Learning for Efficient Deformation Modeling8 Jan 2026
- 2025Generalizing Shape-from-Template to Topological Changes5 Nov 2025
- 2025SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video10 Sep 2025
- 2025Shape-from-Template with Generalised Camera19 Aug 2025
- 2025Image-Guided Shape-from-Template Using Mesh Inextensibility Constraints30 Jul 2025
- 2023Textureless Deformable Surface Reconstruction with Invisible Markers25 Aug 2023