mlsanityData to 7 Oct 2026

ROBUSfT: Robust Real-Time Shape-from-Template, a C++ Library

arXiv 2301.04037 ↗First posted 10 Jan 2023cs.CVcited by 6

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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

  1. 2019From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimationcited by 379
  2. 2022NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimationcited by 151
  3. 2018High Quality Monocular Depth Estimation via Transfer Learningcited by 133
  4. 2022Attention Attention Everywhere: Monocular Depth Prediction with Skip Attentioncited by 92
  5. 2019DefSLAM: Tracking and Mapping of Deforming Scenes from Monocular Sequencescited by 36
  6. 2022State of the Art in Dense Monocular Non-Rigid 3D Reconstructioncited by 30
  7. 2022φ-SfT: Shape-from-Template with a Physics-Based Deformation Modelcited by 23
  8. 2019IsMo-GAN: Adversarial Learning for Monocular Non-Rigid 3D Reconstructioncited by 16
  9. 2018HDM-Net: Monocular Non-Rigid 3D Reconstruction with Learned Deformation Modelcited by 15
  10. 2018Geometry-Aware Network for Non-Rigid Shape Prediction from a Single Viewcited by 15
  11. 2017Better Together: Joint Reasoning for Non-rigid 3D Reconstruction with Specularities and Shadingcited by 6

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 0; 2025: 4; 2026: 1.

6 papers.