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<p align="center">
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<h1 align="center">Physics-guided Shape-from-Template: <br> Monocular Video Perception through Neural Surrogate Models</h1>
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<h3 align="center"> David Stotko 路 Nils Wandel 路 Reinhard Klein <br> University of Bonn </h3>
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<h3 align="center">CVPR 2024</h3>
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<h3 align="center"> <a href="https://openaccess.thecvf.com/content/CVPR2024/html/Stotko_Physics-guided_Shape-from-Template_Monocular_Video_Perception_through_Neural_Surrogate_Models_CVPR_2024_paper.html">CVPR Paper</a> | <a href="https://cg.cs.uni-bonn.de/publication/stotko2024-Physics-guided-SfT">Project Page</a> | <a href="https://github.com/DavidStotko/Physics-guided-Shape-from-Template">GitHub</a> | <a href="https://www.youtube.com/watch?v=o0qs_oip7F4">Video</a> | <a href="https://arxiv.org/abs/2311.12796">arXiv</a> </h3>
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<div align="center"></div>
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</p>
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This repository contains the model used in the paper "Physics-guided Shape-from-Template: Monocular Video Perception through Neural Surrogate Models".
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## Usage
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You can use this model by cloning the <a href="https://github.com/DavidStotko/Physics-guided-Shape-from-Template">GitHub</a> repository and copying this model into the deepest subdirectory of ```./code./logger```.
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Look at the GitHub repository for information on how to run the code.
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## License
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This software is provided under MIT license.
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