KTH-RPL/cloth-splatting
Repository for the CoRL 2024 paper: Cloth-Splatting: 3D Cloth State Estimation from RGB Supervision.
This project helps robotics engineers and researchers precisely track the 3D shape and movement of cloth or other deformable objects from standard camera footage. By feeding in RGB video of a cloth object, it outputs a detailed 3D model that accurately captures its real-time state, including folds and wrinkles. It is ideal for those working with robot manipulation of textiles, soft robotics, or virtual garment design.
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Use this if you need to understand and quantify the precise 3D configuration of flexible materials like fabric based solely on regular video input.
Not ideal if your application focuses on rigid object tracking or if you require real-time performance on embedded systems with limited computational resources.
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Language
Python
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Last pushed
Nov 27, 2024
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