Summary of Stmpl: Human Soft-tissue Simulation, by Anton Agafonov and Lihi Zelnik-manor
STMPL: Human Soft-Tissue Simulation
by Anton Agafonov, Lihi Zelnik-Manor
First submitted to arxiv on: 13 Mar 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Graphics (cs.GR); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel data-driven simulator is proposed for simulating the deformation of soft tissues in the human body during interactions with external objects, enabling rapid and realistic simulations. The unified representation combines human body shape and soft tissue dynamics, leveraging Finite Element Methods (FEM) to improve computation efficiency. This approach has potential applications in virtual reality, gaming, and other fields where accurate simulation is crucial. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper proposes a new way to simulate how the human body changes shape when we interact with things outside our bodies, like in video games or virtual reality. It’s fast and works well, making it useful for lots of different applications. |
