May 3, 2024, 4:58 a.m. | Zhenya Yang, Kai Chen, Yonghao Long, Qi Dou

cs.CV updates on arXiv.org arxiv.org

arXiv:2405.00956v1 Announce Type: cross
Abstract: Surgical scene simulation plays a crucial role in surgical education and simulator-based robot learning. Traditional approaches for creating these environments with surgical scene involve a labor-intensive process where designers hand-craft tissues models with textures and geometries for soft body simulations. This manual approach is not only time-consuming but also limited in the scalability and realism. In contrast, data-driven simulation offers a compelling alternative. It has the potential to automatically reconstruct 3D surgical scenes from real-world …

abstract arxiv craft cs.cv cs.gr cs.ro data data-driven designers education embedded environments labor physics process robot robotic robotic surgery role simulation simulations simulator surgery type via videos

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