Aug 2026· Health Information Science and Systems· Vol 14· 0 citations· 36 references
Medicine
TL;DR
An end-to-end SurgFM-SLAM framework for surgical scene reconstruction is developed by exploring geometric representation priors of pretrained 3D foundation models (FMs) and SLAM and embedding SurgFM into the SLAM backend to construct SurgFM-SLAM to perform robust surgical scene reconstruction in an end-to-end manner, including tracking, mapping, and relocalization.
Through the first systematic study of TTA for dense depth regression (eight baselines), it is shown that existing TTA methods consistently fail in this setting: entropy-based methods degrade regardless of the number of adapted parameters, and temporal-photometric adaptation diverges on non-rigid tissue.
Sheng-Yao Wang, Jun-Pei Xue, Xin Zhong et al.· IEEE Transactions on Medical...· 1 citation
This work presents a dynamic GS-SLAM framework specifically tailored for endoscopic environments that reuses deformation information to construct a motion mask, which mitigates the influence of locally dynamic tissues on camera tracking and reduces unnecessary backpropagation during optimization.
Rongqi Wang, Jin-Gang Zhang, Zhi-Liang Yan et al.· Medical Image Analysis· 0 citations
Zebra3D, a layerwise sparse-linear hybrid attention framework that improves the efficiency of pretrained 3D foundation models without training from scratch, achieves strong reconstruction and camera-pose accuracy at high attention sparsity, with training-free variants remaining close to their dense counterparts.
Utkarsh Saxena, Rui-Jing Yang, Mehdi Rezagholizadeh et al.· 0 citations
4D scene reconstruction aims to recover the evolving geometry, appearance, and motion of dynamic environments from visual observations. Despite substantial progress in neural scene representations, reconstructing dynamic scenes remains challenging due to non-rigid motion, occlusions, temporal inconsistencies, and the t...
Zi-Ren Gong, Guo Chen, Yong-Jian Li et al.· 1 citation
This work proposes LightSplat, a hybrid-representation RGB-D SLAM framework that synergizes local sparse features for robust and fast tracking with a dual-thread backend that progressively constructs dense Gaussian submaps, and achieves the online reconstruction of high-fidelity Gaussian map.
MV-dVRK is presented, the first ex-vivo surgical dataset to combine multiple exposure-synchronized stereo viewpoints with accurate surface geometry and camera poses, and used to systematically compare zero-shot monocular, stereo, multi-stereo, and multi-view 3D reconstruction methods as the number of viewpoints increas...
Guido Caccianiga, S. Prokudin, Yutong Chen et al.· 0 citations
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