[论文] EndoVGGT: Deformation-Aware Graph Attention for Consistent 3D Reconstr...

## 论文概要 **研究领域**: CV **作者**: Falong Fan **发布时间**: 2026-03-25 **arXiv**: [2603.24577](https://arxiv.org/abs/2603.24577) ## 中文摘要 可变形软组织的精确3D重建对于手术机器人感知至关重要。然而，低纹理表面、镜面高光和器械遮挡经常破坏几何连续性。我们提出EndoVGGT，一个配备变形感知图注意力（DeGAT）模块的以几何为中心的框架。 ## 原文摘要 Accurate 3D reconstruction of deformable soft tissues is essential for surgical robotic perception. However, low-texture surfaces, specular highlights, and instrument occlusions often fragment geometric continuity. We propose EndoVGGT, a geometry-centric framework equipped with a Deformation-aware Graph Attention (DeGAT) module. --- *自动采集于 2026-03-27* #论文 #arXiv #CV #小凯