Diff2DGS: Reliable Reconstruction of Occluded Surgical Scenes via 2D Gaussian Splatting
- 1 October 2026
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Robotics and Automation Letters
- Vol. 11 (10) , 11251-11258
Abstract
No abstract availableAll Related Versions
Funding Information
- EPSRC Optical and Acoustic imaging for Surgical and Interventional Sciences (UKRI145)
- Dipartimento di Scienze, Università degli Studi Roma Tre
- Innovation and Technology
- EPSRC HuMIRoS (EP/Z534754/1)
- UCL Centre for Digital Innovation
This publication has 31 references indexed in Scilit:
- SurgicalGS: Dynamic 3D Gaussian Splatting for Accurate Robotic-Assisted Surgical Scene Reconstruction2025
- Deform3DGS: Flexible Deformation for Fast Surgical Scene Reconstruction with Gaussian Splatting2024
- Efficient EndoNeRF reconstruction and its application for data-driven surgical simulationInternational Journal of Computer Assisted Radiology and Surgery, 2024
- EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos2023
- Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues2023
- Learning how to robustly estimate camera pose in endoscopic videosInternational Journal of Computer Assisted Radiology and Surgery, 2023
- Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery2022
- PyTorch2021
- RAFT: Recurrent All-Pairs Field Transforms for Optical Flow2020
- Augmented reality technology for preoperative planning and intraoperative navigation during hepatobiliary surgery: A review of current methodsHepatobiliary & Pancreatic Diseases International, 2018