6 papers · 1 filter
StereoMamba: Real-time and Robust Intraoperative Stereo Disparity Estimation via Long-range Spatial Dependencies
Xu Wang, Jialang Xu, Shuai Zhang +3
Stereo disparity estimation is crucial for obtaining depth information in robot-assisted minimally invasive surgery (RAMIS). While current deep learning methods have made significa…
EndoWave: Rational-Wavelet 4D Gaussian Splatting for Endoscopic Reconstruction
Taoyu Wu, Yiyi Miao, Jiaxin Guo +6
In robot-assisted minimally invasive surgery, accurate 3D reconstruction from endoscopic video is vital for downstream tasks and improved outcomes. However, endoscopic scenarios pr…
I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation
Jialei Chen, Wuhao Xu, Sipeng He +2
Vast and high-quality data are essential for end-to-end autonomous driving systems. However, current driving data is mainly collected by vehicles, which is expensive and inefficien…
EndoLRMGS: Complete Endoscopic Scene Reconstruction combining Large Reconstruction Modelling and Gaussian Splatting
Xu Wang, Shuai Zhang, Baoru Huang +2
Complete reconstruction of surgical scenes is crucial for robot-assisted surgery (RAS). Deep depth estimation is promising but existing works struggle with depth discontinuities, r…
SegCol Challenge: Semantic Segmentation for Tools and Fold Edges in Colonoscopy data
Xinwei Ju, Rema Daher, Razvan Caramalau +3
Colorectal cancer (CRC) remains a leading cause of cancer-related deaths worldwide, with polyp removal being an effective early screening method. However, navigating the colon for…
SurgicalGS: Dynamic 3D Gaussian Splatting for Accurate Robotic-Assisted Surgical Scene Reconstruction
Jialei Chen, Xin Zhang, Mobarakol Islam +4
Accurate 3D reconstruction of dynamic surgical scenes from endoscopic video is essential for robotic-assisted surgery. While recent 3D Gaussian Splatting methods have shown promise…