Presents the GastroNVS dataset of real gastroscopic images with poses and point cloud, evaluates 3DGS methods on it, and discusses challenges.
Stereo correspondence and reconstruction of endoscopic data challenge
7 Pith papers cite this work. Polarity classification is still indexing.
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EndoVGGT uses a dynamic DeGAT graph attention module to improve depth estimation and non-rigid 3D reconstruction in surgery, reporting 24.6% PSNR and 9.1% SSIM gains on SCARED with zero-shot generalization to new domains.
StereoMamba introduces a Mamba-based architecture with FE-Mamba and MFF modules for real-time stereo disparity estimation in RAMIS, reporting EPE of 2.64 px, depth MAE of 2.55 mm, and 21.28 FPS on the SCARED benchmark with strong zero-shot generalization.
SCARED-C corrects robot-kinematics pose errors in the SCARED dataset via COLMAP structure-from-motion followed by keyframe-based scale recovery, producing 17,135 reliable RGB-D pairs.
Adapting Depth Anything V2 with DV-LORA bridges the ex-vivo to in-vivo gap in monocular depth estimation for specular surgical environments, achieving SOTA on SCARED and superior results on new ROCAL-T 90 dataset.
A survey compiling principles, applications, benchmarks, and challenges of 3D Gaussian Splatting for explicit 3D scene representation.
The paper summarizes results from the SurgToolLoc and SurgVU challenges held at MICCAI conferences from 2022 to 2025.
citing papers explorer
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Gastroendoscopy View Synthesis: A New Real Dataset and Evaluation
Presents the GastroNVS dataset of real gastroscopic images with poses and point cloud, evaluates 3DGS methods on it, and discusses challenges.
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EndoVGGT: GNN-Enhanced Depth Estimation for Surgical 3D Reconstruction
EndoVGGT uses a dynamic DeGAT graph attention module to improve depth estimation and non-rigid 3D reconstruction in surgery, reporting 24.6% PSNR and 9.1% SSIM gains on SCARED with zero-shot generalization to new domains.
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StereoMamba: Real-time and Robust Intraoperative Stereo Disparity Estimation via Long-range Spatial Dependencies
StereoMamba introduces a Mamba-based architecture with FE-Mamba and MFF modules for real-time stereo disparity estimation in RAMIS, reporting EPE of 2.64 px, depth MAE of 2.55 mm, and 21.28 FPS on the SCARED benchmark with strong zero-shot generalization.
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SCARED-C: Corrected Camera Poses for Endoscopic Depth Estimation
SCARED-C corrects robot-kinematics pose errors in the SCARED dataset via COLMAP structure-from-motion followed by keyframe-based scale recovery, producing 17,135 reliable RGB-D pairs.
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Bridging the Ex-Vivo to In-Vivo Gap: Synthetic Priors for Monocular Depth Estimation in Specular Surgical Environments
Adapting Depth Anything V2 with DV-LORA bridges the ex-vivo to in-vivo gap in monocular depth estimation for specular surgical environments, achieving SOTA on SCARED and superior results on new ROCAL-T 90 dataset.
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A Survey on 3D Gaussian Splatting
A survey compiling principles, applications, benchmarks, and challenges of 3D Gaussian Splatting for explicit 3D scene representation.
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Intuitive Surgical SurgToolLoc and SurgVU Challenges Results: 2022-2025
The paper summarizes results from the SurgToolLoc and SurgVU challenges held at MICCAI conferences from 2022 to 2025.