Egosurg: Arbitrary view synthesis for egocentric replay of operating room workflows from ambient cameras

arXiv:2510.04802 · cs.CV, cs.AI · Submitted 2025-10-06 · Read on arXiv

cs.CV, cs.AI

Submitted: 2025-10-06

Updated: 2026-08-27

Terminology

• Fidelity — 35× in this paper · explained in 2 episodes
• Consistency — 16× in this paper · explained in 3 episodes
• Operating Room — 15× in this paper
• Diffusion Model — 8× in this paper · explained in 8 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• Calibration — 5× in this paper · explained in 7 episodes
• 3D Gaussian Splatting — 4× in this paper · explained in 2 episodes
• Digital Twin — 4× in this paper · explained in 4 episodes
• Gaussian Splatting — 4× in this paper · explained in 4 episodes
• Core — 3× in this paper · explained in 2 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Temporal consistency — 3× in this paper · explained in 2 episodes
• Diffusion Models — 2× in this paper · explained in 6 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Cognitive Load — 1× in this paper · explained in 2 episodes
• Contextual Understanding — 1× in this paper · explained in 2 episodes
• D Gaussian Splatting — 1× in this paper
• Diffusion Process — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Gaussian Splatting (GS) — 1× in this paper · explained in 3 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Hopkins Ambient Learning and Optimization — 1× in this paper
• Point of View — 1× in this paper
• Pruning — 1× in this paper · explained in 4 episodes

Sources

• Privacy-Preserving Operating Room Workflow Analysis using Digital Twins
• EgoExOR: An Ego-Exo-Centric Operating Room Dataset for Surgical Activity Understanding
• NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
• Towards Robust Surgical Automation via Digital Twin Representations from Foundation Models
• Taming Video Diffusion Prior with Scene-Grounding Guidance for 3D Gaussian Splatting from Sparse Inputs
• Difix3D+: Improving 3D Reconstructions with Single-Step Diffusion Models
• Adversarial Diffusion Distillation

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