FLex: Joint Pose and Dynamic Radiance Fields Optimization for Stereo Endoscopic Videos

arXiv:2403.12198 · cs.CV, cs.GR, cs.LG · Submitted 2024-03-18 · Read on arXiv

cs.CV, cs.GR, cs.LG

Submitted: 2024-03-18

Updated: 2024-03-18

DOI: 10.1007/s11548-025-03446-6

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Optical Flow — 9× in this paper · explained in 2 episodes
• Accuracy — 8× in this paper · explained in 1 episode
• Ablation — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Point Clouds — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes

Sources

• NR-SLAM: Non-Rigid Monocular SLAM
• BASED: Bundle-Adjusting Surgical Endoscopic Dynamic Video Reconstruction using Neural Radiance Fields
• Very Deep Convolutional Networks for Large-Scale Image Recognition
• NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
• NeRF--: Neural Radiance Fields Without Known Camera Parameters
• Efficient Deformable Tissue Reconstruction via Orthogonal Neural Plane
• Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues

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