EndoMUST improves self-supervised monocular depth in endoscopy with a three-step training schedule that separates optical flow, intrinsic image decomposition, and DV-LoRA finetuning.
Dual cnn models for unsupervised monocular depth estimation,
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EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training
EndoMUST improves self-supervised monocular depth in endoscopy with a three-step training schedule that separates optical flow, intrinsic image decomposition, and DV-LoRA finetuning.