DepthPilot: Interpretable Colonoscopy Video Generation Framework
DepthPilot represents the inaugural interpretable framework for generating colonoscopy videos, as detailed in arXiv paper 2604.26232. This framework tackles the interpretability challenges associated with controllable medical video generation by ensuring that the produced content corresponds with physical principles and clinical signs. It employs two complementary approaches: a prior distribution alignment method that incorporates depth constraints into the diffusion backbone through efficient parameter fine-tuning for anatomical accuracy, and an adaptive spline denoising component that substitutes static linear weights with adaptable spline functions to effectively model intricate spatio-temporal dynamics. Comprehensive assessments highlight its efficacy.
Key facts
- DepthPilot is the first interpretable framework for colonoscopy video generation.
- It aligns generated content with physical priors and clinical manifestations.
- It uses a prior distribution alignment strategy for explicit geometric grounding.
- Depth constraints are injected into the diffusion backbone via parameter-efficient fine-tuning.
- An adaptive spline denoising module replaces fixed linear weights with learnable spline functions.
- The framework captures complex spatio-temporal dynamics.
- The paper is from arXiv with ID 2604.26232.
- The work aims for trustworthy generation.
Entities
Institutions
- arXiv