A global-local latent consistency model with local-enhanced guidance performs fast bone suppression in chest X-rays, running in 8.5 seconds per image while improving quality metrics over diffusion baselines.
In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
GL-LCM: Global-Local Latent Consistency Models for Fast High-Resolution Bone Suppression in Chest X-Ray Images
A global-local latent consistency model with local-enhanced guidance performs fast bone suppression in chest X-rays, running in 8.5 seconds per image while improving quality metrics over diffusion baselines.