A beta noise schedule, a sinusoidal curriculum, and weighted attention gates improve one-step consistency model training for images and low-dose CT denoising.
Elucidating the design space of diffusion-based generative models
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Enhancing Low Dose Computed Tomography Images Using Consistency Training Techniques
A beta noise schedule, a sinusoidal curriculum, and weighted attention gates improve one-step consistency model training for images and low-dose CT denoising.