A conditional diffusion model with a per-timestep discriminator, spatial attention, and latent embedding reports state-of-the-art accuracy on three medical segmentation datasets using only 2 to 4 diffusion steps.
& Ommer, B.: High-resolution image synthesis with latent diffusion models.Proceedings Of The IEEE/CVF Con- ference 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
-
Conditional diffusion model with spatial attention and latent embedding for medical image segmentation
A conditional diffusion model with a per-timestep discriminator, spatial attention, and latent embedding reports state-of-the-art accuracy on three medical segmentation datasets using only 2 to 4 diffusion steps.