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SegDiff: Image Segmentation with Diffusion Probabilistic Models
Diffusion Probabilistic Models are employed for state-of-the-art image generation. In this work, we present a method for extending such models for performing image segmentation. -
Deep Ultrasound Denoising Using Diffusion Probabilistic Models
Noisy ultrasound images were represented as one of the major challenges in medical diagnosis. Regarding that, stemming from denoising diffusion probabilistic models, a denoising... -
DiFace: Cross-Modal Face Recognition through Controlled Diffusion
Diffusion probabilistic models have exhibited exceptional proficiency in generating visual media of outstanding quality and realism. Nonetheless, their potential in...