An Improved Face Image Restoration Method Based on Denoising Diffusion Probabilistic Models

An Improved Face Image Restoration Method Based on Denoising Diffusion Probabilistic Models

Image restoration is a crucial task in computer vision, aiming to fill in missing areas within an image to restore its integrity. Traditional methods fall short when dealing with intricate facial image restoration, often failing to produce high-quality results. Denoising Diffusion Probabilistic Mode...

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Bibliographic Details
Main Authors: Yun Pang, Jiawei Mao, Libo He, Hong Lin, Zhenping Qiang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Face image restoration
DDPM
progressive sampling
sampling scheduling
Online Access:https://ieeexplore.ieee.org/document/10379810/

Internet

https://ieeexplore.ieee.org/document/10379810/

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