Diversified Image Inpainting With Transformers and Denoising Iterative Refinement

Diversified Image Inpainting With Transformers and Denoising Iterative Refinement

Image inpainting is a long-standing key problem in the field of computer vision, which aims to fill the missing parts of an image with visually realistic and semantically appropriate content. For a long time, in the research work at home and abroad, how to generate diverse and realistic images is a...

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Bibliographic Details
Main Authors: Shuzhen Xu, Wenlong Xiang, Cuicui Lv, Shuo Wang, Guanhua Liu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Image inpainting
diffusion model
transformer
diversified inpainting results
Online Access:https://ieeexplore.ieee.org/document/10788702/
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https://ieeexplore.ieee.org/document/10788702/

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