DECDM: Document Enhancement using Cycle-Consistent Diffusion Models-Reference-Cited by-同舟云学术

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DECDM: Document Enhancement using Cycle-Consistent Diffusion Models

Published:2024-01-03 Issue: Volume:34 Page:8021-8030
ISSN:
Container-title:2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
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Author:

Zhang Jiaxin¹,Rimchala Joy¹,Mouatadid Lalla¹,Das Kamalika¹,Kumar Sricharan¹

Affiliation:

1. Intuit AI Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10483279/10483282/10483958.pdf?arnumber=10483958

Reference48 articles.

1. A survey on deep learning based document image enhancement;Anvari,2021

2. Removing Shadows from Images of Documents

3. ediffi: Text-to-image diffusion models with an ensemble of expert denoisers;Balaji,2022

4. A selectional auto-encoder approach for document image binarization

5. Pre-Trained Image Processing Transformer

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