LLDE: Enhancing Low-Light Images with Diffusion Model-Reference-Cited by-同舟云学术

LLDE: Enhancing Low-Light Images with Diffusion Model

Published:2023-10-08 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Image Processing (ICIP)
language:
Short-container-title:

Author:

Ooi Xin Peng¹,Seng Chan Chee¹

Affiliation:

1. Universiti Malaya,CISiP, Faculty of Comp. Sci. and Info. Tech.,Kuala Lumpur,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10221937/10221892/10222446.pdf?arnumber=10222446

Reference23 articles.

1. Diffusion models beat gans on image synthesis;dhariwal;Advances in neural information processing systems,2021

2. Improved de-noising diffusion probabilistic models;nichol;CoRR,2021

3. Restoring vision in adverse weather conditions with patch-based de-noising diffusion models;özdenizci;IEEE Transactions on Pattern Analysis and Machine Intelligence,2023

4. Image Super-Resolution Via Iterative Refinement

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancements in low light image enhancement techniques and recent applications;Journal of Visual Communication and Image Representation;2024-08

2. A Study on the Application of Using Hypernetwork and Low Rank Adaptation for Text-to-Image Generation Based on Diffusion Models;2024 6th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE);2024-02-29

3. Low Light Image Enhancement Based on Retinex Theory and Diffusion Model;Proceedings of the 2024 8th International Conference on Digital Signal Processing;2024-02-23

4. A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends;IEEE Access;2024