LRT: An Efficient Low-Light Restoration Transformer for Dark Light Field Images
Author:
Affiliation:
1. Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, SAR, China
2. Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
Funder
Research Grants Council of Hong Kong
ACCESS—AI Chip Center for Emerging Smart Systems, Hong Kong, SAR
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Graphics and Computer-Aided Design,Software
Link
http://xplorestaging.ieee.org/ielx7/83/9991910/10194557.pdf?arnumber=10194557
Reference52 articles.
1. Fast and Efficient Restoration of Extremely Dark Light Fields
2. Harnessing Multi-View Perspective of Light Fields for Low-Light Imaging
3. Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
4. Underexposed Photo Enhancement Using Deep Illumination Estimation
5. Practical Deep Raw Image Denoising on Mobile Devices
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