ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2403.02408
  4. Cited By
A Spatio-temporal Aligned SUNet Model for Low-light Video Enhancement

A Spatio-temporal Aligned SUNet Model for Low-light Video Enhancement

4 March 2024
Ruirui Lin
Nantheera Anantrasirichai
A. Malyugina
David Bull
ArXivPDFHTML

Papers citing "A Spatio-temporal Aligned SUNet Model for Low-light Video Enhancement"

6 / 6 papers shown
Title
A review of advancements in low-light image enhancement using deep learning
A review of advancements in low-light image enhancement using deep learning
Fangxue Liu
Lei Fan
34
0
0
09 May 2025
A Comprehensive Study of Object Tracking in Low-Light Environments
A Comprehensive Study of Object Tracking in Low-Light Environments
Anqi Yi
Nantheera Anantrasirichai
16
8
0
25 Dec 2023
SUNet: Swin Transformer UNet for Image Denoising
SUNet: Swin Transformer UNet for Image Denoising
Chi-Mao Fan
Tsung-Jung Liu
Kuan-Hsien Liu
ViT
22
111
0
28 Feb 2022
Learning to See in the Dark
Learning to See in the Dark
Cheng Chen
Qifeng Chen
Jia Xu
V. Koltun
168
1,157
0
04 May 2018
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
177
5,138
0
16 Sep 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
1