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. 1906.04334
  4. Cited By
FAMED-Net: A Fast and Accurate Multi-scale End-to-end Dehazing Network

FAMED-Net: A Fast and Accurate Multi-scale End-to-end Dehazing Network

11 June 2019
Jing Zhang
Dacheng Tao
ArXivPDFHTML

Papers citing "FAMED-Net: A Fast and Accurate Multi-scale End-to-end Dehazing Network"

5 / 5 papers shown
Title
WaveDH: Wavelet Sub-bands Guided ConvNet for Efficient Image Dehazing
WaveDH: Wavelet Sub-bands Guided ConvNet for Efficient Image Dehazing
Seongmin Hwang
Daeyoung Han
Cheolkon Jung
Moongu Jeon
70
5
0
20 Jan 2025
Harmonizing Light and Darkness: A Symphony of Prior-guided Data
  Synthesis and Adaptive Focus for Nighttime Flare Removal
Harmonizing Light and Darkness: A Symphony of Prior-guided Data Synthesis and Adaptive Focus for Nighttime Flare Removal
Lishen Qu
Shihao Zhou
Jinshan Pan
Jinglei Shi
Duosheng Chen
Jufeng Yang
41
1
0
30 Mar 2024
Rich Feature Distillation with Feature Affinity Module for Efficient
  Image Dehazing
Rich Feature Distillation with Feature Affinity Module for Efficient Image Dehazing
S. J.
Anushri Suresh
Nisha J.S.
V. Gopi
VLM
8
6
0
13 Jul 2022
Nighttime Dehazing with a Synthetic Benchmark
Nighttime Dehazing with a Synthetic Benchmark
Jing Zhang
Yang Cao
Zhengjun Zha
Dacheng Tao
20
112
0
10 Aug 2020
DehazeNet: An End-to-End System for Single Image Haze Removal
DehazeNet: An End-to-End System for Single Image Haze Removal
Bolun Cai
Xiangmin Xu
K. Jia
Chunmei Qing
Dacheng Tao
117
2,388
0
28 Jan 2016
1