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. 2408.08091
  4. Cited By
HAIR: Hypernetworks-based All-in-One Image Restoration

HAIR: Hypernetworks-based All-in-One Image Restoration

15 August 2024
Jin Cao
Yi Cao
Li Pang
Deyu Meng
Xiangyong Cao
    3DH
ArXivPDFHTML

Papers citing "HAIR: Hypernetworks-based All-in-One Image Restoration"

9 / 9 papers shown
Title
Learning Physics-Informed Color-Aware Transforms for Low-Light Image Enhancement
Learning Physics-Informed Color-Aware Transforms for Low-Light Image Enhancement
Xingxing Yang
Jie Chen
Zaifeng Yang
32
0
0
16 Apr 2025
Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networks
Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networks
Haijin Zeng
Xiangming Wang
Yongyong Chen
Jingyong Su
Jie Liu
59
0
0
21 Mar 2025
MP-HSIR: A Multi-Prompt Framework for Universal Hyperspectral Image Restoration
Zhehui Wu
Yong Chen
Naoto Yokoya
Wei He
47
0
0
12 Mar 2025
UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper Granularity
UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper Granularity
Jingbo Lin
Zhilu Zhang
W. J. Li
Renjing Pei
Hang Xu
Hongzhi Zhang
Wangmeng Zuo
32
0
0
28 Dec 2024
Mixed Degradation Image Restoration via Local Dynamic Optimization and
  Conditional Embedding
Mixed Degradation Image Restoration via Local Dynamic Optimization and Conditional Embedding
Yubin Gu
Yuan Meng
Xiaoshuai Sun
Jiayi Ji
Weijian Ruan
Rongrong Ji
DiffM
64
0
0
25 Nov 2024
A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and
  Future Trends
A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends
Junjun Jiang
Zengyuan Zuo
Gang Wu
Kui Jiang
Xianming Liu
43
10
0
19 Oct 2024
Chain-of-Restoration: Multi-Task Image Restoration Models are Zero-Shot
  Step-by-Step Universal Image Restorers
Chain-of-Restoration: Multi-Task Image Restoration Models are Zero-Shot Step-by-Step Universal Image Restorers
Jin Cao
Deyu Meng
Xiangyong Cao
CLL
16
1
0
11 Oct 2024
CycleISP: Real Image Restoration via Improved Data Synthesis
CycleISP: Real Image Restoration via Improved Data Synthesis
Syed Waqas Zamir
Aditya Arora
Salman Khan
Munawar Hayat
F. Khan
Ming-Hsuan Yang
Ling Shao
DiffM
105
334
0
17 Mar 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