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. 2312.15300
  4. Cited By
Q-Boost: On Visual Quality Assessment Ability of Low-level
  Multi-Modality Foundation Models

Q-Boost: On Visual Quality Assessment Ability of Low-level Multi-Modality Foundation Models

23 December 2023
Zicheng Zhang
Haoning Wu
Zhongpeng Ji
Chunyi Li
Erli Zhang
Wei Sun
Xiaohong Liu
Xiongkuo Min
Fengyu Sun
Shangling Jui
Weisi Lin
Guangtao Zhai
ArXivPDFHTML

Papers citing "Q-Boost: On Visual Quality Assessment Ability of Low-level Multi-Modality Foundation Models"

5 / 5 papers shown
Title
mPLUG-Owl: Modularization Empowers Large Language Models with
  Multimodality
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality
Qinghao Ye
Haiyang Xu
Guohai Xu
Jiabo Ye
Ming Yan
...
Junfeng Tian
Qiang Qi
Ji Zhang
Feiyan Huang
Jingren Zhou
VLM
MLLM
265
945
0
27 Apr 2023
UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated
  Content
UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content
Zhengzhong Tu
Yilin Wang
Neil Birkbeck
Balu Adsumilli
A. Bovik
42
258
0
29 May 2020
KonIQ-10k: An ecologically valid database for deep learning of blind
  image quality assessment
KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment
Vlad Hosu
Hanhe Lin
T. Szirányi
Dietmar Saupe
102
564
0
14 Oct 2019
Quality Assessment of In-the-Wild Videos
Quality Assessment of In-the-Wild Videos
Dingquan Li
Tingting Jiang
Ming Jiang
43
298
0
01 Aug 2019
Blind Image Quality Assessment Using A Deep Bilinear Convolutional
  Neural Network
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
Weixia Zhang
Kede Ma
Jia Yan
Dexiang Deng
Zhou Wang
81
659
0
05 Jul 2019
1