A Probabilistic Quality Representation Approach to Deep Blind Image
Quality Prediction

A Probabilistic Quality Representation Approach to Deep Blind Image Quality Prediction

28 August 2017

Lei Zhang

Papers citing "A Probabilistic Quality Representation Approach to Deep Blind Image Quality Prediction"

9 / 9 papers shown

Title
Blind Image Quality Assessment via Transformer Predicted Error Map and Perceptual Quality Token Jinsong Shi Pan Gao A. Smolic ViT 26 10 0 16 May 2023
Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild Avinab Saha Sandeep Mishra A. Bovik 30 77 0 02 Apr 2023
Source-free Unsupervised Domain Adaptation for Blind Image Quality Assessment Jianzhao Liu Xin Li Shukun An Zhibo Chen 24 13 0 17 Jul 2022
Image Quality Assessment using Contrastive Learning Pavan C. Madhusudana N. Birkbeck Yilin Wang Balu Adsumilli A. Bovik SSL 16 163 0 25 Oct 2021
MUSIQ: Multi-scale Image Quality Transformer Junjie Ke Qifei Wang Yilin Wang P. Milanfar Feng Yang 177 629 0 12 Aug 2021
MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment Hancheng Zhu Leida Li Jinjian Wu W. Dong Guangming Shi 46 275 0 11 Apr 2020
Learning to Blindly Assess Image Quality in the Laboratory and Wild Weixia Zhang Kede Ma Guangtao Zhai Xiaokang Yang 17 58 0 01 Jul 2019
Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning Kwan-Yee Lin Guanxiang Wang OOD 13 224 0 05 Apr 2018
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 183 2,946 0 15 Dec 2014