Learning Generalizable Perceptual Representations for Data-Efficient No-Reference Image Quality Assessment

8 December 2023

Papers citing "Learning Generalizable Perceptual Representations for Data-Efficient No-Reference Image Quality Assessment"

7 / 7 papers shown

Title
Dog-IQA: Standard-guided Zero-shot MLLM for Mix-grained Image Quality Assessment Kai Liu Ziqing Zhang Wenbo Li Renjing Pei Fenglong Song Xiaohong Liu Linghe Kong Yulun Zhang VLM 31 1 0 03 Oct 2024
Vision Language Modeling of Content, Distortion and Appearance for Image Quality Assessment Fei Zhou Zhicong Huang Tianhao Gu Guoping Qiu CoGe VLM 51 1 0 14 Jun 2024
GenzIQA: Generalized Image Quality Assessment using Prompt-Guided Latent Diffusion Models Diptanu De Shankhanil Mitra R. Soundararajan 39 2 0 07 Jun 2024
UniQA: Unified Vision-Language Pre-training for Image Quality and Aesthetic Assessment Hantao Zhou Longxiang Tang Rui Yang Guanyi Qin Yan Zhang Runze Hu Xiu Li 29 5 0 03 Jun 2024
FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling Haoning Wu Chaofeng Chen Jingwen Hou Liang Liao Annan Wang Wenxiu Sun Qiong Yan Weisi Lin 68 168 0 06 Jul 2022
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning Yifan Zhang Bryan Hooi Dapeng Hu Jian Liang Jiashi Feng 71 64 0 12 Feb 2021
Transformer for Image Quality Assessment Junyong You J. Korhonen ViT 129 181 0 30 Dec 2020