Alternatives and similar repositories for MUSIQ:

Users that are interested in MUSIQ are comparing it to the libraries listed below

• pavancm / CONTRIQUE
  Official implementation for "Image Quality Assessment using Contrastive Learning"
  ☆129Updated 10 months ago
• isalirezag / TReS
  No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency
  ☆156Updated 2 years ago
• avinabsaha / ReIQA
  Official implementation for CVPR2023 Paper "Re-IQA : Unsupervised Learning for Image Quality Assessment in the Wild"
  ☆105Updated last year
• anse3832 / IQT
  Unofficial implementation of CVPR2021 paper "Perceptual Image Quality Assessment with Transformers"
  ☆70Updated 3 years ago
• IIGROUP / AHIQ
  [CVPRW 2022] Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network
  ☆83Updated 2 years ago
• zwx8981 / LIQE
  [CVPR2023] Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective
  ☆215Updated 3 months ago
• HaomingCai / PIPAL-dataset
  [ Official ] - PIPAL Dataset and Training Codebase. ECCV-2020, NTIRE-21/22.
  ☆76Updated 3 years ago
• weizhou-geek / Recent-Image-Quality-Related-Papers
  A list of image quality related papers published in top conferences and journals
  ☆118Updated last year
• miccunifi / ARNIQA
  [WACV 2024 Oral] - ARNIQA: Learning Distortion Manifold for Image Quality Assessment
  ☆135Updated last month
• SSL92 / koniqplusplus
  ☆20Updated 5 months ago
• DXOMARK-Research / PIQ2023
  ☆100Updated last year
• icbcbicc / IQA-Dataset
  A unified interface for downloading and loading popular Image Quality Assessment (IQA) datasets.
  ☆126Updated 6 months ago
• zwx8981 / BIQA_CL
  [TPAMI2023] Continual Learning for Blind Image Quality Assessment
  ☆49Updated last year
• researchmm / CKDN
  [ICCV'21] CKDN: Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment
  ☆58Updated 3 years ago
• NUIST-Videocoding / VCRNet
  Code for VCRNet: Visual Compensation Restoration Network for No-Reference Image Quality Assessment
  ☆21Updated 2 years ago
• sunwei925 / StairIQA
  Blind Quality Assessment for in-the-Wild Images via Hierarchical Feature Fusion and Iterative Mixed Database Training
  ☆30Updated last year
• geekyutao / GraphIQA
  GraphIQA: Learning Distortion Graph Representations for Blind Image Quality Assessment
  ☆43Updated 2 years ago
• IIGROUP / RADN
  [CVPRW 2021] Codes for Region-Adaptive Deformable Network for Image Quality Assessment
  ☆63Updated 3 years ago
• IIGROUP / MANIQA
  [CVPRW 2022] MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment
  ☆352Updated last year
• narthchin / DEIQT
  Checkpoints, logs and source code for AAAI-23 paper 'Data-Efficient Image Quality Assessment with Attention-Panel Decoder'
  ☆39Updated last year
• guanghaoyin / CVRKD-IQA
  Pytorch code for our AAAI2022 Oral paper "Content-Variant Reference Image Quality Assessment via Knowledge Distillation"
  ☆56Updated 3 years ago
• junyongyou / triq
  TRIQ implementation
  ☆137Updated 2 years ago
• IceClear / IL-NIQE
  Python implement for IL-NIQE (A Feature-Enriched Completely Blind Image Quality Evaluator).
  ☆37Updated 3 years ago
• Hedlen / SAM-IQA
  An effective image quality assessment framework combining Segment Anything (SAM). This is the official implementation of our paper.
  ☆24Updated last year
• miccunifi / QualiCLIP
  Quality-Aware Image-Text Alignment for Opinion-Unaware Image Quality Assessment
  ☆91Updated last month
• niu-haoran / FLIVE_Database
  ☆22Updated 3 years ago
• researchmm / VQD-SR
  [ICCV'23] VQD-SR: Learning Data-Driven Vector-Quantized Degradation Model for Animation Video Super-Resolution
  ☆42Updated 10 months ago
• baidut / PatchVQ
  Patch-VQ: ‘Patching Up’ the Video Quality Problem
  ☆71Updated 3 months ago
• h4nwei / SPAQ
  [CVPR'20] Official SPAQ & Implementation
  ☆184Updated last year
• zwx8981 / TCSVT-2022-BVQA
  Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perception
  ☆48Updated 2 years ago