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fr-iqa

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miccunifi / ARNIQA

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[WACV 2024 Oral] - ARNIQA: Learning Distortion Manifold for Image Quality Assessment

computer-vision deep-learning image-processing resnet image-quality iqa image-quality-assessment blind-image-quality-assessment low-level-vision image-degradation self-supervised-learning degradation-model biqa full-reference-iqa nr-iqa simclr contrastive-learning fr-iqa no-reference-image-quality-assessment full-reference-image-quality-assessment
  • Updated Jul 31, 2025
  • Python
FR-IQA-Algo

katolikov / FR-IQA-Algo

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UPIQAL is a 100% automated Full-Reference Image Quality Assessment (FR-IQA) framework. It synthesizes deep feature statistics, probabilistic uncertainty, and spatial heuristics to replace human MOS and output spatially localized diagnostic heatmaps for visual artifacts.

computer-vision deep-learning pytorch optimal-transport anomaly-detection machine-learning-algorithm image-quality-assessment computer-vision-opencv anomaly-detection-algorithm generative-ai fr-iqa visual-artifacts
  • Updated Mar 17, 2026
  • Python

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