[WACV 2024 Oral] - ARNIQA: Learning Distortion Manifold for Image Quality Assessment
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Updated
Jun 18, 2026 - Python
[WACV 2024 Oral] - ARNIQA: Learning Distortion Manifold for Image Quality Assessment
Official implementation for CVPR2023 Paper "Re-IQA : Unsupervised Learning for Image Quality Assessment in the Wild"
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.
Applying the Quality Estimator on the images
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