Official Repo for Revisiting Vision–Language Foundations for No-Reference Image Quality Assessment
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May 14, 2026 - Python
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no-reference-iqa
Here are 7 public repositories matching this topic...
A tagged catalog of perceptual quality assessment: image quality, video quality, UGC and HDR. Methods and subjective datasets in one place, generated from CSV.
awesome image video computer-vision video-processing perception vqa image-generation awesome-list hdr perceptual ugc iqa video-generation image-quality-assessment perceptual-quality video-quality-assessment perceptual-similarity perceptual-loss no-reference-iqa
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Oct 6, 2026 - Python
Retrieval-augmented NR-IQA: 5-encoder fusion + closed-form regression, AutoML model selection across 6 IQA benchmarks
automl kernel-ridge-regression image-quality-assessment retrieval-augmented-generation no-reference-iqa sobol-sensitivity-analysis
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Jul 11, 2026 - Python
Official PyTorch implementation of CaliTrace, monotone spatial-penalty routing for AI-generated image quality assessment.
computer-vision pytorch explainable-ai image-quality-assessment aigc ai-generated-images siglip no-reference-iqa aigiqa monotonic-neural-networks
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Aug 31, 2026 - Python
Content-variant reference IQA via knowledge distillation: a full-reference teacher transfers high-quality distribution priors to a student that needs only a non-pixel-aligned / content-variant reference, so quality scores no longer require a pixel-perfect reference image.
computer-vision deep-learning pytorch resnet knowledge-distillation ntire image-quality-assessment tid2013 full-reference-iqa csiq kadid10k mlp-mixer no-reference-iqa live-challenge koniq10k
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Sep 6, 2026 - Python
End-to-end image-quality regression & measurement platform: provenance catalog, objective + learned no-reference perceptual metrics calibrated against human MOS, build-over-build regression detection, FastAPI dashboard + natural-language query.
python computer-vision image-processing regression-testing image-quality mlops fastapi no-reference-iqa
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Jun 28, 2026 - Python
No-reference CT image quality assessment using a RadImageNet-pretrained ResNet50, adapted from the Ohashi et al. methodology to the LDCT-IQAC dataset with real human quality scores.
pytorch medical-imaging computed-tomography resnet-50 image-quality-assessment medical-ai radimagenet no-reference-iqa ct-image-quality-assessment ct-iqa ldct-iqac
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Oct 18, 2026 - Python
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