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GitHub topics: full-reference-iqa

abhijay9/ShiftTolerant-LPIPS

[ECCV 2022] We investigated a broad range of neural network elements and developed a robust perceptual similarity metric. Our shift-tolerant perceptual similarity metric (ST-LPIPS) is consistent with human perception and is less susceptible to imperceptible misalignments between two images than existing metrics.

Language: Python - Size: 240 MB - Last synced at: 17 days ago - Pushed at: about 1 year ago - Stars: 36 - Forks: 3

miccunifi/ARNIQA

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

Language: Python - Size: 17.4 MB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 126 - Forks: 3

abhijay9/attacking_perceptual_similarity_metrics

[TMLR 2023] as a featured article (spotlight :star2: or top 0.01% of the accepted papers). In this study, we systematically examine the robustness of both traditional and learned perceptual similarity metrics to imperceptible adversarial perturbations.

Language: Python - Size: 1.8 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 6 - Forks: 2

pavancm/CONTRIQUE

Official implementation for "Image Quality Assessment using Contrastive Learning"

Language: Python - Size: 4.36 MB - Last synced at: 11 months ago - Pushed at: about 1 year ago - Stars: 120 - Forks: 11

lidq92/WaDIQaM

[unofficial] Pytorch implementation of WaDIQaM in TIP2018, Bosse S. et al. (Deep neural networks for no-reference and full-reference image quality assessment)

Language: Python - Size: 50.8 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 125 - Forks: 38

SayedNadim/Image-Quality-Evaluation-Metrics

Implementation of Common Image Evaluation Metrics by Sayed Nadim (sayednadim.github.io). The repo is built based on full reference image quality metrics such as L1, L2, PSNR, SSIM, LPIPS. and feature-level quality metrics such as FID, IS. It can be used for evaluating image denoising, colorization, inpainting, deraining, dehazing etc. where we have access to ground truth.

Language: Python - Size: 70.3 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 12 - Forks: 4

pavancm/GREED

Official implementation for "ST-GREED: Space-Time Generalized EntropicDifferences for Frame Rate Dependent VideoQuality"

Language: Python - Size: 158 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 12 - Forks: 6

Related Keywords
full-reference-iqa 7 image-quality-assessment 4 full-reference-image-quality-assessment 3 iqa 3 image-processing 3 blind-image-quality-assessment 3 deep-neural-networks 2 image-quality 2 deep-learning 2 contrastive-learning 2 computer-vision 2 perceptual-similarity 2 transferable-attacks 1 contrastive-loss 1 convolutional-neural-networks 1 image-quality-assesment 1 adversarial-robustness 1 no-reference 1 pytorch 1 evaluation-framework 1 entropy 1 framerate 1 video-quality 1 video-quality-assessment 1 adversarial-attacks 1 simclr 1 self-supervised-learning 1 resnet 1 nr-iqa 1 no-reference-image-quality-assessment 1 low-level-vision 1 image-degradation 1 fr-iqa 1 degradation-model 1 biqa 1 ml-robustness 1