👁️ 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including PSNR, SSIM, LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...

Measures and metrics for image2image tasks. PyTorch.

A comprehensive collection of IQA papers

[AAAI 2023] Exploring CLIP for Assessing the Look and Feel of Images

IQA: Deep Image Structure and Texture Similarity Metric

Comparison of IQA models in Perceptual Optimization

An experimental Pytorch implementation of Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network

A unified interface for downloading and loading popular Image Quality Assessment (IQA) datasets.

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

[IEEE TIP'2021] "UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content", Zhengzhong Tu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik

Quality-Aware Image-Text Alignment for Opinion-Unaware Image Quality Assessment

Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network

UniPercept: Towards Unified Perceptual-Level Image Understanding across Aesthetics, Quality, Structure, and Texture

The Most Comprehensive Survey of Video Quality Assessment to Date.

DSL-FIQA: Assessing Facial Image Quality via Dual-Set Degradation Learning and Landmark-Guided Transformer (CVPR 2024)

🔥[Information Fusion 2024, Official Code] for paper "Prompt-guided image color aesthetics assessment: Models, datasets and benchmarks". Official Weights and Demos provided. 首个多因素色彩美学评估数据集、算法和benchmark.

A collection of algorithms for color transfer, style transfer, and colorization, complemented by objective evaluation metrics for quantitative assessment.

[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.

Visual Information Fidelity Code - Python

Python code to compute features of classic Image Quality Assessment models

[NeurIPS 2023] Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment

NTIRE 2021, Image Quality Assessment Challenge (MACS team)

Liveness Tests For Facial Recognition

Pytorch Code for the CVPR2020 paper: "Perceptual Quality Assessment of Smartphone Photography."

[2022-TVCG] Perceptual Quality Assessment of Omnidirectional Images as Moving Camera Videos

[ICCV 2025] - Image Intrinsic Scale Assessment: Bridging the Gap Between Quality and Resolution

Convolutional Neural Network for Full-Reference color Image Quality Assessment

Pytorch version of the CVPR2014 paper: "Deep CNN-Based Blind Image Quality Predictor."

Non-local Modeling for Image Quality Assessment

Pytorch version of IEEE Transactions on Multimedia 2019: "Naturalness-Aware Deep No-Reference Image Quality Assessment."