Official implementation for "Image Quality Assessment using Contrastive Learning"
A Python port of the MATLAB reference implementation
A Multi-channel CNN for Blind 360-Degree Image Quality Assessment
Official implementation for "CONVIQT: Contrastive Video Quality Estimator"
Analysis of video quality datasets via design of minimalistic video quality models
Non-local Modeling for Image Quality Assessment
🏆 🥇 Winner Solution for the FR Track and Second Solution for the NR Track of ICME 2025 Generalizable HDR and SDR Video Quality Measurement Grand Challenge
Source code for the paper "Blind Image Quality Assessment of Authentically Distorted Images"
This repository contains the source code to reproduce the paper "Feature-based No-Reference Video Quality Assessment using Extra Trees".
No-reference Video Quality Assessment
A fast, no-reference video quality benchmarking tool using BRISQUE and other IQA metrics. Extracts sampled frames, computes perceptual quality scores, and compares encodes objectively.
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