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
Automated blind MRI quality assessment using 3D CNN + FC deep learning. Trains on ABIDE-1 (15 sites), achieves SOTA transfer to novel sites and Glioblastoma MRI from TCIA.
🏆 🥇 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
Official PyTorch implementation of "R3-PCQA: Ray-Reprojection-Reinforcement for No-Reference 3D Point Cloud Quality Assessment" (CVPR 2026).
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.
No-reference Video Quality Assessment
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