A metric for Perceptual Image-Error Assessment through Pairwise Preference (PieAPP at CVPR 2018).
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Updated
Jan 5, 2024 - Python
A metric for Perceptual Image-Error Assessment through Pairwise Preference (PieAPP at CVPR 2018).
[ Official ] - PIPAL Dataset and Training Codebase. ECCV-2020, NTIRE-21/22.
Code for "Adversarial and Perceptual Refinement Compressed Sensing MRI Reconstruction"
Learning-based Just-noticeable-quantization-distortion Model for perceptual video coding
Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks
Supplementary material for the paper "BL-JUNIPER: A CNN Assisted Framework for Perceptual Video Coding Leveraging Block Level JND", IEEE TMM 2022
Full-Reference Image Quality Assessment models based on ensemble of gradient boosting
Supplementary material for the paper "MTJND: MULTI-TASK DEEP LEARNING FRAMEWORK FOR IMPROVED JND PREDICTION", IEEE ICIP 2023
Full-reference objective quality index for reconstructed background images.
Supplementary material for the paper "Lightweight Multitask Learning for Robust JND Prediction using Latent Space and Reconstructed Frames", IEEE TCSVT, 2024.
Super Resolution
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