weizhou-geek/weizhou-geek.github.io

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weizhou-geek/weizhou-geek.github.io

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Image-Quality-Assessment-Benchmark

A collection of state-of-the-art image quality assessment algorithms

Recent-Image-Quality-Related-Papers

A list of image quality related papers published in top conferences and journals

VGCN-PyTorch

PyTorch Implementation of TCSVT 2020 "Blind Omnidirectional Image Quality Assessment with Viewport Oriented Graph Convolutional Networks"

SFSN

Implementation of QoMEX 2021 "Image Super-Resolution Quality Assessment: Structural Fidelity Versus Statistical Naturalness"

DeepSRQ

Blind quality assessment for image superresolution using deep two-stream convolutional networks, published in Information Sciences 2020

SRIF

Demo code of ACMMM 2022 "Quality Assessment of Image Super-Resolution: Balancing Deterministic and Statistical Fidelity"

NR-LFQA

Demo code of "No-Reference Light Field Image Quality Assessment Based on Spatial-Angular Measurement", TCSVT 2019

PAD-Net-PyTorch

PyTorch Implementation of TIM 2020 "Binocular Rivalry Oriented Predictive Auto-Encoding Network for Blind Stereoscopic Image Quality Measurement"

Stereoscopic-Image-Quality-Assessment-Network

Implementation of "Dual-Stream Interactive Networks for No-Reference Stereoscopic Image Quality Assessment", TIP 2019

LF-IQM

Implementation of "Reduced Reference Quality Assessment of Light Field Images", TBC 2019

Tensor-NLFQ

Demo code of "Tensor Oriented No-Reference Light Field Image Quality Assessment", TIP 2020

3D-Image-Quality-Assessment-Benchmark

A collection of state-of-the-art 3D image quality assessment algorithms

Video-Quality-Assessment-Benchmark

A collection of state-of-the-art video quality assessment algorithms

MFILGN

Implementation of "No-Reference Quality Assessment for 360-degree Images by Analysis of Multifrequency Information and Local-global Naturalness", TCSVT 2021

RR-CAP

Demo code of IEEE SPL 2023 "Reduced-Reference Quality Assessment of Point Clouds via Content-Oriented Saliency Projection"

BSVQE-MATLAB

Demo code of "Blind Stereoscopic Video Quality Assessment: From Depth Perception to Overall Experience", TIP 2018

Image-Processing

Image processing related conferences and journals

git

PSCP

SGR

Blind Quality Assessment of Dense 3D Point Clouds with Structure Guided Resampling

Python-GPU

Dehazed-Image-Quality-Evaluation

Install-Anaconda