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VSFA
[official] Quality Assessment of In-the-Wild Videos (ACM MM 2019)CNNIQA
[unofficial] CVPR2014-Convolutional neural networks for no-reference image quality assessmentWaDIQaM
[unofficial] Pytorch implementation of WaDIQaM in TIP2018, Bosse S. et al. (Deep neural networks for no-reference and full-reference image quality assessment)CNNIQAplusplus
[unofficial] PyTorch Implementation of image quality assessment methods: IQA-CNN++ in ICIP2015 and IQA-CNN in CVPR2014LinearityIQA
[official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)MDTVSFA
[official] Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets Training (IJCV 2021)SFA
[official] No reference image quality assessment based Semantic Feature Aggregation, published in ACM MM 2017, TMM 2019pytorch-capsule-networks
PyTorch Implementation of Capsule Networks in NIPS2017 and ICLR2018LSRN-PCGC
[official] DCC 2024: Lightweight super resolution network for point cloud geometry compressionmachine-learning-yearning
Chinese Translation of Machine Learning Yearning by Andrew NgmsmlTMIQA
Quality Assessment for Tone-Mapped HDR Images Using Multi-Scale and Multi-Layer Information (ICMEw 2018)PCD-PCL
A High-Quality Colored Point Cloud Dataset Provided by Peng Cheng Laboratory (mainly for AVS PCC and PCQA)IQA4VQA
Best Practices for Initializing Image and Video Quality Assessment Modelsselenium_example
Auto search and download similar images (image-crawler)PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks variantsmmddl
Multimedia Deadlineslidq92.github.io
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