李鼎权, Dingquan Li

VSFA. [official] Quality Assessment of In-the-Wild Videos (ACM MM 2019)

CNNIQA. [unofficial] CVPR2014-Convolutional neural networks for no-reference image quality assessment

WaDIQaM. [unofficial] Pytorch implementation of WaDIQaM in TIP2018, Bosse S. et al. (Deep neural networks for no-reference and full-reference image quality assessment)

LinearityIQA. [official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)

CNNIQAplusplus. [unofficial] PyTorch Implementation of image quality assessment methods: IQA-CNN++ in ICIP2015 and IQA-CNN in CVPR2014

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 2019

arxiv-daily. [NOT UPDATED][To be updated with http://export.arxiv.org/api/query!] 🎓Automatically Update Interested Papers Daily using Github Actions

LSRN-PCGC. [official] DCC 2024: Lightweight super resolution network for point cloud geometry compression

pytorch-capsule-networks. PyTorch Implementation of Capsule Networks in NIPS2017 and ICLR2018

mpeg-pcc-tmc13. [official] PCC: TIP 2024-Hierarchical Prior-based Super Resolution for Point Cloud Geometry Compression; VCIP 2022-Near-lossless Point Cloud Geometry Compression Based on Adaptive Residual Compensation; ...

machine-learning-yearning. Chinese Translation of Machine Learning Yearning by Andrew Ng

PCD-PCL. A High-Quality Colored Point Cloud Dataset Provided by Pengcheng Laboratory (mainly for AVS PCC and PCQA)

LBDRN-MSIC. 2024JSTARS-Lightweight Bit-Depth Recovery Network for Gaofen Satellite Multispectral Image Compression

msmlTMIQA. Quality Assessment for Tone-Mapped HDR Images Using Multi-Scale and Multi-Layer Information (ICMEw 2018)

IQA4VQA. Best Practices for Initializing Image and Video Quality Assessment Models

selenium_example. Auto search and download similar images (image-crawler)

PyTorch-GAN. PyTorch implementations of Generative Adversarial Networks variants

lidq92.github.io. Dingquan Li's homepage

VoxelDNN. Tensorflow implementation of the paper "Learning-based Lossless Compression Of 3D Point Cloud Geometry"

LoCaCF-HSIC. [GRSL 2025] Low-Overhead Compression-Aware Channel Filtering for Hyperspectral Image Compression

mmddl. Multimedia Deadlines

pkuthss. LaTeX template for dissertations in Peking University

website. HTML

handcalcs. Python library for converting Python calculations into rendered latex.

sxjzart. <数学进展>新刊旧刊期刊模板

CompressAI. A PyTorch library and evaluation platform for end-to-end compression research

baycomp. Python

CompressAI-Trainer. Training platform for End-to-End compression models, losses and metrics defined in Compressai

Deep-Geometry-Post-Processing. DEEP GEOMETRY POST-PROCESSING FOR DECOMPRESSED POINT CLOUDS (ICME2022 oral)

LSSRN-HSIC. 2025SPL-Lightweight Spectral Super-Resolution Network for Hyperspectral Image Compression

img2latex-mathpix. An image to LaTeX tool by MathpixOCR API and JavaFX

lidq92.

MinkowskiEngine. Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

vmaf. Perceptual video quality assessment based on multi-method fusion.

ignite. High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

torch-points3d. Pytorch framework for doing deep learning on point clouds.

pcb. Point cloud compression and benchmark

OctAttention. Soruce code of OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression

postdoc_report. LaTeX Thesis Template for Tsinghua University