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Instituto de Telecomunicações Deep Learning-based Point Cloud Codec
Point Cloud Attribute Compression with Sparse Convolution and Voxel Transformer
A list of papers about deep point cloud compression.
The codes of D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction.
This is the official code for the our paper "SCP: Spherical-Coordinate-based Learned Point Cloud Compression"
A Torch implementation of attribute compression module from CNeT paper (T-CSVT)
Source code of "GRASP-Net: Geometric Residual Analysis and Synthesis for Point Cloud Compression"
Soruce code of OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression
Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
This repository is about compressed image with vector quantization technique. It begins from generating codebook with Linde-Buzo-Grey (LBG) algorithm, encode and decode the image, also some experim…
基于Hyperprior的端到端实现by Yifan Bian
CFA (Colour Filter Array) demosaicing algorithms for Python
Bjontegaard metric calculation. Include BD-PSNR and BD-rate
GPU-Accelerated Bayer Pattern Demosaicing
Commen Image Quality Assessment indexes: (FID, SIFID, CleanFID, LPIPS) and (Scoot, PSNR, SSIM, FSIM & MAE), implemented by Pytorch and Matlab.