Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression
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Updated
May 2, 2023 - Python
Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression
主打解析编码器内部逻辑和参数说明,从基础到全网没人讲的算法,没人画的图解,没人做的排版整理全都在此集齐;因此叫Ultimate Tutorial
Entropy coders for research and production in Python and Rust.
Data Compression using Arithmetic Encoding in Python
AIKA is a new type of artificial neural network designed to more closely mimic the behavior of a biological brain and to bridge the gap to classical AI. A key design decision in the Aika network is to conceptually separate the activations from their neurons, meaning that there are two separate graphs. One graph consisting of neurons and synapses…
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TensorFlow implementation of MRIC (Multi-Realism Image Compression with a Conditional Generator, CVPR 2023)
This project is being developed as part of a Master's degree research sponsored by Brazil's CNPQ. It's goal is to design a hardware architecture to accelerate the AV1 arithmetic encoder.
An arithmetic coder for Rust.
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novel high throughput entropy encoder for BWT data
Some of the fastest decoding range-based Asymetric Numeral Systems (rANS) codecs for x64
Text compression tool ⚡
Finding Storage- and Compute-Efficient Convolutional Neural Networks
Source code of "Density-Based Geometry Compression for LiDAR Point Clouds", accepted by EDBT'23 - By Xibo Sun and Prof. Qiong Luo
NeurIPS 2019 MicroNet Challenge
Image compression practice for Undergraduate
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