nayuki / Reference-arithmetic-codingLinks
Clear implementation of arithmetic coding for educational purposes in Java, Python, C++.
☆392Updated 3 years ago
Alternatives and similar repositories for Reference-arithmetic-coding
Users that are interested in Reference-arithmetic-coding are comparing it to the libraries listed below
Sorting:
- a fast range coder in C++, using SSE☆69Updated 2 years ago
- JPEG encoder/decoder written in Python☆184Updated 7 years ago
- Entropy coding / arithmetic coding for PyTorch☆266Updated 3 years ago
- Entropy coders for research and production in Python and Rust.☆102Updated this week
- Repository of the paper "Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules"☆216Updated 5 years ago
- ☆35Updated 5 years ago
- Repository of the paper "Context-adaptive Entropy Model for End-to-end Optimized Image Compression"☆150Updated 5 years ago
- ☆61Updated 6 years ago
- End-to-end optimized image compression☆123Updated 5 years ago
- PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned Lossless Image Compression"☆408Updated 2 years ago
- Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression☆473Updated 2 years ago
- The goal of the library is to help with research in the area of data compression. This is not meant to be fast or efficient implementatio…☆99Updated 2 months ago
- Official PyTorch Implementation of Fidelity Controllable Extreme Image Compression with GAN☆31Updated 3 years ago
- ☆169Updated 7 years ago
- PyTorch implementation of the Generalized divisive normalization non-linearity layer☆95Updated 4 years ago
- Compressive AutoEncoder.☆181Updated 11 months ago
- Simple rANS encoder/decoder (arithmetic coding-ish entropy coder).☆345Updated 3 years ago
- PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks☆200Updated 3 years ago
- A code to implement end to end image compression framework☆37Updated 7 years ago
- TensorFlow implementation of Conditional Probability Models for Deep Image Compression, published in CVPR 2018☆180Updated 6 years ago
- Lossy compression; Variable rate compresson; Lossless compression;☆63Updated 3 years ago
- Bjontegaard metric calculation. Include BD-PSNR and BD-rate☆157Updated 5 years ago
- ☆63Updated 3 years ago
- NN based lossless compression☆162Updated 3 years ago
- DVC: An End-to-end Deep Video Compression Framework, CVPR 2019 (Oral)☆459Updated 4 years ago
- Autoencoder based image compression: can the learning be quantization independent? https://arxiv.org/abs/1802.09371☆19Updated 3 years ago
- Recent papers and codes related to deep learning/deep neural network based image compression and video coding framework.☆165Updated 3 years ago
- ☆153Updated 3 years ago
- PyTorch code for the CVPR'20 paper "Learning Better Lossless Compression Using Lossy Compression"☆61Updated 2 years ago
- ☆13Updated 3 years ago