hilloc-submission / hilloc
☆35Updated 4 years ago
Alternatives and similar repositories for hilloc:
Users that are interested in hilloc are comparing it to the libraries listed below
- ☆16Updated 2 years ago
- PyTorch code for the CVPR'20 paper "Learning Better Lossless Compression Using Lossy Compression"☆62Updated last year
- Compression tools for machine learning researchers☆83Updated last year
- a fast range coder in C++, using SSE☆67Updated last year
- Deep generative models for distribution-preserving lossy compression☆33Updated 6 years ago
- Compression with Flows via Local Bits-Back Coding☆39Updated 5 years ago
- ☆145Updated 2 years ago
- Perceptual quality metrics for TensorFlow☆42Updated 2 years ago
- ☆61Updated 5 years ago
- Official code repo for NeurIPS 2020 paper "Improving Inference for Neural Image Compression"☆48Updated last year
- Code release for Hoogeboom, Emiel, Jorn WT Peters, Rianne van den Berg, and Max Welling. "Integer Discrete Flows and Lossless Compression…☆97Updated 5 years ago
- The code for Channel-Level Variable Quantization Network for Deep Image Compression (IJCAI 2020)☆31Updated 3 years ago
- Lossy compression; Variable rate compresson; Lossless compression;☆62Updated 2 years ago
- Repository of the paper "Context-adaptive Entropy Model for End-to-end Optimized Image Compression"☆146Updated 5 years ago
- PyTorch implementation of the Generalized divisive normalization non-linearity layer☆94Updated 3 years ago
- Slimmable Compressive Autoencoders for Practical Neural Image Compression☆53Updated 3 years ago
- Deep Image Compression using Decoder Side Information (ECCV 2020)☆46Updated 2 years ago
- Autoencoder based image compression: can the learning be quantization independent? https://arxiv.org/abs/1802.09371☆19Updated 2 years ago
- A code to implement end to end image compression framework☆37Updated 6 years ago
- End-to-end optimized image compression☆116Updated 4 years ago
- Dataset code for "Hierarchical Autoregressive Modeling for Neural Video Compression"☆12Updated 4 years ago
- Official code for ICML 2020 paper "Variational Bayesian Quantization"☆23Updated 2 years ago
- ☆71Updated 3 years ago
- ☆13Updated 2 years ago
- Repository of the paper "Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules"☆194Updated 5 years ago
- ☆16Updated 2 years ago
- TensorFlow implementation of Conditional Probability Models for Deep Image Compression, published in CVPR 2018☆180Updated 5 years ago
- Source code of CVPR 2021 paper "Learning Scalable ℓ∞-constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compr…☆41Updated 3 years ago
- Image compression☆17Updated 3 years ago
- Deep learning for video compression.☆43Updated 5 years ago