Alternatives and similar repositories for End-to-end-compression:

Users that are interested in End-to-end-compression are comparing it to the libraries listed below

• JooyoungLeeETRI / CA_Entropy_Model
  Repository of the paper "Context-adaptive Entropy Model for End-to-end Optimized Image Compression"
  ☆144Updated 4 years ago
• jorge-pessoa / pytorch-gdn
  PyTorch implementation of the Generalized divisive normalization non-linearity layer
  ☆94Updated 3 years ago
• thierrydumas / context_adaptive_neural_network_based_prediction
  Context-adaptive neural network based prediction for image compression https://arxiv.org/abs/1807.06244
  ☆24Updated 4 years ago
• liujiaheng / iclr_17_compression
  End-to-end optimized image compression
  ☆112Updated 4 years ago
• zhiqiang-zhu / Image-Compression-Papers-and-Code
  ☆59Updated 5 years ago
• alexandru-dinu / cae
  Compressive Autoencoder.
  ☆174Updated 3 years ago
• abskj / lossy-image-compression
  Image Compression using CNN based Autoencoders
  ☆36Updated 2 years ago
• fab-jul / RC-PyTorch
  PyTorch code for the CVPR'20 paper "Learning Better Lossless Compression Using Lossy Compression"
  ☆62Updated last year
• ZhengxueCheng / Learned-Image-Compression-with-GMM-and-Attention
  Repository of the paper "Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules"
  ☆189Updated 4 years ago
• thierrydumas / autoencoder_based_image_compression
  Autoencoder based image compression: can the learning be quantization independent? https://arxiv.org/abs/1802.09371
  ☆19Updated 2 years ago
• mahaichuan / Versatile-Image-Compression
  Lossy compression; Variable rate compresson; Lossless compression;
  ☆62Updated 2 years ago
• lucastheis / rangecoder
  a fast range coder in C++, using SSE
  ☆67Updated last year
• fab-jul / imgcomp-cvpr
  TensorFlow implementation of Conditional Probability Models for Deep Image Compression, published in CVPR 2018
  ☆181Updated 5 years ago
• FireFYF / modulatedautoencoder
  Variable rate with MAE
  ☆28Updated 3 years ago
• compression-framework / compression_framwork_for_tesing
  ☆29Updated 8 years ago
• FireFYF / SlimCAE
  Slimmable Compressive Autoencoders for Practical Neural Image Compression
  ☆49Updated 3 years ago
• limuhit / CWIC
  Image compression
  ☆17Updated 3 years ago
• 1zb / pytorch-image-comp-rnn
  PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks
  ☆191Updated 2 years ago
• hilloc-submission / hilloc
  ☆36Updated 4 years ago
• makbari7 / DSSLIC
  DSSLIC: Deep Semantic Segmentation-based Layered Image Compression
  ☆46Updated 5 years ago
• WenxueCui / Deep-Image-Compression-Video-Coding
  Recent papers and codes related to deep learning/deep neural network based image compression and video coding framework.
  ☆153Updated 2 years ago
• micmic123 / QmapCompression
  Official implementation of "Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform", ICCV 2021
  ☆84Updated 3 years ago
• huzi96 / Coarse2Fine-ImaComp
  ☆21Updated 3 years ago
• thekoshkina / learned_image_compression
  Joint autoregressive and hierarchical priors for learned image compression
  ☆35Updated 4 years ago
• RenYang-home / HLVC
  ☆127Updated last year
• ryangchn / QG-ConvLSTM
  The project page of the paper: Ren Yang, Xiaoyan Sun, Mai Xu and Wenjun Zeng, "Quality-Gated Convolutional LSTM for Enhancing Compressed…
  ☆45Updated last year
• mitscha / dplc
  Deep generative models for distribution-preserving lossy compression
  ☆33Updated 6 years ago
• adityassrana / Content-Weighted-Image-Compression
  PyTorch implementation of Learning Convolutional Networks for Content-Weighted Image Compression
  ☆22Updated 2 years ago
• ipc-lab / NDIC
  Neural Distributed Image Compression using Common Information (NDIC) [DCC 2022]
  ☆32Updated 2 years ago
• mmSir / GainedVAE
  A Pytorch Implementation of a continuously rate adjustable learned image compression framework.
  ☆65Updated last year