Alternatives and similar repositories for CWIC

Users that are interested in CWIC are comparing it to the libraries listed below

• zhiqiang-zhu / Image-Compression-Papers-and-Code
  ☆61Updated 6 years ago
• JooyoungLeeETRI / CA_Entropy_Model
  Repository of the paper "Context-adaptive Entropy Model for End-to-end Optimized Image Compression"
  ☆149Updated 5 years ago
• makbari7 / DSSLIC
  DSSLIC: Deep Semantic Segmentation-based Layered Image Compression
  ☆48Updated 6 years ago
• fab-jul / imgcomp-cvpr
  TensorFlow implementation of Conditional Probability Models for Deep Image Compression, published in CVPR 2018
  ☆180Updated 6 years ago
• limuhit / ImageCompression
  This is the codes for paper "Learning Convolutional Networks for Content-weighted Image Compression"
  ☆75Updated 3 years ago
• compression-framework / compression_framwork_for_tesing
  ☆29Updated 9 years ago
• jorge-pessoa / pytorch-gdn
  PyTorch implementation of the Generalized divisive normalization non-linearity layer
  ☆95Updated 4 years ago
• kunalrdeshmukh / End-to-end-compression
  A code to implement end to end image compression framework
  ☆37Updated 6 years ago
• smileformylove / image-compression
  There are some papers about image compression
  ☆31Updated 6 years ago
• mengab / MGANet-DCC2020
  PyTorch implementation of "MGANet & DCC2020 paper"
  ☆40Updated 5 years ago
• liujiaheng / CompressionData
  The training data of learned image compression. The data is from flicker.com.
  ☆41Updated 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
• FireFYF / SlimCAE
  Slimmable Compressive Autoencoders for Practical Neural Image Compression
  ☆53Updated 3 years ago
• haimengzhao / CAE-ADMM
  CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders
  ☆47Updated 5 years ago
• 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 7 months ago
• JianpingLin / M-LVC_CVPR2020
  ☆83Updated 5 years ago
• RenYang-home / HLVC
  ☆133Updated 2 years ago
• zs-zhong / CVQN
  The code for Channel-Level Variable Quantization Network for Deep Image Compression (IJCAI 2020)
  ☆30Updated 4 years ago
• flyywh / Image-compression-and-video-coding
  ☆169Updated 7 years ago
• abskj / lossy-image-compression
  Image Compression using CNN based Autoencoders
  ☆39Updated 3 years ago
• huzi96 / Coarse2Fine-ImaComp
  ☆21Updated 4 years ago
• RenYang-home / RLVC
  ☆54Updated 2 years ago
• ryanxingql / rbqe
  Official implementation of "Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images" (ECCV'20).
  ☆64Updated 2 years ago
• mahaichuan / Versatile-Image-Compression
  Lossy compression; Variable rate compresson; Lossless compression;
  ☆62Updated 3 years ago
• FireFYF / modulatedautoencoder
  Variable rate with MAE
  ☆30Updated 4 years ago
• thierrydumas / context_adaptive_neural_network_based_prediction
  Context-adaptive neural network based prediction for image compression https://arxiv.org/abs/1807.06244
  ☆23Updated 5 years ago
• 1zb / pytorch-image-comp-rnn
  PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks
  ☆196Updated 3 years ago
• chaoyuaw / pytorch-vcii
  Video Compression through Image Interpolation (ECCV'18) [PyTorch]
  ☆211Updated 6 years ago
• ayziksha / DSIN
  Deep Image Compression using Decoder Side Information (ECCV 2020)
  ☆49Updated 2 years ago
• deeptimhe / Learning-based-Image-Video-Compression
  Recent papers and codes related to deep learning-based image/video compression. Mainly focus on top venues of machine learning / neural n…
  ☆29Updated 6 years ago