Alternatives and similar repositories for Deep-Lossy-Plus-Residual-Coding

Users that are interested in Deep-Lossy-Plus-Residual-Coding are comparing it to the libraries listed below

• JiangWeibeta / ELIC
  Unofficial pytorch implementation of CVPR2022 papar "ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contex…
  ☆55Updated 11 months ago
• JiangWeibeta / ECVC
  [CVPR 2025] ECVC: Exploiting Non-Local Correlations in Multiple Frames for Contextual Video Compression
  ☆42Updated last month
• ali-zafari / TBTC
  PyTorch re-implementation of Transformer-based Transform Coding
  ☆28Updated last year
• Xinjie-Q / Awesome-Neural-Compression
  Curated list of papers and resources focused on neural compression, intended to keep pace with the anticipated surge of research in the r…
  ☆77Updated last year
• mmSir / GainedVAE
  A Pytorch Implementation of a continuously rate adjustable learned image compression framework.
  ☆71Updated 2 years ago
• JiangWeibeta / MLIC
  [ACMMM 2023 / NCW ICML 2023] Multi-Reference Entropy Models for Learned Image Compression
  ☆149Updated 3 months ago
• LabShuHangGU / DCAE
  (CVPR2025) Learned Image Compression with Dictionary-based Entropy Model
  ☆55Updated 4 months ago
• JiangWeibeta / Checkerboard-Context-Model-for-Efficient-Learned-Image-Compression
  Unofficial pytorch implementation of CVPR2021 paper "Checkerboard Context Model for Efficient Learned Image Compression".
  ☆64Updated 2 years ago
• damo-cv / entroformer
  ☆94Updated 3 years ago
• cshw2021 / Learned-Image-Video-Compression
  A collection of papers related to data compression
  ☆89Updated 2 weeks ago
• ppingzhang / Deep-Learning-Based-Image-Compression
  The paper list about deep learning based image compression
  ☆154Updated 6 months ago
• lumingzzz / TIC
  [DCC 2022] Transformer-based Image Compression
  ☆32Updated last year
• qingshi9974 / ICLR2024-FTIC
  [ICLR2024] FTIC: Frequency-aware Transformer for Learned Image Compression
  ☆78Updated 5 months ago
• USTC-IMCL / NVTC
  ☆24Updated 5 months ago
• tongdaxu / pytorch-improving-inference-for-neural-image-compression
  Unoffical Pytorch Implementation of Improving Inference for Neural Image Compression
  ☆14Updated 4 months ago
• ZZ022 / ArIB-BPS
  PyTorch Implementation of the CVPR'24 Paper "Learned Lossless Image Compression based on Bit Plane Slicing"
  ☆38Updated 5 months ago
• VincentChandelier / ELiC-ReImplemetation
  Implemetation of ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding
  ☆169Updated last year
• tongdaxu / Idempotence-and-Perceptual-Image-Compression
  Official Implementation for (ICLR 2024) Idempotence and Perceptual Image Compression
  ☆38Updated last year
• leelitian / Checkerboard-Context-Model-Pytorch
  An unofficial pytorch implementation of CVPR2021 paper "Checkerboard Context Model for Efficient Learned Image Compression".
  ☆18Updated last year
• lumingzzz / TinyLIC
  High-Efficiency Lossy Image Coding Through Adaptive Neighborhood Information Aggregation
  ☆72Updated last year
• bytedance / QRAF
  ☆40Updated 2 years ago
• damo-cv / img-comp-reference
  [ICLR2021] Learning Accurate Entropy Model with Global Reference for Image Compression
  ☆31Updated 3 years ago
• NYCU-MAPL / TransTIC
  ☆36Updated last year
• USTC-IMCL / ENVC
  ☆16Updated 2 years ago
• jmliu206 / LIC_TCM
  ☆206Updated last year
• final-0 / ICM-v1
  Official implementation of the paper "Scalable Image Coding for Humans and Machines Using Feature Fusion Network".
  ☆13Updated 7 months ago
• NJUVISION / MPA
  [NeurIPS 2024] Offical PyTorch implementation of All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation
  ☆21Updated last month
• mmSir / SpatioTemporalEntropyModel
  Spatio-Temporal Entropy Model (STEM) for end-to-end leaned video compression.
  ☆29Updated 2 years ago
• wyq2021 / S2LIC
  ☆13Updated 4 months ago
• bygonexf / unofficial-FVC
  Unofficial PyTorch implementation of "FVC: A New Framework towards Deep Video Compression in Feature Space"
  ☆21Updated 3 years ago