cambridge-mlg / RECOMBINERLinks
Pytorch Implementation of INR-based codec RECOMBINER (Robust and Enhanced Compression with Bayesian Implicit Neural Representations)
☆11Updated last year
Alternatives and similar repositories for RECOMBINER
Users that are interested in RECOMBINER are comparing it to the libraries listed below
Sorting:
- ☆27Updated last year
- Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression (TPAMI'24, Journal Extension of our CVPR'21 work)☆27Updated 8 months ago
- Deep Hierarchical Video Compression☆21Updated 2 weeks ago
- Official code for "Computationally-Efficient Neural Image Compression with Shallow Decoders", ICCV 2023☆29Updated 8 months ago
- ☆24Updated 3 months ago
- Curated list of papers and resources focused on neural compression, intended to keep pace with the anticipated surge of research in the r…☆74Updated 10 months ago
- PyTorch re-implementation of Transformer-based Transform Coding [ICLR 2022]☆28Updated last year
- (CVPR2025) Learned Image Compression with Dictionary-based Entropy Model☆44Updated 2 months ago
- Official implementation of the CVPR'25 Paper "Towards Lossless Implicit Neural Representation via Bit Plane Decomposition"☆21Updated 3 months ago
- Offical PyTorch implementation of All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation☆19Updated 2 months ago
- codebase for Lossy Image Compression with Conditional Diffusion Models☆119Updated last year
- Unoffical Pytorch Implementation of Improving Inference for Neural Image Compression☆13Updated 2 months ago
- [DCC 2022] Transformer-based Image Compression☆32Updated 10 months ago
- ☆13Updated 2 months ago
- Official Implementation for (ICLR 2024) Idempotence and Perceptual Image Compression☆38Updated last year
- [CVPR 2025] ECVC: Exploiting Non-Local Correlations in Multiple Frames for Contextual Video Compression☆36Updated this week
- [NeurIPS2024] Causal Context Adjustment Loss for Learned Image Compression☆60Updated 2 months ago
- Code for MambaVC: Learned Visual Compression with Selective State Spaces☆52Updated last year
- Official implementation of the paper "Scalable Image Coding for Humans and Machines Using Feature Fusion Network".☆12Updated 5 months ago
- [ICLR2024] FTIC: Frequency-aware Transformer for Learned Image Compression☆76Updated 3 months ago
- ☆13Updated last week
- Contains the implementation of the paper "Implicit Neural Representation for Image Compression" at ECCV 2022☆49Updated 2 years ago
- ☆35Updated 2 months ago
- Neural Representation for Video via Differential Input and Pyramidal Architecture☆9Updated 9 months ago
- PyTorch Implementation of the CVPR'24 Paper "Learned Lossless Image Compression based on Bit Plane Slicing"☆34Updated 3 months ago
- [CVPR'25] Official Implementation of MambaIC: State Space Models for High-Performance Learned Image Compression☆41Updated 3 months ago
- ☆92Updated 3 years ago
- WeConvene: Learned Image Compression with Wavelet-Domain Convolution and Entropy Model☆32Updated last week
- Unofficial pytorch implementation of CVPR2022 papar "ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contex…☆52Updated 9 months ago
- Official Implementation of "Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity (ICML 2024)"☆32Updated 9 months ago