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:
- ☆28Updated last year
- Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression (TPAMI'24, Journal Extension of our CVPR'21 work)☆29Updated last year
- codebase for Lossy Image Compression with Conditional Diffusion Models☆131Updated last year
- ☆24Updated 9 months ago
- Unoffical Pytorch Implementation of Improving Inference for Neural Image Compression☆15Updated 7 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…☆81Updated last year
- Official code for "Computationally-Efficient Neural Image Compression with Shallow Decoders", ICCV 2023☆34Updated last year
- [NeurIPS 2024] Offical PyTorch implementation of All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation☆22Updated 5 months ago
- Official Implementation for (ICLR 2024) Idempotence and Perceptual Image Compression☆40Updated last year
- PyTorch re-implementation of Transformer-based Transform Coding☆29Updated last year
- Official implementation of the CVPR'25 Paper "Towards Lossless Implicit Neural Representation via Bit Plane Decomposition"☆27Updated 8 months ago
- Deep Hierarchical Video Compression☆30Updated 6 months ago
- [ICCV 2025] StableCodec: Taming One-Step Diffusion for Extreme Image Compression☆50Updated last week
- Official implementation of the paper "Scalable Image Coding for Humans and Machines Using Feature Fusion Network".☆14Updated 11 months ago
- Code for Text + Sketch: Image Compression at Ultra Low Rates☆49Updated 3 months ago
- [DCC 2022] Transformer-based Image Compression☆39Updated last year
- [TCSVT 2025] Toward Extreme Image Compression with Latent Feature Guidance and Diffusion Prior☆95Updated 5 months ago
- (CVPR2025) Learned Image Compression with Dictionary-based Entropy Model☆65Updated last month
- Contains the implementation of the paper "Implicit Neural Representation for Image Compression" at ECCV 2022☆54Updated 3 years ago
- Official Implementation of "Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity (ICML 2024)"☆40Updated last year
- ☆95Updated 3 years ago
- [ICLR2024] FTIC: Frequency-aware Transformer for Learned Image Compression☆84Updated 9 months ago
- [ICML 2025] Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-Aware Diffusion☆49Updated 3 months ago
- The paper list about deep learning based image compression☆186Updated 2 months ago
- [ACMMM 2023 / NCW ICML 2023] Multi-Reference Entropy Models for Learned Image Compression☆155Updated 7 months ago
- Code for MambaVC: Learned Visual Compression with Selective State Spaces☆62Updated last year
- ☆39Updated 2 years ago
- [NeurIPS2024] Causal Context Adjustment Loss for Learned Image Compression☆65Updated 8 months ago
- [CVPR'25] Official Implementation of MambaIC: State Space Models for High-Performance Learned Image Compression☆72Updated last month
- ☆14Updated 6 months ago