Xinjie-Q / Boosting-NeRVLinks
π [CVPR 2024 Highlight] Boosting Neural Representations for Videos with a Conditional Decoder
β45Updated last year
Alternatives and similar repositories for Boosting-NeRV
Users that are interested in Boosting-NeRV are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation of βSMC++: Masked Learning of Unsupervised Video Semantic Compression", an extended version of ICCV 2023 paper "Noβ¦β27Updated last year
- [ACMMM 2025] Benchmarking MLLM Codec Abilityβ32Updated last year
- [TCSVT] RDEIC: Accelerating Diffusion-Based Extreme Image Compression with Relay Residual Diffusionβ38Updated 2 months ago
- [IEEE TIP 2024] Ultra-low Bitrate Image Semantic Compression Driven by Large Multimodal Modelβ29Updated last year
- The official implementation of 'Towards Scalable Neural Representation for Diverse Videos' (CVPR 2023)β47Updated 2 years ago
- Official Repository for VCIP'24 paper "LMM-driven Image-Text Coding for Ultra Low-bitrate Learned Image Compression"β22Updated 6 months ago
- π [ICLR 2023] LDMIC: Learning-based Distributed Multi-view Image Codingβ36Updated 2 years ago
- TensorFlow implementation of MRIC (Multi-Realism Image Compression with a Conditional Generator, CVPR 2023)β29Updated last year
- Official Implementation of "Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity (ICML 2024)"β37Updated last year
- Official Implementation for (ICLR 2024) Idempotence and Perceptual Image Compressionβ38Updated last year
- PyTorch implementation of PerCo (Towards Image Compression with Perfect Realism at Ultra-Low Bitrates, ICLR 2024)β91Updated 8 months ago
- Contains the implementation of the paper "Implicit Neural Representation for Image Compression" at ECCV 2022β51Updated 2 years ago
- [ICCV 2025] StableCodec: Taming One-Step Diffusion for Extreme Image Compressionβ37Updated 3 weeks ago
- This repository implements the training, testing and evaluation code for the "VQ-NeRV: A Vector Quantised Neural Representation for Videoβ¦β10Updated last year
- Authors' PyTorch implementation of lossy image compression methods based on hierarchical VAEsβ71Updated 11 months ago
- Code for MambaVC: Learned Visual Compression with Selective State Spacesβ62Updated last year
- Pytorch implementation of the paper "You Can Mask More For Extremely Low-Bitrate Image Compression".β39Updated last year
- β87Updated 3 months ago
- Deep Hierarchical Video Compressionβ26Updated 3 months ago
- Official Pytorch implementation for HNeRV: a hybrid video neural representation (CVPR 2023)β130Updated 2 years ago
- Official code for "Computationally-Efficient Neural Image Compression with Shallow Decoders", ICCV 2023β32Updated 11 months ago
- TensorFlow implementation of EGIC (EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentation, ECCV 2024)β18Updated 10 months ago
- [NeurIPS2024] Causal Context Adjustment Loss for Learned Image Compressionβ60Updated 5 months ago
- Extreme Image Compression using Fine-tuned VQGAN Models (DCC 2024)β20Updated 8 months ago
- Code for Text + Sketch: Image Compression at Ultra Low Ratesβ46Updated 3 weeks ago
- Official implementation of "Universal Deep Image Compression via Content-Adaptive Optimization with Adapters" presented at WACV 23 (httpsβ¦β29Updated 2 years ago
- Curated list of papers and resources focused on neural compression, intended to keep pace with the anticipated surge of research in the rβ¦β78Updated last year
- PyTorch Implementation of the CVPR'24 Paper "Learned Lossless Image Compression based on Bit Plane Slicing"β38Updated 6 months ago
- [NeurIPS 2024] Offical PyTorch implementation of All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregationβ22Updated 2 months ago
- β22Updated 2 years ago