https://github.com/bytedance/nevc
Science Score: 36.0%
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Basic Info
- Host: GitHub
- Owner: bytedance
- License: other
- Language: Python
- Default Branch: main
- Size: 3.11 MB
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- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Created 11 months ago
· Last pushed 10 months ago
Metadata Files
Readme
License
README.md
# **NEVC** - **N**eural **E**fficient **V**ideo **C**oding
NEVC is a neural video coding framework designed for highly efficient video compression. By integrating cutting-edge neural network models, NEVC pushes the boundaries of encoding performance and efficiency.
This repository provides access to code, pretrained models, and research papers for various versions of NEVC.
:newspaper: Release Notes
NEVC-1.0 - First Release
- Release Date: Sep 5th, 2025
- Key Features:
- This version implements the core concepts and methods from the paper "EHVC: Efficient Hierarchical Reference and Quality Structure for Neural Video Coding", accepted at ACM MM 2025.
:memo: Codec Versions Overview
The following table provides details on different versions of the NEVC codec, along with associated papers, code, and checkpoints.
| Codec | Paper | Code | Checkpoint |
| ----- | ----- | ---- | ---------- |
| **NEVC-1.0 (EHVC)** | [EHVC paper](http://arxiv.org/abs/2509.04118) | [EHVC code](NEVC-1.0-EHVC) | [EHVC checkpoint](https://huggingface.co/ByteDance/NEVC1.0) |
:dart: Project Goals
- Develop a neural-based video codec that offers efficient video compression.
- Achieve major enhancements in encoding performance and compression efficiency.
:book: Citation
If you find NEVC or any part of this repository helpful in your research or projects, we kindly ask you to consider citing the following papers:
- EHVC: Efficient Hierarchical Reference and Quality Structure for Neural Video Coding
Junqi Liao, Yaojun Wu, Chaoyi Lin, Zhipin Deng, Li Li, Dong Liu, Xiaoyan Sun, ACM MM 2025.
```bibtex @inproceedings{liao2025ehvc, title={EHVC: Efficient Hierarchical Reference and Quality Structure for Neural Video Coding}, author={Liao, Junqi and Wu, Yaojun and Lin, Chaoyi and Deng, Zhipin and Li, Li and Liu, Dong and Sun, Xiaoyan}, booktitle={Proceedings of the 33rd ACM International Conference on Multimedia}, year={2025} }
:scroll: License
NEVC is licensed under the BSD 3-Clause Clear License
Owner
- Name: Bytedance Inc.
- Login: bytedance
- Kind: organization
- Location: Singapore
- Website: https://opensource.bytedance.com
- Twitter: ByteDanceOSS
- Repositories: 255
- Profile: https://github.com/bytedance
GitHub Events
Total
- Watch event: 28
- Push event: 1
- Fork event: 1
Last Year
- Watch event: 28
- Push event: 1
- Fork event: 1
Dependencies
NEVC-1.0-EHVC/requirements.txt
pypi
- bd-metric *
- matplotlib *
- numpy >=1.20.0
- ptflops *
- pytorch-msssim ==0.2.0
- scipy *
- tensorboard *
- torch >=1.7.0
- tqdm *