# NEVC

**Repository Path**: ByteDance/NEVC

## Basic Information

- **Project Name**: NEVC
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: BSD-3-Clause-Clear
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-09-06
- **Last Updated**: 2025-09-23

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

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<div align="center">

# **NEVC** - **N**eural **E**fficient **V**ideo **C**oding

</div>

**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.

<div align="center">

| 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) |

</div>

---

### :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