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license: other
license_name: research-only
tags:
- image-compression
- video-diffusion
- ultra-low-bitrate
---
<img src="./assets/logo_nefic_true.png" style="zoom: 33%;" />
# NeFIC: Next-Frame Decoding for Ultra-Low-Bitrate Image Compression with Video Diffusion Priors
**ECCV 2026**
**Authors:** Yunuo Chen, Chuqin Zhou, Jiangchuan Li, Xiaoyue Ling, Bing He, Jincheng Dai, Li Song, Guo Lu
## Links
- [📄 Paper (arXiv)](https://arxiv.org/abs/2603.15129)
- [💻 Code (GitHub)](https://github.com/UnoC-727/NeFIC)
## Checkpoints
This repository contains 6 pretrained NeFIC checkpoints at different rate points:
| Directory | Lambda | Rate |
|-----------|--------|------|
| `checkpoints/nefic_lambda0.25/` | 0.25 | Highest bitrate |
| `checkpoints/nefic_lambda0.5/` | 0.5 | |
| `checkpoints/nefic_lambda1/` | 1.0 | |
| `checkpoints/nefic_lambda1.7/` | 1.7 | |
| `checkpoints/nefic_lambda3/` | 3.0 | |
| `checkpoints/nefic_lambda5/` | 5.0 | Lowest bitrate |
Each directory contains:
- `anchor_codec.bin` — Anchor Codec weights
- `pytorch_lora_weights.safetensors` — LoRA adapter for the generative decoder
## Usage
```bash
hf download yuUnuo/NeFIC --local-dir /path/to/nefic_checkpoints
```
See the [GitHub repo](https://github.com/UnoC-727/NeFIC) for full inference instructions.
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