Update README.md

README.md

@@ -1,3 +1,50 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+---
+---
+license: apache-2.0
+---
+# VFIMamba: Video Frame Interpolation with State Space Models
+This is the official checkpoint library for [VFIMamba: Video Frame Interpolation with State Space Models](https://arxiv.org/abs/2407.02315). 
+Please refer to [this repository](https://github.com/MCG-NJU/VFIMamba) for our code.
+
+## Model Description
+VFIMamba is the first approach to adapt the SSM model to the video frame interpolation task. 
+1. We devise the Mixed-SSM Block (MSB) for efficient inter-frame modeling using S6. 
+2. We explore various rearrangement methods to convert two frames into a sequence, discovering that interleaved rearrangement is more suitable for VFI tasks. 
+3. We propose a curriculum learning strategy to further leverage the potential of the S6 model.
+
+Experimental results demonstrate that VFIMamba achieves the state-of-the-art performance across various datasets, in particular highlighting the potential of the SSM model for VFI tasks with high resolution.
+
+## Usage
+We provide two models, an efficient version (VFIMamba-S) and a stronger one (VFIMamba). You can choose what you need by specifying the parameter model.
+
+### Manually Load
+Please refer to [the instruction here](https://github.com/MCG-NJU/VFIMamba/tree/main?tab=readme-ov-file#sunglassesplay-with-demos) for manually loading the checkpoints and a more customized experience. 
+```bash
+python demo_2x.py  --model **model[VFIMamba_S/VFIMamba]**      # for 2x interpolation
+python demo_Nx.py --n 8 --model **model[VFIMamba_S/VFIMamba]** # for 8x interpolation
+```
+
+
+### Hugging Face Demo
+For Hugging Face demo, please refer to [the code here](https://github.com/MCG-NJU/VFIMamba/blob/main/hf_demo_2x.py).
+```bash
+python hf_demo_2x.py --model **model[VFIMamba_S/VFIMamba]**      # for 2x interpolation
+```
+
+
+## Citation
+If you think this project is helpful in your research or for application, please feel free to leave a star⭐️ and cite our paper:
+```
+@misc{zhang2024vfimambavideoframeinterpolation,
+      title={VFIMamba: Video Frame Interpolation with State Space Models}, 
+      author={Guozhen Zhang and Chunxu Liu and Yutao Cui and Xiaotong Zhao and Kai Ma and Limin Wang},
+      year={2024},
+      eprint={2407.02315},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2407.02315}, 
+}
+```
+