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| Model | PSNR ↑ | SSIM ↑ |
|---|---|---|
| Baseline (HDv3) | 32.57 | 0.8867 |
| Fine-tuned (L1 only) | 34.10 | 0.8974 |
| Fine-tuned (Custom) | 34.42 | 0.8991 |
1git clone https://huggingface.co/Anson-Saju-George/wms-rifev3
2cd wms-rifev3
3pip install -r requirements.txtpython demo_infer_pair.py --img0 frame_000.png --img1 frame_001.pnginterp_000_001.png.python finetune_infer_wms_sequence.py --video sample.mp4 --exp 1sample_2X.mp4.python finetune_custom_loss_train.pypython finetune_eval_wms.py1@inproceedings{huang2022rife,
2 title={Real-Time Intermediate Flow Estimation for Video Frame Interpolation},
3 author={Huang, Zhewei and Zhang, Tianyuan and Heng, Wen and Shi, Boxin and Zhou, Shuchang},
4 booktitle={European Conference on Computer Vision (ECCV)},
5 year={2022}
6}