GMFlow based anime video frame interpolation
2023-04-03: We now propose GMFSS_Fortuna as a factual basis for training in GMFSS. Please use it. This item will not be updated!
2022-11-23: GMFSS_union —— The next generation of GMFSS with better performance.
2022-09-18: GMFupSS —— A faster GMFSS
- Python 3.10.7 or other versions
- opencv-python
- pytorch
- numpy
- cupy
- pandas
- Run the following command and view the result in the 'output' folder
python test.py
- Switch to project GMFSS_Fortuna
- Download ATD-12K and unzip it, rename atd_test2k to dataset
- Put the dataset to the root of eval.py
- Run eval.py and see result at 'loss.csv'
PSNR: 29.22 SSIM: 0.932 LPIPS: 0.048
Also, have a look on VideoFlow’s First VFI application, VFSS!
Optical Flow: GMFlow
Video Interpolation: SoftSplat-Full SoftSplat AnimeInterp EISAI ECCV2022-RIFE
This project is sponsored by SVFI Development Team