ComfyUI Frame Interpolation (ComfyUI VFI) (WIP)

python install.py

@InProceedings{Kong_2022_CVPR, 
  author = {Kong, Lingtong and Jiang, Boyuan and Luo, Donghao and Chu, Wenqing and Huang, Xiaoming and Tai, Ying and Wang, Chengjie and Yang, Jie}, 
  title = {IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation}, 
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, 
  year = {2022}
}

@InProceedings{hu2022m2m,
    title={Many-to-many Splatting for Efficient Video Frame Interpolation},
    author={Hu, Ping and Niklaus, Simon and Sclaroff, Stan and Saenko, Kate},
    journal={CVPR},
    year={2022}
    }

@inproceedings{huang2022rife,
  title={Real-Time Intermediate Flow Estimation for Video Frame Interpolation},
  author={Huang, Zhewei and Zhang, Tianyuan and Heng, Wen and Shi, Boxin and Zhou, Shuchang},
  booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
  year={2022}
}

@inproceedings{reda2022film,
 title = {FILM: Frame Interpolation for Large Motion},
 author = {Fitsum Reda and Janne Kontkanen and Eric Tabellion and Deqing Sun and Caroline Pantofaru and Brian Curless},
 booktitle = {European Conference on Computer Vision (ECCV)},
 year = {2022}
}

@misc{film-tf,
  title = {Tensorflow 2 Implementation of "FILM: Frame Interpolation for Large Motion"},
  author = {Fitsum Reda and Janne Kontkanen and Eric Tabellion and Deqing Sun and Caroline Pantofaru and Brian Curless},
  year = {2022},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/google-research/frame-interpolation}}
}

[1]  @inproceedings{Niklaus_WACV_2021,
         author = {Simon Niklaus and Long Mai and Oliver Wang},
         title = {Revisiting Adaptive Convolutions for Video Frame Interpolation},
         booktitle = {IEEE Winter Conference on Applications of Computer Vision},
         year = {2021}
     }

[2]  @inproceedings{Niklaus_ICCV_2017,
         author = {Simon Niklaus and Long Mai and Feng Liu},
         title = {Video Frame Interpolation via Adaptive Separable Convolution},
         booktitle = {IEEE International Conference on Computer Vision},
         year = {2017}
     }

[3]  @inproceedings{Niklaus_CVPR_2017,
         author = {Simon Niklaus and Long Mai and Feng Liu},
         title = {Video Frame Interpolation via Adaptive Convolution},
         booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
         year = {2017}
     }

@inproceedings{licvpr23amt,
   title={AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation},
   author={Li, Zhen and Zhu, Zuo-Liang and Han, Ling-Hao and Hou, Qibin and Guo, Chun-Le and Cheng, Ming-Ming},
   booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
   year={2023}
}

@InProceedings{Danier_2022_CVPR,
    author    = {Danier, Duolikun and Zhang, Fan and Bull, David},
    title     = {ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2022},
    pages     = {3521-3531}
}

@article{kalluri2021flavr,
  title={FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation},
  author={Kalluri, Tarun and Pathak, Deepak and Chandraker, Manmohan and Tran, Du},
  booktitle={arxiv},
  year={2021}
}