Corpus ID: 226306851

RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation

@article{Huang2020RIFERI,
  title={RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation},
  author={Zhewei Huang and Tianyuan Zhang and Wen Heng and Boxin Shi and Shuchang Zhou},
  journal={ArXiv},
  year={2020},
  volume={abs/2011.06294}
}
  • Zhewei Huang, Tianyuan Zhang, +2 authors Shuchang Zhou
  • Published 2020
  • Computer Science
  • ArXiv
  • We propose a real-time intermediate flow estimation algorithm (RIFE) for video frame interpolation (VFI). Most existing methods first estimate the bi-directional optical flows, and then linearly combine them to approximate intermediate flows, leading to artifacts around motion boundaries. We design an intermediate flow model named IFNet that can directly estimate the intermediate flows from coarse to fine. We then warp the input frames according to the estimated intermediate flows and employ a… CONTINUE READING

    Figures and Tables from this paper

    References

    SHOWING 1-10 OF 38 REFERENCES
    Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
    • 212
    • Highly Influential
    • PDF
    Depth-Aware Video Frame Interpolation
    • 80
    • Highly Influential
    • PDF
    BMBC: Bilateral Motion Estimation with Bilateral Cost Volume for Video Interpolation
    • 5
    • PDF
    Video Enhancement with Task-Oriented Flow
    • 160
    • Highly Influential
    • PDF
    Context-Aware Synthesis for Video Frame Interpolation
    • Simon Niklaus, Feng Liu
    • Computer Science
    • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
    • 2018
    • 122
    • PDF
    Quadratic video interpolation
    • 17
    • PDF
    Channel Attention Is All You Need for Video Frame Interpolation
    • 11
    • Highly Influential
    MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement
    • 56
    • Highly Influential
    • PDF
    LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation
    • 216
    • Highly Influential
    • PDF
    FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
    • 1,359
    • Highly Influential
    • PDF