arXiv:2105.13482
공식 코드 · Papers with Code
FastRIFE: Optimization of Real-Time Intermediate Flow Estimation for Video Frame Interpolation
원문 초록
The problem of video inter-frame interpolation is an essential task in the field of image processing. Correctly increasing the number of frames in the recording while maintaining smooth movement allows to improve the quality of played video sequence, enables more effective compression and creating a slow-motion recording. This paper proposes the FastRIFE algorithm, which is some speed improvement of the RIFE (Real-Time Intermediate Flow Estimation) model. The novel method was examined and compared with other recently published algorithms. All source codes are available at https://gitlab.com/malwinq/interpolation-of-images-for-slow-motion-videos
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AceVFI: A Comprehensive Survey of Advances in Video Frame Interpolation
Time-adaptive Video Frame Interpolation based on Residual Diffusion
EGVD: Event-Guided Video Diffusion Model for Physically Realistic Large-Motion Frame Interpolation
Event-Based Video Frame Interpolation With Cross-Modal Asymmetric Bidirectional Motion Fields
GaraMoSt: Parallel Multi-Granularity Motion and Structural Modeling for Efficient Multi-Frame Interpolation in DSA Images
SfM-Free 3D Gaussian Splatting via Hierarchical Training
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