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September 5, 2025Open Access

Enhanced Optical Flow Estimation via Multiscale Kernel Selection and Super-Resolution Integration

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Authors

HGHaoxin GuoYWYifan WangGXGuo Xiao-bo

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Overview

Refined optical flow network improves accuracy using multiscale kernel selection and super-resolution, indicating enhanced feature capture in complex scenes.

Key Points

  • Results show significant accuracy improvements on datasets like Sintel and FlyingChairs.
  • A context network enhances adaptability and feature capture through multiscale kernel selection.
  • The parameter-free Swift 3D weighted attention mechanism dynamically adjusts the importance of features.
  • The integration of super-resolution techniques allows for better fine-grained feature enhancement.

Cite This Study

Guo et al. (2025) studied this question.

synapsesocial.com/papers/68bb3d552b87ece8dc95600chttps://doi.org/10.21203/rs.3.rs-7161624/v1
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