Unsupervised Video Interpolation Using Cycle Consistency

Unsupervised Video Interpolation Using Cycle Consistency

UCF CRCV via YouTube Direct link

Experiment: Qualitative Results

24 of 26

24 of 26

Experiment: Qualitative Results

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Classroom Contents

Unsupervised Video Interpolation Using Cycle Consistency

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  1. 1 Intro
  2. 2 Overview
  3. 3 Frame Interpolation Techniques
  4. 4 Sparse Optical Flow
  5. 5 Common Frame Interpolation Implementation
  6. 6 Bi-directional flow-guided Interpolation
  7. 7 Super SloMo: Base Supervised Architecture
  8. 8 Limitations on the state-of-the-art
  9. 9 Unsupervised Video Interpolation
  10. 10 Unsupervised Interpolation
  11. 11 Cycle Consistency GAN
  12. 12 Cycle Consistency Cost Function
  13. 13 Time Domain Consistency Constraint
  14. 14 Pseudo Supervised Loss
  15. 15 Primary Objective Function
  16. 16 Final Training Loss Function
  17. 17 Dataset and Metrics
  18. 18 Experiment Setup: Datasets Used
  19. 19 Experiment Setup: Training
  20. 20 Evaluation Methods
  21. 21 Experiment: Low Resolution Unsupervised Training
  22. 22 Experiment: Domain Gap Testing
  23. 23 Experiment: Fine Tune Domain Transfer
  24. 24 Experiment: Qualitative Results
  25. 25 Ablation: Optimal Weights
  26. 26 Conclusion

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