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