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Found 3 papers, 1 papers with code
Deep Video Color Propagation
Traditional approaches for color propagation in videos rely on some form of matching between consecutive video frames.
PhaseNet for Video Frame Interpolation
We show that this is superior to the hand-crafted heuristics previously used in phase-based methods and also compares favorably to recent deep learning based approaches for video frame interpolation on challenging datasets.
Phase-Based Frame Interpolation for Video
Standard approaches to computing interpolated (in-between) frames in a video sequence require accurate pixel correspondences between images e. g. using optical flow.
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