no code implementations • 3 Aug 2022 • Shuzhi Yu, Hannah Halin Kim, Shuai Yuan, Carlo Tomasi
Unsupervised optical flow estimators based on deep learning have attracted increasing attention due to the cost and difficulty of annotating for ground truth.
1 code implementation • 8 Jul 2022 • Hannah Halin Kim, Shuzhi Yu, Shuai Yuan, Carlo Tomasi
We propose TAIN (Transformers and Attention for video INterpolation), a residual neural network for video interpolation, which aims to interpolate an intermediate frame given two consecutive image frames around it.
1 code implementation • 1 Nov 2021 • Hannah Halin Kim, Shuzhi Yu, Carlo Tomasi
Since appearance mismatches between frames often signal vicinity to MBs or Occs, we construct a cost block that for each feature in one frame records the lowest discrepancy with matching features in a search range.