# A filter based approach for inbetweening

arXiv: https://arxiv.org/abs/1706.03497 · HTML: https://mlsanity.com/paper/1706.03497/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Jun 2017.

## Built on by (most cited first, 1 of 1)

- [Improving the Perceptual Quality of 2D Animation Interpolation](https://mlsanity.com/paper/2111.12792/) (2021)

## Abstract (arXiv)

We present a filter based approach for inbetweening. We train a convolutional neural network to generate intermediate frames. This network aim to generate smooth animation of line drawings. Our method can process scanned images directly. Our method does not need to compute correspondence of lines and topological changes explicitly. We experiment our method with real animation production data. The results show that our method can generate intermediate frames partially.