# Learning Stylized Character Expressions from Humans

arXiv: https://arxiv.org/abs/1911.08591 · HTML: https://mlsanity.com/paper/1911.08591/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 Nov 2019.

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

- [Deep Learning Based Facial Retargeting Using Local Patches](https://mlsanity.com/paper/2601.08429/) (2026)

## Abstract (arXiv)

We present DeepExpr, a novel expression transfer system from humans to multiple stylized characters via deep learning. We developed : 1) a data-driven perceptual model of facial expressions, 2) a novel stylized character data set with cardinal expression annotations : FERG (Facial Expression Research Group) - DB (added two new characters), and 3) . We evaluated our method on a set of retrieval tasks on our collected stylized character dataset of expressions. We have also shown that the ranking order predicted by the proposed features is highly correlated with the ranking order provided by a facial expression expert and Mechanical Turk (MT) experiments.