Roc R. Currius

  • Computer Graphics and
  • Game Engine Programming

Real-Time Hair Filtering with Convolutional Neural Networks

Roc R. Currius, Ulf Assarsson, Erik Sintorn


Rendering of realistic-looking hair is in general still too costly to do in real-time applications, from simulating the physics to rendering the fine details required for it to look natural, including self-shadowing.

We show how an autoencoder network, that can be evaluated in real time, can be trained to filter an image of few stochastic samples, including self-shadowing, to produce a much more detailed image that takes into account real hair thickness and transparency.


    author = {Currius, R. R. and Assarsson, U. and Sintorn, E.},
    title = {Real-Time Hair Filtering with Convolutional Neural Networks},
    booktitle = {Proceedings of the ACM on Computer Graphics and Interactive Techniques},
    doi = {10.1145/3522606},
    year = {2022}
    issue_date = {May 2022},
    journal = {Proc. ACM Comput. Graph. Interact. Tech.},
    volume = {5},
    number = {1},
    articleno = {15},