“DynaPix: Normal Map Pixelization for Dynamic Lighting” by Gandeaga, Iliash, Careaga and Aksoy

  • ©

Conference:


Type(s):


Entry Number: 38

Title:

    DynaPix: Normal Map Pixelization for Dynamic Lighting

Presenter(s)/Author(s):



Abstract:


    This work introduces DynaPix, a Krita extension that automatically generates pixelated images and surface normals from an input image. DynaPix is a tool that aids pixel artists and game developers more efficiently develop 8-bit style games and bring them to life with dynamic lighting through normal maps that can be used in modern game engines such as Unity. The extension offers artists a degree of flexibility as well as allows for further refinements to generated artwork. Powered by out of the box solutions, DynaPix is a tool that seamlessly integrates in the artistic workflow.

References:


    Finn Morgan. 2014. Sprite Lamp. http://www.spritelamp.com/Google Scholar
    Richard Nagyfi. 2021. pyxelate. https://github.com/sedthh/pyxelateGoogle Scholar
    Amir R. Zamir, Alexander Sax, Nikhil Cheerla, Rohan Suri, Zhangjie Cao, Jitendra Malik, and Leonidas J. Guibas. 2020. Robust Learning Through Cross-Task Consistency. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 11194–11203. https://doi.org/10.1109/CVPR42600.2020.01121Google Scholar


ACM Digital Library Publication:



Overview Page: