Generating Retopology for 3D Character Models in the Animated Short Film ‘GENERATE’

DOI

10.2991/978-94-6463-982-7_17How to use a DOI?

Keywords

Topology; Retopology; Deformation; Character Modeling

Abstract

In the 3D animation production of Generate, the character model used had an inadequate topology. The animation department complained about the character’s poor deformation, which made it difficult to achieve certain movements. In 3D modeling, topology not only determines the shape of an object when static, but also determines how it will look when deformed. Retopology is the process of creating a new mesh from an existing model with optimal topology. A qualitative case study approach was employed in this research to examine the impact of retopology on the quality of Azis’s character model, specifically its deformation. Primary data were collected through observations of the character model, and secondary data were sourced from the literature, including “Topology Workbook Volume 1” by William Vaughan and “Squeaky Clean Topology in Blender” by Michael Steppig. The results showed that retopology can effectively address deformation issues in character models, simplify the weight-painting process, and maintain the character’s form. The results of this study are expected to serve as a reference for 3D animation production, particularly in character modeling.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Selly Artaty Zega
AU  - Zaki Naufal Hanif
PY  - 2025
DA  - 2025/12/29
TI  - Generating Retopology for 3D Character Models in the Animated Short Film ‘GENERATE’
BT  - Proceedings of the  8th International Conference on Applied Engineering (ICAE 2025)
PB  - Atlantis Press
SP  - 281
EP  - 298
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-982-7_17
DO  - 10.2991/978-94-6463-982-7_17
ID  - Zega2025
ER  -