Demonstration of TactStyle: Generating Tactile Textures with Generative AI for Digital Fabrication
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Author(s) • • • • • •
Faruqi, Faraz
Perroni-Scharf, Maxine
Walia, Jaskaran
Zhu, Yunyi
Feng, Shuyue
Degraen, Donald
Mueller, Stefanie
Date Issued
April 25, 2025
Publisher
Association for Computing Machinery
Citation
Faraz Faruqi, Maxine Perroni-Scharf, Jaskaran Singh Walia, Yunyi Zhu, Shuyue Feng, Donald Degraen, and Stefanie Mueller. 2025. Demonstration of TactStyle: Generating Tactile Textures with Generative AI for Digital Fabrication. In Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '25). Association for Computing Machinery, New York, NY, USA, Article 723, 1–5.
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Final published version
Abstract
Recent work in Generative AI enables the stylization of 3D models based on image prompts. However, these methods do not incorporate tactile information, leading to designs that lack the expected tactile properties. We present TactStyle, a system that allows creators to stylize 3D models with images while incorporating the expected tactile properties. TactStyle accomplishes this using a modified image-generation model fine-tuned to generate heightfields for given surface textures. By optimizing 3D model surfaces to embody a generated texture, TactStyle creates models that match the desired style and replicate the tactile experience. We present TactStyle’s user interface to create stylized 3D models with accurate textures, present multiple textured tiles for blind perception experience, and present five application scenarios with fabricated 3D models.
Description
Computing Systems (CHI EA ’25), April 26–May 01, 2025, Yokohama, Japan
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1145/3706599.3721278