Acoustic Reliefs
We present a framework to optimize and generate Acoustic Reliefs : acoustic diffusers that not only perform well acoustically in scattering sound uniformly in all directions, but are also visually interesting and can approximate user-provided images. To this end, we develop a differentiable acoustics simulator based on the boundary element method, and integrate it with a differentiable renderer coupled with a vision model to jointly optimize for acoustics, appearance, and fabrication constraints at the same time. We generate various examples and fabricate two room-scale reliefs. The result is a validated simulation and optimization scheme for generating acoustic reliefs whose appearances can be guided by a provided image.
Authors
- Bernd Bickel (ORCID: https://orcid.org/0000-0001-6511-9385)
- Doug L. James (ORCID: https://orcid.org/0000-0003-3532-8383)
- Michal Piovarči (ORCID: https://orcid.org/0000-0002-5062-4474)
- Jeremy Chew (ORCID: https://orcid.org/0000-0002-8095-1951)
- Kangrui Xue (ORCID: https://orcid.org/0000-0003-0222-1993)
Institutions
- ETH Zurich (CH)
- Stanford University (US)
Publication Details
- Journal
- ACM Transactions on Graphics
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1145/3763287
- Primary Topic
- Generative Adversarial Networks and Image Synthesis
- Type
- article
- Field-Weighted Citation Impact
- 0.00