| Theme: | This Master’s thesis bridges product and interior design through the use of state-of-the-art AI methods. The focus is on the design of a piece of furniture that is not only functional but also contextually embedded. Using tools such as text-to-3D models, equirectangular imaging, and generative design techniques (e.g., Gaussian Splatting), a digitally and physically realized design will emerge. An additional focus may lie in geometry and typology optimization, particularly for fabrication, exploring how generated models can be made production-ready. | |
| Goal: | The goal of this thesis is to conceptualize, visualize, and additively fabricate (3D print) a piece of furniture embedded in a fully AI-generated interior design concept. The process should be documented and critically assessed in terms of creativity, efficiency, and feasibility of AI-supported design approaches. | |
| Preferred background: | Master of Architecture, Computer Science, Media Informatics LMU | |
| Requirements: | AI-supported design and visualization workflows, text-to-3D generation, VR/AR visualization, 3D printing, critical reflection of digital design strategies | |
| Contact: | Clemens Lindner (clemens.lindner(at)zaha-hadid.com) Christoph Geiger (christoph.geiger(at)zaha-hadid.com) |
AI Furniture Futures – Designing and Fabricating with Multi-Modal AI Tools
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