Automation in Interior Space Planning: Utilizing Conditional Generative Adversarial Network Models to Create Furniture Layouts
In interior space planning, the furnishing stage usually entails manual iterative processes, including meeting design objectives, incorporating professional input, and optimizing design performance. Machine learning has the potential to automate and improve interior design processes while maintainin...
Main Authors: | Tanasra, Hanan, Rott Shaham, Tamar, Michaeli, Tomer, Austern, Guy, Barath, Shany |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Published: |
Multidisciplinary Digital Publishing Institute
2023
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Online Access: | https://hdl.handle.net/1721.1/151180 |
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