Page 728 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

5 References

[1] Di, X., & Yu, P. Q. (2021). Deep Reinforcement Learning for Producing Furniture Layout in
Indoor Scenes. arXiv preprint arXiv:2101.07462. https:// arxiv .org/ abs/ 2101 .074621

[2] Roy, U. K., & Roy, M. (n.d.). Space standardisation of low-income housing units in India.
Channel i. Retrieved from https:// channeli .in/ media/ faculty _biodata/ papers/ caf820fa -5f9d
-4774 -8e80 -cb997b8a22ab .pdf2

[3] Wang, Y., et al. (2024). I-Design: Personalized LLM Interior Designer. arXiv preprint
arXiv:2404.02838. https:// arxiv .org/ html/ 2404 .02838v13

[4] Apple Inc. (2022). Create parametric 3D room scans with RoomPlan. WWDC22. https://
developer .apple .com/ videos/ play/ wwdc2022/ 10127/ 4

[5] Wang, X., et al. (2023). Floor Segmentation Approach Using FCM and CNN. Applied
Technology and Artificial Intelligence in Machine Learning, 2(1). https:// www .acadlore .com/
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[6] van Rees, E. (2021). RIEGL 3D Voxel Analysis Module enables surface comparisons in
underground, cave, or tunnel environments. Geo Week News. https:// www .geoweeknews
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-or -tunnel -environments6

[7] Planner 5D. (2024). AI floor plan generator. https:// planner5d .com/ use/ ai -floor -plan
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[8] Voxelgrid. (2024). 2D digitalization. https:// www .voxelgrid .com/ en/ 2d -digitalization ?tab
= 09
[9] Maket AI. (2024). Maximizing Efficiency in Architecture with AI Floor Plan Generators. https://
www .maket .ai/ post/ maximizing -efficiency -in -architecture -with -ai -floor -plan -generators10

[10] Di, X., & Yu, P. Q. (2021). Deep Reinforcement Learning for Furniture Layout Simulation
in Indoor Graphics Scenes. SIMDL. https:// simdl .github .io/ files/ 2 .pdf

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