Integrating aesthetics and efficiency: AI-driven diffusion models for visually pleasing interior design generation.

Chen J, Shao Z, Zheng X, Zhang K, Yin J

DOI: 10.1038/s41598-024-53318-3
Published: 2024 Feb 12
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-024-53318-3,
  title = {Integrating aesthetics and efficiency: AI-driven diffusion models for visually pleasing interior design generation.},
  author = {Chen J and Shao Z and Zheng X and Zhang K and Yin J},
  year = {2024},
  journal = {Scientific reports},
  doi = {10.1038/s41598-024-53318-3},
  url = {https://doi.org/10.1038/s41598-024-53318-3}
}

RIS

TY  - JOUR
TI  - Integrating aesthetics and efficiency: AI-driven diffusion models for visually pleasing interior design generation.
AU  - Chen J
AU  - Shao Z
AU  - Zheng X
AU  - Zhang K
AU  - Yin J
PY  - 2024
JO  - Scientific reports
DO  - 10.1038/s41598-024-53318-3
UR  - https://doi.org/10.1038/s41598-024-53318-3
ER  -

APA

J, C., Z, S., X, Z., K, Z., & J, Y. (2024). Integrating aesthetics and efficiency: AI-driven diffusion models for visually pleasing interior design generation.. Scientific reports. https://doi.org/10.1038/s41598-024-53318-3

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pubmed · retrieved 2026-09-27T15:02:39.829Z