Advanced Sensitive Feature Machine Learning for Aesthetic Evaluation Prediction of Industrial Products. [PDF]
J ImagingOuyang J +5 more
europepmc +1 more source
The most influential cephalometric factors affecting variations in the nasolabial angle: A cross-sectional regression study. [PDF]
J Clin Exp DentDíaz-Quevedo AA, Arriola-Guillén LE.
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Stable Diffusion Models Reveal a Persisting Human-AI Gap in Visual Creativity. [PDF]
Adv Sci (Weinh)Rondini S +8 more
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A deep learning framework for objective aesthetic evaluation of indoor landscapes using CNN-GNN model. [PDF]
Sci RepZheng Z, Yang D, Zeng L, Mughees N.
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The Minimum Semantic Content (MSC) Dataset: A Large, Balanced Resource for Computational Aesthetics Research. [PDF]
Sci DataPenacchio O +4 more
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Aesthetic Experience in the Acceptance of Wearable Technology for People With Dementia: Critical Interpretive Synthesis. [PDF]
JMIR AgingWei Y, Ratcliffe J, Aarsland D, Liu W.
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The Forgotten Triangular Space: Anatomy, Disease Mechanisms, and Contemporary Management of Interdental Embrasures-A Narrative Review. [PDF]
CureusJacob SA +5 more
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Perceptions on Facial Profile Aesthetics: A Survey of Young People and Orthodontists. [PDF]
J Clin Exp DentLarena-Morencos B +3 more
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Contemporary architectural aesthetic preferences based on popular AI images and models of the Civitai architect community. [PDF]
Sci RepWang Z, Wan T, Veniaminovna KO, Huang J.
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Image aesthetic quality assessment: A method based on deep convolutional capsule network. [PDF]
PLoS OneHu Y, Dong W, Zhang Y, Lu L.
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