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Generative Adversarial Networks (GANs): Challenges, Solutions, and Future Directions
, 2020 Generative Adversarial Networks (GANs) is a novel class of deep generative models which has recently gained significant attention. GANs learns complex and high-dimensional distributions implicitly over images, audio, and data. However, there exists major
Cao, Jiannong, Saxena, Divya
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Incertitudes et Fiabilité des Systèmes MultiphysiquesAdditive manufacturing, has shown great promises, offering unexpectable design freedom and manufacturing flexibility. but traditional design methodologies cannot fully exploit the functionality of am. this study explores the impact of generative
Omar Lkadi +2 more
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Construction Economics and Building, 2021 Digital fabrication leads architects and structural engineers to modify the design optimisation methodology. The designers, as never before, are facing new technologies developed in the search for new materials based, among others, on wood components and
Anna Stefańska +3 more
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Discrete Mathematics, 2013 Generalized $t$-designs, which form a common generalization of objects such as $t$-designs, resolvable designs and orthogonal arrays, were defined by Cameron [P.J. Cameron, A generalisation of $t$-designs, \emph{Discrete Math.}\ {\bf 309} (2009), 4835--4842].
Robert F. Bailey, Andrea C. Burgess
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Functional Generative Design: An Evolutionary Approach to 3D-Printing
, 2018 Consumer-grade printers are widely available, but their ability to print complex objects is limited. Therefore, new designs need to be discovered that serve the same function, but are printable.
Chockchowwat, Supawit +3 more
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How generative AI supports human in conceptual design
Design ScienceGenerative Artificial Intelligence (Generative AI) is a collection of AI technologies that can generate new information such as texts and images. With its strong capabilities, Generative AI has been actively studied in creative design processes. However,
Liuqing Chen +5 more
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DesIGN: Design Inspiration from Generative Networks [PDF]
, 2019 Can an algorithm create original and compelling fashion designs to serve as an inspirational assistant? To help answer this question, we design and investigate different image generation models associated with different loss functions to boost creativity in fashion generation.
Othman Sbai +4 more
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Generative vs. Non-Generative Models in Engineering Shape Optimization
Journal of Marine Science and EngineeringGenerative models offer design diversity but tend to be computationally expensive, while non-generative models are computationally cost-effective but produce less diverse and often invalid designs. However, the limitations of non-generative models can be
Zahid Masood +4 more
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Architectural authorship in generative design [PDF]
, 2007 The emergence of evolutionary digital design methods, relying on the creative generation of novel forms, has transformed the design process altogether and consequently the role of the architect.
Theodoropoulou, A.
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source