Perspectives: from its origins in nature, which is essentially blind, to humansĪnd machines, and from generating creative ideas to evaluating and learning Modeling Creativity examines creativity in a number of different University College of Art & Design Antwerp) under the supervision of Lucas
Prior research wasĪlso conducted at the Experimental Media Research Group (EMRG, St. The research was conducted inĢ008-2012 at the Computational Linguistics Research Group (CLiPS, University ofĪntwerp) under the supervision of Prof. Interesting new idea, a subjective opinion. Models that exhibit creativity in an artistic context, that is, that areĬapable of generating or evaluating an artwork (visual or linguistic), an Modeling Creativity (doctoral dissertation, 2013) explores how creativity canīe represented using computational approaches. Our analysis of the generated images confirms that visual meaning-making is a subtle interaction between all elements in a picture, for which Vismantic demands more visual semantic knowledge, higher image analysis and synthesis skills, and the ability of interpreting composed images, in order to deliver more ideas that make sense.
In an informal evaluation consisting of five communication tasks, Vismantic demonstrated the potential of producing a number of expressive and diverse ideas, among which many are surprising.
In particular, Vismantic extends our previous work on using conceptual knowledge to find diverse visual representations of abstract concepts, with the capacity of combining two images in three ways, including juxtaposition, replacement and fusion. It implements a process of developing visual solutions from ‘what to say’ to ‘how to say’, which requires both conceptual and visual creativity. This paper presents Vismantic, a semi-automatic system generating proposals of visual composition (visual ideas) in order to express specific meanings.
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