Non-goal oriented dialogue agents: state of the art, dataset, and evaluation

Mehndiratta, Akanksha; Asawa, Krishna

doi:10.1007/s10462-020-09848-z

Cited by 3 publications

(1 citation statement)

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“…Inject new vitality into Chinese contemporary illustration design and make it glow with vitality [5]. In view of the current situation of the domestic illustration industry, we should create a new illustration design style, such as reinterpreting the traditional Chinese culture, constantly developing diverse traditional cultural elements, and applying them innovatively, so as to complete the transformation of traditional cultural elements into commercial values [6].…”

Section: Introductionmentioning

confidence: 99%

Application Model Construction of Traditional Cultural Elements in Illustration Design under Artificial Intelligence Background

Shi

2022

Mobile Information Systems

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The sustainable development of modern illustration art needs to dig deep into traditional culture in content and, on the basis of spreading cultural forms and improving cultural influence, supplement its own creative forms. The influence of AI (artificial intelligence) on illustration design not only is manifested in the optimization of illustration design tools and the improvement of design efficiency, but also makes the illustration design methods more diverse and promotes new breakthroughs in the illustration design concept under the influence of new technologies. In this paper, combining the advantages of two activation functions, SoftSign and ReLU, a new activation function, SReLU, is constructed and applied to CNN (Convolutional Neural Network). The multimode property of color prediction is modeled by quantifying ab color channels in Lab color space, and the introduction of GAN (Generative Adversarial Network) structure can make the whole model show better generation effect and improve the generation ability of image style conversion network. Results. The experiment proves the effectiveness of the method with high-quality image visual effect.

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Section: Introductionmentioning

confidence: 99%