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Another AI? Artificial Imagination for Artistic Mind Map Generation
Origin paper
Another AI? Artificial Imagination for Artistic Mind Map Generation
Ruixue Liu, Baoyang Chen, Xiaoyu Guo, Meng Chen, Zhijie Qiu, Xiaodong He
2019
From Knowledge Map to Mind Map: Artificial Imagination
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Mappa Mundi: An Interactive Artistic Mind Map Generator with Artificial Imagination
Ruixue Liu, Baoyang Chen, Meng Chen, Youzheng Wu, Zhijie Qiu, Xiaodong He
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Recognition of Significance of Painting from Life in Image Era
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Analysis of the Make-up and Colors on the Cosmetic Commercial Advertisement
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Correlates between imagination types and abilities in designing works
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Efficient Video Data Structure and Compression Scheme for Fabric Wicking Phenomenon Studies
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Solving Jigsaw Puzzles via Hausdorff-Based Border Compatibility
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End-to-end speech recognition models using limited training data*
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Learning from multi-domain artistic images for arbitrary style transfer
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Instance-Aware Coherent Video Style Transfer for Chinese Ink Wash Painting
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Learning Invariant Representation for Unsupervised Image Restoration
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Text-to-Painting on a Large Variance Dataset with Sequential Generative Adversarial Networks
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Person Transfer GAN to Bridge Domain Gap for Person Re-identification
Longhui Wei, Shiliang Zhang, Wen Gao, Q. Tian
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Chip-SAGAN: A Self-Attention Generative Adversarial Network for Chinese Ink Wash Painting Style Transfer
Jiaoju Zhou, Feng Gao, Xuebo Yang, Weiyang Lin
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InkGAN: Generative Adversarial Networks for Ink-And-Wash Style Transfer of Photographs
Keyi Yu, Yu Wang, Sihan Zeng, Chendi Liang, Xiaoyu Bai, Dachi Chen, Wenping Wang
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A Chinese acoustic model based on convolutional neural network
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Controllable style transfer of ink painting textures via contrastive learning
Yan Cao, Yi Zhang, Kaijun Wu, Yingjie Lin
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Image synthesis in contrast MRI based on super resolution reconstruction with multi-refinement cycle-consistent generative adversarial networks
Kun Wu, Yan Qiang, Kai Song, X. Ren, Wenkai Yang, Wanjun Zhang, Akbar Hussain, Yanfen Cui
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M. Bai, Pin Lv, Xu Long
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Hanbit Lee, Sang-goo Lee
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Jiangbo Yuan, Bing Wu, Wanying Ding, Q. Ping, Zhendong Yu
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Image Captioning with Clause-Focused Metrics in a Multi-modal Setting for Marketing
Philipp Harzig, D. Zecha, R. Lienhart, Carolin Kaiser, René Schallner
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Liuling Dai, B. Liu, Yuning Xia, ShiKun Wu
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RenderGAN: GAN Based Texture Rendering
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Cross-spectrum thermal to visible face recognition based on cascaded image synthesis
Khawla Mallat, N. Damer, Fadi Boutros, Arjan Kuijper, J. Dugelay
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RPD-GAN: Learning to Draw Realistic Paintings With Generative Adversarial Network
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20082024
Person Transfer GAN to Bridge Domain Gap for Person Re-identificationLearning Invariant Representation for Unsupervised Image RestorationMeasuring Semantic Similarity between Words Using HowNetRPD-GAN: Learning to Draw Realistic Paintings With Generative Adversarial NetworkCross-spectrum thermal to visible face recognition based on cascaded image synthesisLearning from multi-domain artistic images for arbitrary style transferAn Interactive and Generative Approach for Chinese Shanshui Painting DocumentImage synthesis in contrast MRI based on super resolution reconstruction with multi-refinement cycle-consistent generative adversarial networksCan AI fully replace human designers? Matching effects between declared creator types and advertising appeals on tourists’ visit intentionsFashion Attributes-to-Image Synthesis Using Attention-Based Generative Adversarial NetworkInkGAN: Generative Adversarial Networks for Ink-And-Wash Style Transfer of PhotographsFrom Knowledge Map to Mind Map: Artificial ImaginationThe influence of advertising creativity on the effectiveness of commercial and public service advertisements: A dual‐task studyInstance-Aware Coherent Video Style Transfer for Chinese Ink Wash PaintingAnother AI? Artificial Imagination for Artistic Mind Map GenerationComparison Of Consumers Perception Between Human Generated And Ai Aided Brand ContentCorrelates between imagination types and abilities in designing worksA Chinese acoustic model based on convolutional neural networkLexical Sememe Prediction with RNN and Modern Chinese DictionaryWilderness in Ancient Chinese Landscape PaintingRecent advances in artificial intelligence generated contentSmart advertising design: a visual aesthetic effect improvement based on image data analysisImage Captioning with Clause-Focused Metrics in a Multi-modal Setting for MarketingTowards a comprehensive repair framework for human-chatbot interaction: the case of rephrasingPaired-D++ GAN for image manipulation with textRecognition of Significance of Painting from Life in Image EraBranched Generative Adversarial Networks for Multi-Scale Image Manifold LearningText-to-Painting on a Large Variance Dataset with Sequential Generative Adversarial NetworksStudy on Communication Advantage and Creation Strategy of Suspense AdvertisementSupplemental Material for Spirit Behind Appearance: Facial Motion Increases Facial Attractiveness Through Perceived VitalityAnalysis of the Make-up and Colors on the Cosmetic Commercial AdvertisementEfficient Video Data Structure and Compression Scheme for Fabric Wicking Phenomenon StudiesGive Me a Hand: A Scene-Fit Hand Posture Drawing AidSolving Jigsaw Puzzles via Hausdorff-Based Border CompatibilityChip-SAGAN: A Self-Attention Generative Adversarial Network for Chinese Ink Wash Painting Style TransferMappa Mundi: An Interactive Artistic Mind Map Generator with Artificial ImaginationGeneration of Chinese Tang Dynasty Poetry Based on BERT ModelAdversarial Code Learning for Image GenerationControllable style transfer of ink painting textures via contrastive learningEnd-to-end speech recognition models using limited training data*RenderGAN: GAN Based Texture RenderingWei, 2017Du, 2020Dai, 2008Gao, 2020Mallat, 2019Xu, 2018Zhou, 2019Wu, 2019Song, 2024Lee, 2019Yu, 2023Liu, 2019Shen, 2021Liang, 2021Liu, 2019AnanthakrishnanTsai, 2022Zhang, 2019Bai, 2018Chen, 2020Zhang, 2024Guo, 2023Harzig, 2019Asisof, 2022Vo, 2022Yan, 2017Yi, 2018Özgen, 2020Yang, 2016Zheng, 2023이지현, 2011Wong, 2019Sun, 2022Shih, 2019Zhou, 2022Liu, 2019He, 2022Yuan, 2020Cao, 2024Kim, 2020Jung, 2020Wei, 2017Du, 2020Dai, 2008Gao, 2020Mallat, 2019Xu, 2018Zhou, 2019Wu, 2019Song, 2024Lee, 2019Yu, 2023Liu, 2019Shen, 2021Liang, 2021Liu, 2019AnanthakrishnanTsai, 2022Zhang, 2019Bai, 2018Chen, 2020Zhang, 2024Guo, 2023Harzig, 2019Asisof, 2022Vo, 2022Yan, 2017Yi, 2018Özgen, 2020Yang, 2016Zheng, 2023이지현, 2011Wong, 2019Sun, 2022Shih, 2019Zhou, 2022Liu, 2019He, 2022Yuan, 2020Cao, 2024Kim, 2020Jung, 2020
Ruixue Liu+ 4 authorsXiaodong He
2019, Int. J. Multim. Data Eng. Manag.
2 Citations
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This article presents a novel real-time, collaborative, and interactive AI painting system, Mappa Mundi, for artistic Mind Map creation. The system consists of a voice-based input interface, an automatic topic expansion module, and an image projection module. Imagination is one of the most important factors which makes an artistic painting unique and impressive. With the rapid development of artificial intelligence, more and more researchers try to create painting with AI technology. However, lacking imagination is still a main problem for AI painting. This research proposes a novel approach to inject rich imagination into a special kind of painting- Mind Map. Lexical and phonological similarities of respective seed words are first considered, then the system learns and inherits the artist's original painting style, and further applies Dadaism and impossibility of improvisation principles into the process. Several metrics for imagination evaluation are then developed later in the article. The result show that this proposed method can increase the imagination of painting and also improve its overall quality.