Pinan Wu and Yingjuan Dong
[1] X. Nie, S. Huang, X. Gao, J. Luo, G. Zhang, MRAM: Multi-scaleregional attribute-weighting via meta-learning for personalizedimage aesthetics assessment, Knowledge-Based Systems, 304,2024, 112546. [2] K. Sun, P. Zhang, J. Zhang, J. Tao, K. Yuan, “PFNet:Attribute-aware personalized fashion editing with explainablefashion compatibility analysis,” Information Processing &Management, 61(1), 103540, 2024. [3] M. Mladineo, M. Crnjac Zizic, A. Aljinovic, N. Gjeldum,“Towards a knowledge-based cognitive system for industrialapplication: Case of personalized products,” Journal ofIndustrial Information Integration, 27, 100284, 2022. [4] J. Ren, J. Qin, Q. Ma, Y. Cao “FastFaceCLIP: A lightweighttext-driven high-quality face image manipulation,” IETComputer Vision, 2024. [5] M. Bekrani, R. Bibak, M. Lotfizad, “Improved clipped affineprojection adaptive algorithm,” IET Signal Processing, 13(1),103-111, 2019. [6] S.P. Raja, “Line and polygon clipping techniques on naturalimages - a mathematical solution and performance evalua-tion,” International Journal of Image and Graphics, 19(2),2019. [7] H. Wang, G. Lin, A.G. del Molino, A. Wang, J. Feng, Z. Shen,“ManiCLIP: Multi-attribute face manipulation from text,”International Journal of Computer Vision, 2024. [8] G. Kwon, J.C. Ye, “One-shot adaptation of GAN in just oneCLIP,” IEEE Transactions on Pattern Analysis and MachineIntelligence, 45(10), 12179-12191, 2023. [9] C. Onuoha, J. Flaherty, T.C. Thang, “Perceptual image qualityprediction: are contrastive language-image pretraining (CLIP)visual features effective?” Electronics, 13(4), 2024. [10] H. Zhao, G. Jin, X. Jiang, M. Li, “SDE-RAE: CLIP-basedrealistic image reconstruction and editing network usingstochastic differential diffusion,” Image and Vision Computing,139, 2023. [11] R. Gal, O. Patashnik, H. Maron, A.H. Bermano, G.Chechik, D. Cohen-Or, “StyleGAN-NADA: CLIP-guideddomain adaptation of image generators,” ACM Transactionson Graphics, 41(4), 2022. [12] Y. Wu, H. Zhao, W. Chen, Y. Yang, J. Bu, “TextStyler: ACLIP-based approach to text-guided style transfer,” Computers& Graphics-Uk, 119, 2024. [13] Z. Pan, X. Li, L. Cui, Z. Zhang, “Video clip recommendationmodel by sentiment analysis of time-sync comments,”Multimedia Tools and Applications, 79(45-46), 33449-33466,2020. [14] H.T. Jia, “Adaptive style transfer method of art worksbased on laplace operator,” International Journal ofAdvanced Computer Science and Applications, 14(7), 100-109,2023. [15] S. Li, “Application of artificial intelligence-based style transferalgorithm in animation special effects design,” Open ComputerScience, 13(1), 2023. [16] J. Guo, L. Wang, “Application of style transfer algorithmin interactive art design of mobile phone interface,” MobileInformation Systems, 2022, 2022.263 [17] R. Padmanaban, M. Thirumaran, P. Anitha, A. Moshika,“Computability evaluation of RESTful API using PrimitiveRecursive Function,” Journal of King Saud University-Computer and Information Sciences, 34(2), 457-467, 2022. [18] J. Zheng, “Design and application of intelligent processingtechnology for animation images based on deep learning,”Mobile Information Systems, 2022, 2022. [19] X. Kong, Y. Deng, F. Tang, W. Dong, C. Ma, Y. Chen,Z. He, C. Xu, “Exploring the temporal consistency of arbitrarystyle transfer: a channelwise perspective,” IEEE Transactionson Neural Networks and Learning Systems, 35(6), 8482-8496,2024. [20] K. Sellami, A. Ouni, M.A. Saied, S. Bouktif,M.W. Mkaouer, “Improving microservices extraction usingevolutionary search,” Information and Software Technology,151, 2022. [21] Y. Huang, M. Jing, J. Zhou, Y. Liu, Y. Fan, “LCCStyle:Arbitrary style transfer with low computational complexity,”IEEE Transactions on Multimedia, 25, 501-514, 2023. [22] D. Chen, “Packaging beautification design based on visualimage and personalized pattern matching,” InternationalJournal of Advanced Computer Science and Applications,15(2), 66-74, 2024. [23] D. Huang, D. Feng, Q. Liu, B. Ding,W. Zhao, X. Wei, W. Tong, “SplitZNS: Towards an efficientLSM-Tree on zoned namespace SSDs,” ACM Transactions onArchitecture and Code Optimization, 20(3), 2023. [24] W. Hu, H. Song, F. Zhang, Y. Zhao, X. Shi, “Style transferof thangka images highlighting style attributes,” IEEE Access,11, 104817-104829, 2023. [25] A. Yang, M. Kashif Hanif, “Visual resource extraction andartistic communication model design based on improvedCycleGAN algorithm,” Peerj Computer Science, 10, 2024. [26] J. He, “Exploring style transfer algorithms in Animation:Enhancing visual,” Entertainment Computing, 49, 100625,2024. [27] M.K.H. Kanchon, M. Sadman, K.F. Nabila, R. Tarannum,R. Khan, “Enhancing personalized learning: AI-driven identi-fication of learning styles and content modification strategies,”International Journal of Cognitive Computing in Engineering,5, 269-278, 2024. [28] J.W. Li , X. Cao, X.Y. Huang, “ROV target grasping strategybased on visual perception,” International Journal of Roboticsand Automation, 39(3), 229-238, 2024. [29] .D. Chen, B.H. Qiang, M.L. Zhou, S.B. Zhang, H. Zheng,C.H. Tang, “An adversarial and deep hashing-based hierarchicalsupervised cross-modal image and text retrieval algorithm,”International Journal of Robotics and Automation, 39(1), 77-86, 2024. [30] A. Khamaj, A.M. Ali, “Adapting user experience withreinforcement learning: Personalizing interfaces based onuser behavior analysis in real-time,” Alexandria EngineeringJournal, 95, 164-173, 2024. [31] J.K. Lee, H. Jeong, Y. Kim, S.H. Cha, “Creating spatial visual-izations using fine-tuned interior design style models informedby user preferences,” Advanced Engineering Informatics, 62,102686, 2024. [32] S. Liu, Q. Zhang, L. Huang, “Edge computing-based GenerativeAdversarial Network for photo design style transfer usingconditional entropy distance,” Computer Communications,210, 174-182, 2023.
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