Gotowa bibliografia na temat „Automatic Colorization”
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Artykuły w czasopismach na temat "Automatic Colorization"
Aoki, Terumasa, i Van Nguyen. "Global Distribution Adjustment and Nonlinear Feature Transformation for Automatic Colorization". Advances in Multimedia 2018 (2018): 1–15. http://dx.doi.org/10.1155/2018/1504691.
Pełny tekst źródłaAlam khan, Sharique, i Alok Katiyar. "Automatic colorization of natural images using deep learning". YMER Digital 21, nr 05 (20.05.2022): 946–51. http://dx.doi.org/10.37896/ymer21.05/a6.
Pełny tekst źródłaPrasanna, N. Lakshmi, Sk Sohal Rehman, V. Naga Phani, S. Koteswara Rao i T. Ram Santosh. "AUTOMATIC COLORIZATION USING CONVOLUTIONAL NEURAL NETWORKS". International Journal of Computer Science and Mobile Computing 10, nr 7 (30.07.2021): 10–19. http://dx.doi.org/10.47760/ijcsmc.2021.v10i07.002.
Pełny tekst źródłaNetha, Guda Pranay, M. S. S. Manohar, M. Sai Amartya Maruth i Ganjikunta Ganesh Kumar. "Colourization of Black and White Images using Deep Learning". International Journal of Computer Science and Mobile Computing 11, nr 1 (30.01.2022): 116–21. http://dx.doi.org/10.47760/ijcsmc.2022.v11i01.014.
Pełny tekst źródłaFarella, Elisa Mariarosaria, Salim Malek i Fabio Remondino. "Colorizing the Past: Deep Learning for the Automatic Colorization of Historical Aerial Images". Journal of Imaging 8, nr 10 (1.10.2022): 269. http://dx.doi.org/10.3390/jimaging8100269.
Pełny tekst źródłaXu, Min, i YouDong Ding. "Fully automatic image colorization based on semantic segmentation technology". PLOS ONE 16, nr 11 (30.11.2021): e0259953. http://dx.doi.org/10.1371/journal.pone.0259953.
Pełny tekst źródłaLiu, Shiguang, i Xiang Zhang. "Automatic grayscale image colorization using histogram regression". Pattern Recognition Letters 33, nr 13 (październik 2012): 1673–81. http://dx.doi.org/10.1016/j.patrec.2012.06.001.
Pełny tekst źródłaHuang, Zhitong, Nanxuan Zhao i Jing Liao. "UniColor". ACM Transactions on Graphics 41, nr 6 (30.11.2022): 1–16. http://dx.doi.org/10.1145/3550454.3555471.
Pełny tekst źródłaFurusawa, Chie. "2-1 Colorization Techniques for Manga and Line Drawings; Comicolorization: Semi-Automatic Manga Colorization". Journal of The Institute of Image Information and Television Engineers 72, nr 5 (2018): 347–52. http://dx.doi.org/10.3169/itej.72.347.
Pełny tekst źródłaSugumar, S. J. "Colorization of Digital Images: An Automatic and Efficient Approach through Deep learning". Journal of Innovative Image Processing 4, nr 3 (16.09.2022): 183–94. http://dx.doi.org/10.36548/jiip.2022.3.006.
Pełny tekst źródłaRozprawy doktorskie na temat "Automatic Colorization"
Hati, Yliess. "Expression Créative Assistée par IA : Le Cas de La Colorisation Automatique de Line Art". Electronic Thesis or Diss., Reims, 2023. http://www.theses.fr/2023REIMS060.
Pełny tekst źródłaAutomatic lineart colorization is a challenging task for Computer Vision. Con- trary to grayscale images, linearts lack semantic information such as shading and texture, making the task even more difficult.This thesis dissertation is built upon related works and explores the use of modern generative Artificial Intelligence (AI) architectures such as Generative Adversarial Networks (GANs) and Denoising Diffusion Models (DDMs) to both improve the quality of previous techniques, as well as better capturing the user colorization intent throughout three contributions: PaintsTorch, StencilTorch and StablePaint.As a result, an iterative and interactive framework based on colored strokes and masks provided by the end user is built to foster Human-Machine collaboration in favour of natural, and emerging workflows inspired by digital painting processes
Chang, Yu-wei, i 張佑瑋. "Automatic grayscale image colorization". Thesis, 2005. http://ndltd.ncl.edu.tw/handle/89981338295360370277.
Pełny tekst źródłaChen, Yung-An, i 陳勇安. "Automatic Colorization Defects Inspection using Deep Learning Network". Thesis, 2019. http://ndltd.ncl.edu.tw/handle/3zbtg6.
Pełny tekst źródłaCzęści książek na temat "Automatic Colorization"
Tran, Tan-Bao, i Thai-Son Tran. "Automatic Natural Image Colorization". W Intelligent Information and Database Systems, 612–21. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41964-6_53.
Pełny tekst źródłaLarsson, Gustav, Michael Maire i Gregory Shakhnarovich. "Learning Representations for Automatic Colorization". W Computer Vision – ECCV 2016, 577–93. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46493-0_35.
Pełny tekst źródłaDhir, Rashi, Meghna Ashok, Shilpa Gite i Ketan Kotecha. "Automatic Image Colorization Using GANs". W Soft Computing and its Engineering Applications, 15–26. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0708-0_2.
Pełny tekst źródłaCharpiat, Guillaume, Matthias Hofmann i Bernhard Schölkopf. "Automatic Image Colorization Via Multimodal Predictions". W Lecture Notes in Computer Science, 126–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-88690-7_10.
Pełny tekst źródłaDing, Xiaowei, Yi Xu, Lei Deng i Xiaokang Yang. "Colorization Using Quaternion Algebra with Automatic Scribble Generation". W Lecture Notes in Computer Science, 103–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27355-1_12.
Pełny tekst źródłaGolyadkin, Maksim, i Ilya Makarov. "Semi-automatic Manga Colorization Using Conditional Adversarial Networks". W Lecture Notes in Computer Science, 230–42. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72610-2_17.
Pełny tekst źródłaKouzouglidis, Panagiotis, Giorgos Sfikas i Christophoros Nikou. "Automatic Video Colorization Using 3D Conditional Generative Adversarial Networks". W Advances in Visual Computing, 209–18. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33720-9_16.
Pełny tekst źródłaLee, Hyejin, Daehee Kim, Daeun Lee, Jinkyu Kim i Jaekoo Lee. "Bridging the Domain Gap Towards Generalization in Automatic Colorization". W Lecture Notes in Computer Science, 527–43. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19790-1_32.
Pełny tekst źródłaMouzon, Thomas, Fabien Pierre i Marie-Odile Berger. "Joint CNN and Variational Model for Fully-Automatic Image Colorization". W Lecture Notes in Computer Science, 535–46. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22368-7_42.
Pełny tekst źródłaDai, Jiawu, Bin Jiang, Chao Yang, Lin Sun i Bolin Zhang. "Local Pyramid Attention and Spatial Semantic Modulation for Automatic Image Colorization". W Big Data, 165–81. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9709-8_12.
Pełny tekst źródłaStreszczenia konferencji na temat "Automatic Colorization"
Watanabe, Taiki, Seitaro Shinagawa, Takuya Funatomi, Akinobu Maejima, Yasuhiro Mukaigawa, Satoshi Nakamura i Hiroyuki Kubo. "Improved Automatic Colorization by Optimal Pre-colorization". W SIGGRAPH '23: Special Interest Group on Computer Graphics and Interactive Techniques Conference. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3588028.3603669.
Pełny tekst źródłaŚluzek, Andrzej. "On Unguided Automatic Colorization of Monochrome Images". W WSCG 2023 – 31. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision. University of West Bohemia, Czech Republic, 2023. http://dx.doi.org/10.24132/csrn.3301.38.
Pełny tekst źródłaThasarathan, Harrish, Kamyar Nazeri i Mehran Ebrahimi. "Automatic Temporally Coherent Video Colorization". W 2019 16th Conference on Computer and Robot Vision (CRV). IEEE, 2019. http://dx.doi.org/10.1109/crv.2019.00033.
Pełny tekst źródłaKonovalov, Vitaly. "Method for automatic cartoon colorization". W 2023 IX International Conference on Information Technology and Nanotechnology (ITNT). IEEE, 2023. http://dx.doi.org/10.1109/itnt57377.2023.10139184.
Pełny tekst źródłaAbdulHalim, Mayada F., i Zaineb A. Mejbil. "Automatic colorization without human intervention". W 2008 International Conference on Computer and Communication Engineering (ICCCE). IEEE, 2008. http://dx.doi.org/10.1109/iccce.2008.4580569.
Pełny tekst źródłaLal, Shamit, Vineet Garg i Om Prakash Verma. "Automatic Image Colorization Using Adversarial Training". W the 9th International Conference. New York, New York, USA: ACM Press, 2017. http://dx.doi.org/10.1145/3163080.3163104.
Pełny tekst źródłaDeshpande, Aditya, Jason Rock i David Forsyth. "Learning Large-Scale Automatic Image Colorization". W 2015 IEEE International Conference on Computer Vision (ICCV). IEEE, 2015. http://dx.doi.org/10.1109/iccv.2015.72.
Pełny tekst źródłaLu, Yurong, Xianglin Huang, Yan Zhai, Lifang Yang i Yirui Wang. "ColorGAN: Automatic Image Colorization with GAN". W 2023 IEEE 3rd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA). IEEE, 2023. http://dx.doi.org/10.1109/iciba56860.2023.10164924.
Pełny tekst źródłaGoel, Divyansh, Sakshi Jain, Dinesh Kumar Vishwakarma i Aryan Bansal. "Automatic Image Colorization using U-Net". W 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2021. http://dx.doi.org/10.1109/icccnt51525.2021.9580001.
Pełny tekst źródłaNguyen, Van, Vicky Sintunata i Terumasa Aoki. "Automatic Image Colorization based on Feature Lines". W International Conference on Computer Vision Theory and Applications. SCITEPRESS - Science and Technology Publications, 2016. http://dx.doi.org/10.5220/0005676401260133.
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