CCFont: Component-Based Chinese Font Generation Model Using Generative Adversarial Networks (GANs) von Park, Jangkyoung, Hassan, Ammar Ul, Choi, Jaeyoung

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Learning font-style space using style-guided discriminator for few-shot font generation von Hassan, Ammar Ul, Memon, Irfanullah, Choi, Jaeyoung

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Real-time high quality font generation with Conditional Font GAN von Hassan, Ammar Ul, Memon, Irfanullah, Choi, Jaeyoung

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Unpaired font family synthesis using conditional generative adversarial networks von Ul Hassan, Ammar, Ahmed, Hammad, Choi, Jaeyoung

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Rendering high-quality PK bitmap font in Linux environment von Majeed, Saima, Hassan, Ammar Ul, Choi, Jaeyoung

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FontFusionGAN: Refinement of Handwritten Fonts by Font Fusion von Kumar, Avinash, Kang, Kyeolhee, Muhammad, Ammar ul Hassan, Choi, Jaeyoung

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Robustness of Contrastive Learning on Multilingual Font Style Classification Using Various Contrastive Loss Functions von Memon, Irfanullah, Muhammad, Ammar ul Hassan, Choi, Jaeyoung

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Few-Shot Content-Level Font Generation von Majeed, Saima, Hassan, Ammar Ul, Choi, Jaeyoung

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Few-Shot Content-Level Font Generation von Majeed, Saima, Hassan, Ammar Ul, Choi, Jaeyoung

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Association of Serum Gamma-Glutamyl Transferase and C-Reactive Protein as a Biomarkers of Oxidative Stress in Patients of Type 2 Diabetes Mellitus von Dr. Ammar ul Hassan, Zujaja Hina Haroon, Sobia Irum Kirmani, Muhammad Anwar, Muhammad Younas, Muhammad Usman Munir

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SkelGAN: A Font Image Skeletonization Method von Ko, Debbie Honghee, Hassan, Ammar Ul, Majeed, Saima, Choi, Jaeyoung

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Exploiting mixing regularization for truly unsupervised font synthesis von Muhammad, Ammar Ul Hassan, Lee, Hyunsoo, Choi, Jaeyoung

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SKFont: skeleton-driven Korean font generator with conditional deep adversarial networks von Ko, Debbie Honghee, Hassan, Ammar Ul, Suk, Jungjae, Choi, Jaeyoung

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SkelGAN: A Font Image Skeletonization Method von 고홍희, 아마르, Saima Majeed, 최재영

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Determination of Variation in Neonatal Serum 17 Hydroxyprogesterone Levels in Relation with Gestational Age Low Birth Weight von Ammar ul Hassan, Zujaja Hina Haroon, Muhammad Anwar, Muhammad Younas, Muhammad Usman Munir, Sobia Irum Kirmani

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Korean Font Synthesis with GANs von Ko, Debbie Honghee, Hassan, Ammar Ul, Suk, Jungjae, Choi, Jaeyoung

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MF Integrator: A Module for Converting METAFONT into Outline Font von Ammar Ul Hassan, Choi, Jaeyoung, Jeong, Geunho

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The Association of Total Antioxidant Capacity with Metabolic Syndrome von Rubina Shafi , Muhammad Nadim Akbar Khan , Ammar Ul Hassan , Muhaaimin Nawaz , Fakhra Noureen , Shazia Qayyum

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FontNet: Closing the gap to font designer performance in font synthesis von Muhammad, Ammar Ul Hassan, Choi, Jaeyoung

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FontNet: Closing the gap to font designer performance in font synthesis von Ammar Ul Hassan Muhammad, Choi, Jaeyoung

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