{"id":62950,"date":"2025-03-13T16:26:55","date_gmt":"2025-03-13T08:26:55","guid":{"rendered":"https:\/\/thei.edu.hk\/?p=62950"},"modified":"2026-01-15T10:34:27","modified_gmt":"2026-01-15T02:34:27","slug":"thei-research-webinar-creating-chinese-ambigrams-with-neural-networks-was-successfully-held-on-13-march-2025","status":"publish","type":"post","link":"https:\/\/thei.edu.hk\/sc\/thei-research-webinar-creating-chinese-ambigrams-with-neural-networks-was-successfully-held-on-13-march-2025\/","title":{"rendered":"THEi Research Webinar \u201cCreating Chinese Ambigrams with Neural Networks\u201d was successfully held on 13 March 2025"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"62950\" class=\"elementor elementor-62950\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-584d707c e-flex e-con-boxed e-con e-parent\" data-id=\"584d707c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2424abf elementor-widget__width-initial elementor--h-position-center elementor--v-position-middle elementor-pagination-position-inside elementor-widget elementor-widget-slides\" data-id=\"2424abf\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;navigation&quot;:&quot;dots&quot;,&quot;autoplay&quot;:&quot;yes&quot;,&quot;pause_on_hover&quot;:&quot;yes&quot;,&quot;pause_on_interaction&quot;:&quot;yes&quot;,&quot;autoplay_speed&quot;:5000,&quot;infinite&quot;:&quot;yes&quot;,&quot;transition&quot;:&quot;slide&quot;,&quot;transition_speed&quot;:500}\" data-widget_type=\"slides.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-swiper\">\n\t\t\t\t\t<div class=\"elementor-slides-wrapper elementor-main-swiper swiper\" role=\"region\" aria-roledescription=\"carousel\" aria-label=\"Slides\" dir=\"ltr\" data-animation=\"fadeInUp\">\n\t\t\t\t<div class=\"swiper-wrapper elementor-slides\">\n\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-repeater-item-83b7b12 swiper-slide\" role=\"group\" aria-roledescription=\"slide\"><div class=\"swiper-slide-bg\" role=\"img\" aria-label=\"PowerPoint Slides 1_Page_07\"><\/div><div class=\"swiper-slide-inner\" ><div class=\"swiper-slide-contents\"><\/div><\/div><\/div><div class=\"elementor-repeater-item-1ae0b4a swiper-slide\" role=\"group\" aria-roledescription=\"slide\"><div class=\"swiper-slide-bg\" role=\"img\" aria-label=\"PowerPoint Slides 1_Page_14\"><\/div><div class=\"swiper-slide-inner\" ><div class=\"swiper-slide-contents\"><\/div><\/div><\/div><div class=\"elementor-repeater-item-5a024f3 swiper-slide\" role=\"group\" aria-roledescription=\"slide\"><div class=\"swiper-slide-bg\" role=\"img\" aria-label=\"PowerPoint Slides 1_Page_20\"><\/div><div class=\"swiper-slide-inner\" ><div class=\"swiper-slide-contents\"><\/div><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"swiper-pagination\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3b0e0b66 elementor-widget elementor-widget-text-editor\" data-id=\"3b0e0b66\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><u><b>Focus and Design<\/b><\/u><\/p><p>The focus of the project is to find a way to generate ambigram automatically using deep neural network.<\/p><p>The design of our approach is to make use of Stable Diffusion model to generate potential Ambigram patterns. We created a LoRA model for each Chinese character to import to Stable Diffusion model for training. Then, we use classifier to rank the results and find out the pattern which looks most alike an Ambigram.<\/p><p><u><b>\u76ee\u6807<\/b><\/u><\/p><p>1.To assist artists to generate ambigrams<\/p><p>2.To enlarge the scope of AI-driven applications in advertising and marketing<\/p><p>3.To provide researchers a deeper understanding of the usefulness and limits of deep learning in extracting Chinese characters features used in ambigrams<\/p><p><u><b>Results<\/b><\/u><\/p><p>Stable Diffusion is proven an effective way to generate ambigram patterns for Chinese characters. We created a production pipeline to generate Ambigram patterns from any two selected Chinese characters.<\/p><p><u><b>Significance of Findings<\/b><\/u><\/p><ul><li>Able to generate LoRA model of Chinese characters with various font variations<\/li><li>Stable Diffusion is able to create Chinese Ambigram patterns<\/li><li>Our classifiers can detect valid and possible Ambigram patterns for artists as a starting point of their artwork creation.<\/li><\/ul><p><b>Detailed Findings<\/b><\/p><p>Here are the detailed findings of our Seed Grant research project. Through our research process, we found out that Stable Diffusion platform is a more appropriate platform to generate ambigram patterns rather than traditional deep learning neural network such as GAN and WGAN.<\/p><p>We first generate our training dataset using 50 Chinese TrueType fonts (TTF), and then train the LoRA model generation script via Kohya\u2019s GUI (<a href=\"https:\/\/github.com\/bmaltais\/kohya_ss\">https:\/\/github.com\/bmaltais\/kohya_ss<\/a>) and Dataset Generator created by our RA. Then we use Stable Diffusion to generate possible ambigram patterns; each pattern is a JPEG image.<\/p><p>After generated batches of images, we use our custom Classifier logic to identify and rank the generated images according to the likeliness of the original characters. For the highest rank entries, we will treat them as successful generated ambigram patterns.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Focus and Design The focus of the project is to find a way to generate ambigram automatically using deep neural network. The design of our approach is to make use of Stable Diffusion model to generate potential Ambigram patterns. We &hellip; <\/p>","protected":false},"author":104,"featured_media":62952,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[83],"tags":[],"ppma_author":[194,197,196],"class_list":["post-62950","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ro-research-office-news"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>THEi Research Webinar \u201cCreating Chinese Ambigrams with Neural Networks\u201d was successfully held on 13 March 2025 - Technological and Higher Education Institute of Hong Kong<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/thei.edu.hk\/sc\/thei-research-webinar-creating-chinese-ambigrams-with-neural-networks-was-successfully-held-on-13-march-2025\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"THEi Research Webinar \u201cCreating Chinese Ambigrams with Neural Networks\u201d was successfully held on 13 March 2025 - Technological and Higher Education Institute of Hong Kong\" \/>\n<meta property=\"og:description\" content=\"Focus and Design The focus of the project is to find a way to generate ambigram automatically using deep neural network. 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We &hellip;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/thei.edu.hk\/sc\/thei-research-webinar-creating-chinese-ambigrams-with-neural-networks-was-successfully-held-on-13-march-2025\/\" \/>\n<meta property=\"og:site_name\" content=\"Technological and Higher Education Institute of Hong Kong\" \/>\n<meta property=\"article:published_time\" content=\"2025-03-13T08:26:55+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-01-15T02:34:27+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/thei.edu.hk\/wp-content\/uploads\/2025\/03\/Res-seminar-Promotion-20250313-Copy.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2250\" \/>\n\t<meta property=\"og:image:height\" content=\"1169\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Ryan_Chan, Jenny_CHEUNG, Vanessa_Li\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u4f5c\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"Ryan_Chan\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 \u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/thei.edu.hk\/sc\/thei-research-webinar-creating-chinese-ambigrams-with-neural-networks-was-successfully-held-on-13-march-2025\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/thei.edu.hk\/sc\/thei-research-webinar-creating-chinese-ambigrams-with-neural-networks-was-successfully-held-on-13-march-2025\/\"},\"author\":{\"name\":\"Ryan_Chan\",\"@id\":\"https:\/\/thei.edu.hk\/sc\/#\/schema\/person\/4eff845a76fdb60b8ec7aacfc324e076\"},\"headline\":\"THEi Research Webinar \u201cCreating Chinese Ambigrams with Neural Networks\u201d was successfully held on 13 March 2025\",\"datePublished\":\"2025-03-13T08:26:55+00:00\",\"dateModified\":\"2026-01-15T02:34:27+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/thei.edu.hk\/sc\/thei-research-webinar-creating-chinese-ambigrams-with-neural-networks-was-successfully-held-on-13-march-2025\/\"},\"wordCount\":339,\"image\":{\"@id\":\"https:\/\/thei.edu.hk\/sc\/thei-research-webinar-creating-chinese-ambigrams-with-neural-networks-was-successfully-held-on-13-march-2025\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/thei.edu.hk\/wp-content\/uploads\/2025\/03\/Res-seminar-Promotion-20250313-Copy.jpg\",\"articleSection\":[\"RO (research office) - 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