[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-138538-105":59,"doc-detail-138538-en":131},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","interactive-drawing-guidance-for-anime-illustrations-with-diffusion-model-research-report","Interactive Drawing Guidance for Anime Illustrations with Diffusion Model - Research Report","","Creating high-quality anime illustrations poses major hurdles for beginners due to complex styles and fine-grained visual details. The work presents an interactive drawing guidance system for anime, delivering real-time support that helps users iterate quickly and express creative intent. The system leverages StreamDiffusion for real-time generation, fine-tunes Stable Diffusion with LoRA to synthesize anime-style RGB images from user sketches and prompts, and uses the Informative Drawings model plus a custom optimizer to produce structured guidance sketches. Effectiveness is validated through a user study evaluating system performance and usability.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/interactive-drawing-guidance-for-anime-illustrations-with-diffusion-model-research-report/138538/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/interactive-drawing-guidance-for-anime-illustrations-with-diffusion-model-research-report/138538.png","ImageObject",300,407,{"name":92,"@type":93},"Jiven","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-05","2026-08-23",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",13,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What inputs does the proposed interactive system take to guide anime drawing?","Question",{"text":113,"@type":114},"It takes a hand-drawn sketch and a textual prompt as inputs, then uses the diffusion-based pipeline to generate guidance aligned with the user’s intent.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How does the system generate guidance sketches from the user’s sketch?",{"text":118,"@type":114},"It first synthesizes anime-style RGB images using StreamDiffusion and Stable Diffusion fine-tuned with LoRA, then applies the Informative Drawings model and a custom optimizer to transform results into structured guidance sketches.",{"name":120,"@type":111,"acceptedAnswer":121},"How is the system evaluated for effectiveness?",{"text":122,"@type":114},"A user study compares drawing assistance interfaces, uses expert and non-expert reviews to assess drawing quality, and measures usability with the System Usability Scale (SUS).","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},138538,1787483289,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":39,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":130,"read_time":46,"preview_page_count":4},1099513958607,"https://ap-avatar.wpscdn.com/avatar/100002390cf8733938c?x-image-process=image/resize,m_fixed,w_180,h_180&k=1778829742770036399","Interactive Drawing Guidance for Anime Illustrations with Diffusion Model  \nChuang Chen∗ , Xiaoxuan Xie∗ , Yongming Zhang, Tianyu Zhang, Haoran Xie† Japan Advanced Institute of Science and Technology  \nIshikawa, Japan  \narXiv :2507 .09140v1 [ cs .GR] 12 Jul 2025  \nAbstract—Creating high-quality anime illustrations presents notable challenges, particularly for beginners, due to the intricate styles and fine details inherent in anime art. We present an interactive drawing guidance system specifically designed for anime illustrations to address this issue. It offers real-time guidance to help users refine their work and streamline the creative process. Our system is built upon the StreamDiffusion pipeline to deliver real-time drawing assistance. We fine-tune Stable Diffusion with LoRA to synthesize anime style RGB images from user-provided hand-drawn sketches and prompts. Leveraging the Informative Drawings model, we transform these RGB images into rough sketches, which are further refined into structured guidance sketches using a custom-designed optimizer. The proposed system offers precise, real-time guidance aligned with the creative intent of the user, significantly enhancing both the efficiency and accuracy of the drawing process. To assess the effectiveness of our approach, we conducted a user study, gathering empirical feedback on both system performance and interface usability.  \nIndex Terms—interactive interface, drawing guidance, anime style, diffusion model  \nI. INTRODUCTION  \nAnime illustration is a globally influential art form with significant commercial value, widely applied in the entertainment, merchandise, and gaming industries. However, despite its seemingly simple appearance, anime drawing presents significant challenges to beginners. Achieving high-quality results requires advanced skills, including mastery of proportions, poses, and facial expressions. To address this, we propose an anime illustration drawing assistance system that helps users practice their skills and refine their creative ideas.  \nThe drawing assistance systems have been developed to help users achieve their creative goals or improve their drawing proficiency. The early approaches used data retrieval techniques to dynamically match users’ hand-drawn sketches with similar samples from a database [1], [2] . PortraitSketch [3] further refined user’s hand-drawn sketches by allowing image uploadsand line tracing, resulting in aesthetically enhanced drawings. More recently, generative models have been widely applied in drawing guidance systems [4] . However, these systems often depend on specialized datasets and the user’s drawing ability, limiting creative flexibility within the scope of the dataset.  \nDiffusion models [5] have recently gained significant atten  \ntion in image generation due to their diversity, stability, and ∗ Same contribution.  \n†Corresponding author ([xie@jaist.ac.jp](xie@jaist.ac.jp)) .  \nhigh-quality outputs. Compared to traditional generative models, diffusion models offer greater flexibility in producing detailed and diverse images. Our system integrates four StreamDiffusion [6] pipelines, enabling real-time image generation and seamless interaction with text-to-image models such as Stable Diffusion [7], known for high-quality anime style synthesis. Additionally, we employ Low-Rank Adaptation (LoRA) [8] to fine-tune the model with a limited number of samples, facilitating efficient adaptation to anime illustrations. In addition, we incorporate the Informative Drawings model [9] along with a custom-designed optimizer to generate structured guidance sketches. Our system provides intuitive, flexible, and real-time anime illustration guidance, allowing users to express their creative intent more effectively. To evaluate its effectiveness, we conducted user studies comparing various drawing assistance interfaces, assessed drawing quality through expert and non-expert reviews, and measured usability using the System Usability","cbCaim6k12YwwdTE","https://ap.wps.com/l/cbCaim6k12YwwdTE","pdf",1263206,"English","# Introduction\n## Drawing assistance systems\n## Diffusion models and the proposed approach\n# Related Works\n## Drawing Guidance System","[{\"question\":\"What inputs does the proposed interactive system take to guide anime drawing?\",\"answer\":\"It takes a hand-drawn sketch and a textual prompt as inputs, then uses the diffusion-based pipeline to generate guidance aligned with the user’s intent.\"},{\"question\":\"How does the system generate guidance sketches from the user’s sketch?\",\"answer\":\"It first synthesizes anime-style RGB images using StreamDiffusion and Stable Diffusion fine-tuned with LoRA, then applies the Informative Drawings model and a custom optimizer to transform results into structured guidance sketches.\"},{\"question\":\"How is the system evaluated for effectiveness?\",\"answer\":\"A user study compares drawing assistance interfaces, uses expert and non-expert reviews to assess drawing quality, and measures usability with the System Usability Scale (SUS).\"}]","Interactive Drawing Guidance for Anime Illustrations with Diffusion Model - Research Report | PDF"]