{"id":1419,"date":"2026-06-14T03:18:33","date_gmt":"2026-06-13T19:18:33","guid":{"rendered":"https:\/\/aifed.now\/conference\/?page_id=1419"},"modified":"2026-06-14T03:18:33","modified_gmt":"2026-06-13T19:18:33","slug":"%e4%b8%bb%e9%a1%8c%e4%b8%80%ef%bc%9a%e6%95%99%e5%b8%ab%e8%b3%a6%e8%83%bd-%e4%bd%95%e4%bd%b3%e6%80%a1%e3%80%81%e9%99%b3%e5%b8%b8%e8%96%87%e3%80%81%e6%b9%af%e5%87%b1%e4%bb%bb%e3%80%81%e7%8e%8b","status":"publish","type":"page","link":"https:\/\/aifed.now\/conference\/?page_id=1419","title":{"rendered":"\u4e3b\u984c\u4e00\uff1a\u6559\u5e2b\u8ce6\u80fd \/ \u4f55\u4f73\u6021\u3001\u9673\u5e38\u8587\u3001\u6e6f\u51f1\u4efb\u3001\u738b\u9756\u7fd4 \/ \u6b21\u5143\u4ea4\u932f\uff1aAI\u8207\u6642\u5c1a\u7684\u6d41\u52d5"},"content":{"rendered":"<\/p>\n<h3>\u6b21\u5143\u4ea4\u932f\uff1aAI\u8207\u6642\u5c1a\u7684\u6d41\u52d5<\/h3>\n<\/p>\n<div style=\"display: flex; align-items: center; gap: 15px;\">\n<p>  <img decoding=\"async\" width=\"200\" src=\"https:\/\/aifed.now\/conference\/wp-content\/uploads\/wpxform-uploads\/1780997659b800bf8e05-18-\u4e0a\u50b3\u7167\u7247.jpg\" alt=\"\u4f55\u4f73\u6021\u3001\u9673\u5e38\u8587\u3001\u6e6f\u51f1\u4efb\u3001\u738b\u9756\u7fd4\" style=\"box-shadow: 4px 4px 10px 0px rgba(0, 0, 0, 0.2)\" \/><\/p>\n<p>  <strong>\u8b1b\u8005\/Speaker\uff1a<\/strong> <span style=\"font-weight:bold; line-height:1.5em; background-color:#e7f49c; padding:0px 2px; border:1px; border-radius:10px;\"> \u4f55\u4f73\u6021\u3001\u9673\u5e38\u8587\u3001\u6e6f\u51f1\u4efb\u3001\u738b\u9756\u7fd4, JIA YI HE\u3001Chen Chang Wei\u3001TANG KAI-JEN\u3001WANG JING XIANG <\/span>  <\/p>\n<\/div>\n<p><\/p>\n<div style=\"line-height:1.2em; background-color: #ffffff; margin: 5px; border:1px #19130B solid; border-radius:10px; padding:10px; box-shadow: 4px 4px 10px 0px rgba(0, 0, 0, 0.2)\">\n<p>\u672c\u6559\u5b78\u61c9\u7528\u8a2d\u8a08\u65e8\u5728\u89e3\u6c7a\u6d41\u884c\u670d\u98fe\u79d1\u5b78\u751f\u5728\u7c4c\u5099\u7562\u696d\u88fd\u4f5c\u6642\u9762\u81e8\u7684\u56db\u5927\u6838\u5fc3\u56f0\u5883\uff1a\u5275\u610f\u8868\u9054\u53d7\u9650 \u3001\u5be6\u9ad4\u670d\u88dd\u5c55\u793a\u5f62\u5f0f\u55ae\u4e00 \u3001\u6578\u4f4d\u5316\u88fd\u4f5c\uff08\u59823D\u5efa\u6a21\u8207\u52d5\u756b\u6a21\u64ec\uff09\u6280\u8853\u9580\u6abb\u9ad8 \uff0c\u4ee5\u53ca\u88fd\u4f5c\u6642\u9593\u8207\u8cc7\u6e90\u53d7\u9650\u7b49\u554f\u984c \u3002\u70ba\u6b64\uff0c\u672c\u8a08\u756b\u5275\u65b0\u5c0e\u5165\u300cAI\u9748\u611f\u751f\u6210>\u8a2d\u8a08\u512a\u5316>\u5be6\u9ad4\u88fd\u4f5c>\u52d5\u756b\u751f\u6210>\u5f71\u7247\u8f38\u51fa>\u7562\u5c55\u5448\u73fe\u300d\u7684\u6574\u5408\u6027\u4eba\u6a5f\u5354\u4f5c\u6d41\u7a0b \u3002<br \/>\n\u5728\u5be6\u52d9\u6559\u5b78\u64cd\u4f5c\u4e2d\uff0c\u5b78\u751f\u65bc\u521d\u671f\u900f\u904e A.art\uff08\u6216 Midjourney\uff09\u5feb\u901f\u7522\u51fa\u591a\u5143\u8a2d\u8a08\u8349\u5716\u8207\u98a8\u683c\u63d0\u6848\uff0c\u4e26\u7d50\u5408\u300c\u670d\u88dd\u8a2d\u8a08\u89d2\u8272 IP \u5316\u300d\u6982\u5ff5 \uff1b\u96a8\u5f8c\u904b\u7528 Recraft \u5c07\u5716\u50cf\u512a\u5316\u70ba\u7dda\u7a3f\u8207\u7248\u578b\uff0c\u5efa\u7acb\u6578\u4f4d\u8a2d\u8a08\u8207\u50b3\u7d71\u6253\u7248\u88fd\u4f5c\u9593\u7684\u8f49\u8b6f\u80fd\u529b \uff1b\u5728\u5be6\u9ad4\u670d\u88dd\u7e2b\u88fd\u5b8c\u6210\u5f8c\uff0c\u5c0e\u5165 DeeVid AI \u751f\u6210\u8d85\u8d8a\u73fe\u5be6\u3001\u591a\u98a8\u683c\u8b8a\u63db\u7684\u865b\u64ec\u6a21\u7279\u52d5\u614b\u8d70\u79c0\u52d5\u756b \uff1b\u6700\u5f8c\u5229\u7528 FlexClip \u526a\u8f2f\u6574\u5408\u9ad8\u54c1\u8cea\u6210\u679c\u5f71\u7247 \uff0c\u4e26\u65bc\u7562\u696d\u5c55\u89bd\u4e2d\u6253\u9020\u7d50\u5408\u300c\u5be6\u9ad4\u8d70\u79c0\u300d\u8207\u300c\u6578\u4f4d\u52d5\u756b\u300d\u7684\u96d9\u8ecc\u6c89\u6d78\u5f0f\u5c55\u6f14 \u3002<br \/>\n\u8cea\u5316\u6210\u6548\u986f\u793a\uff0c\u6b64\u6559\u5b78\u6a21\u5f0f\u4e0d\u50c5\u6709\u6548\u964d\u4f4e\u5b78\u751f\u7684\u5b78\u7fd2\u8ca0\u64d4\u8207\u6280\u8853\u9580\u6abb \uff0c\u6539\u5584\u300c\u60f3\u5f97\u5230\u537b\u756b\u4e0d\u51fa\u4f86\u300d\u7684\u843d\u5dee \uff0c\u66f4\u80fd\u6253\u7834\u5be9\u7f8e\u6163\u6027\u3001\u6fc0\u767c\u5b78\u751f\u7684\u5275\u610f\u601d\u7dad\u8207\u81ea\u4e3b\u512a\u5316\u554f\u984c\u7684\u80fd\u529b \u3002\u900f\u904e\u7cfb\u7d71\u6027\u7684 AI \u6280\u8853\u5f15\u5c0e\uff0c\u5b78\u751f\u6210\u529f\u5f9e\u50b3\u7d71\u7684\u6280\u80fd\u5b78\u7fd2\u8005\u86fb\u8b8a\u70ba\u5177\u5099\u8de8\u57df\u6574\u5408\u80fd\u529b\u7684\u6642\u5c1a\u5275\u4f5c\u8005 \uff0c\u9054\u6210\u4e86\u517c\u5177\u6578\u4f4d\u529b\u8207\u672a\u4f86\u8077\u80fd\u7af6\u722d\u529b\u7684\u5353\u8d8a\u5b78\u7fd2\u6210\u6548 \u3002<\/p>\n<p>\u00a0<\/p>\n<hr\/>\n<p>This instructional design aims to address the four core challenges faced by fashion design students during their graduation projects: restricted creative expression , monotone formats of physical runway displays , high technical barriers to traditional digitization methods (such as 3D modeling and animation simulation) , and constraints on production time and resources. To overcome these hurdles, this project innovatively implements an integrated human-AI collaborative pipeline: \"AI Inspiration Generation -> rightarrow -> Design Optimization -> Physical Production-> Animation Generation-> Video Output -> Graduation Exhibition Display.\"<br \/>\nIn teaching practice, students utilize A.art (or Midjourney) during the initial stage to rapidly generate diverse design sketches and style proposals, incorporating the concept of transforming \"fashion design into character IP.\" Subsequently, Recraft is applied to optimize these images into line arts and patterns, establishing a critical translational ability between digital concepts and traditional garment construction. After the physical garments are fabricated, DeeVid AI is introduced to produce surreal, multi-styled virtual model runway animations that transcend physical restrictions. Finally, FlexClip is used to edit and synthesize high-quality showcase videos , culminating in a \"dual-track immersive exhibition\" that pairs physical fashion shows with digital animation displays.<br \/>\nQualitative results demonstrate that this pedagogical model significantly lowers technical thresholds and cognitive burdens , bridging the gap where students \"could imagine but not sketch.\" Furthermore, it breaks conventional aesthetic boundaries, stimulating creative thinking and fostering students' proactive problem-solving skills through iterative refinement. Through the systematic integration of AI tools, students successfully transition from traditional technical learners into cross-disciplinary fashion innovators , achieving exceptional learning outcomes with strong digital competency and future career readiness.<br \/>\nKeywords: Generative AI, Fashion Design Education, Human-AI Collaboration, Immersive Exhibition, Digital Transformation<\/p>\n<p>\u00a0<\/p>\n<\/div>\n<p>\u00a0<\/p>\n<div style=\"background-color: #ffffff; margin: 5px; border:1px #19130B solid; border-radius:10px; padding:10px; box-shadow: 4px 4px 10px 0px rgba(0, 0, 0, 0.2)\">\n<ul>\n<li style=\"padding:10px 5px; line-height:1.5em;\"><strong>\u8ad6\u6587\u5168\u6587\uff1a<\/strong><span style=\"font-weight:bold; line-height:1.5em; background-color:#e7f49c; padding:0px 2px; border:1px; border-radius:10px;\"><a href=\"https:\/\/aifed.now\/conference\/wp-content\/uploads\/wpxform-uploads\/1780997659b800bf8e05-16-2026-\u53f0\u7063-AI-\u6559\u80b2\u5e74\u6703\u6559\u5b78\u61c9\u7528\u6295-\u6b21\u5143\u4ea4\u932f\uff1aAI\u8207\u6642\u5c1a\u7684\u6d41\u52d5.pdf\" target=\"_blank\">\u6b21\u5143\u4ea4\u932f\uff1aAI\u8207\u6642\u5c1a\u7684\u6d41\u52d5<\/a><\/span><\/li>\n<li style=\"padding:10px 5px; line-height:1.5em;\"><strong>\u5f71\u50cf\uff1a<\/strong><span style=\"font-weight:bold; line-height:1.5em; background-color:#e7f49c; padding:0px 2px; border:1px; border-radius:10px;\"> <a href=\"https:\/\/youtu.be\/AlHJSlFy1PI\" target=\"_blank\">\u76f8\u95dc\u5f71\u7247<\/a><\/span><\/li>\n<\/ul>\n<\/div>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6b21\u5143\u4ea4\u932f\uff1aAI\u8207\u6642\u5c1a\u7684\u6d41\u52d5 \u8b1b\u8005\/Speaker\uff1a \u4f55\u4f73\u6021\u3001\u9673\u5e38\u8587\u3001\u6e6f\u51f1\u4efb\u3001\u738b\u9756\u7fd4, JIA YI HE\u3001Ch &hellip; <\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1419","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/pages\/1419","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1419"}],"version-history":[{"count":7,"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/pages\/1419\/revisions"}],"predecessor-version":[{"id":1903,"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/pages\/1419\/revisions\/1903"}],"wp:attachment":[{"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1419"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}