{"id":40961,"date":"2026-05-01T09:06:32","date_gmt":"2026-05-01T01:06:32","guid":{"rendered":"https:\/\/17aitech.com\/?p=40961"},"modified":"2026-05-01T09:06:32","modified_gmt":"2026-05-01T01:06:32","slug":"cvpr-2026-%e7%94%9f%e6%88%90%e5%bc%8f-ai-%e8%a7%82%e5%af%9f%e6%a2%b3%e7%90%86%ef%bc%9a%e8%a7%86%e8%a7%89%e6%a8%a1%e5%9e%8b%e5%bc%80%e5%a7%8b%e9%87%8d%e5%86%99%e9%bb%98%e8%ae%a4%e8%ae%be%e5%ae%9a","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=40961","title":{"rendered":"CVPR 2026 \u751f\u6210\u5f0f AI \u89c2\u5bdf\u68b3\u7406\uff1a\u89c6\u89c9\u6a21\u578b\u5f00\u59cb\u91cd\u5199\u9ed8\u8ba4\u8bbe\u5b9a"},"content":{"rendered":"<p>\u8fc7\u53bb\u51e0\u5e74\uff0c\u89c6\u89c9\u751f\u6210\u4e0e\u89c6\u89c9\u7406\u89e3\u9886\u57df\u7684\u6280\u672f\u63a8\u8fdb\uff0c\u6574\u4f53\u4e0a\u59cb\u7ec8\u6cbf\u7740\u4e00\u6761\u76f8\u5bf9\u660e\u786e\u7684\u8def\u5f84\u5c55\u5f00\uff1a\u5f53\u4e00\u5957\u5efa\u6a21\u8303\u5f0f\u88ab\u9a8c\u8bc1\u6709\u6548\u4e4b\u540e\uff0c\u540e\u7eed\u7684\u5927\u91cf\u5de5\u4f5c\u5f80\u5f80\u90fd\u4f1a\u56f4\u7ed5\u8fd9\u5957\u65e2\u6709\u6846\u67b6\u6301\u7eed\u505a\u6a21\u578b\u6269\u5bb9\u3001\u8bad\u7ec3\u589e\u5f3a\u3001\u91c7\u6837\u4f18\u5316\u4e0e\u5c40\u90e8\u6a21\u5757\u4fee\u8865\uff0c\u4ee5\u6b64\u6362\u53d6\u66f4\u9ad8\u7684\u6027\u80fd\u4e0a\u9650\u3002<\/p>\n<p>\u65e0\u8bba\u662f\u6269\u6563\u751f\u6210\u3001\u89c6\u9891 world model\uff0c\u8fd8\u662f\u52a8\u4f5c\u5efa\u6a21\u4e0e\u89c6\u89c9\u5339\u914d\uff0c\u4e3b\u6d41\u7814\u7a76\u5728\u5f88\u957f\u65f6\u95f4\u91cc\u90fd\u66f4\u591a\u8868\u73b0\u4e3a\u5bf9\u65e2\u6709\u7cfb\u7edf\u7684\u6301\u7eed\u52a0\u56fa\uff0c\u800c\u4e0d\u662f\u5bf9\u5e95\u5c42\u5047\u8bbe\u672c\u8eab\u7684\u91cd\u65b0\u5ba1\u89c6\u3002<\/p>\n<p>\u4f46\u4ece\u4eca\u5e74 CVPR \u96c6\u4e2d\u51fa\u73b0\u7684\u4e00\u6279\u4ee3\u8868\u6027\u5de5\u4f5c\u6765\u770b\uff0c\u8fd9\u79cd\u76f8\u5bf9\u7a33\u5b9a\u7684\u6280\u672f\u63a8\u8fdb\u903b\u8f91\u6b63\u5728\u53d1\u751f\u503c\u5f97\u8b66\u60d5\u7684\u53d8\u5316\u3002\u8d8a\u6765\u8d8a\u591a\u7814\u7a76\u5df2\u7ecf\u4e0d\u518d\u6ee1\u8db3\u4e8e\u5728\u73b0\u6709\u6a21\u578b\u6846\u67b6\u5185\u90e8\u7ee7\u7eed\u505a\u589e\u91cf\u5f0f\u6027\u80fd\u4fee\u8865\uff0c\u800c\u662f\u5f00\u59cb\u7cfb\u7edf\u6027\u5730\u628a\u95ee\u9898\u91cd\u65b0\u62c9\u56de\u5230\u90a3\u4e9b\u957f\u671f\u88ab\u5de5\u7a0b\u5b9e\u8df5\u89c6\u4e3a\u201c\u9ed8\u8ba4\u6b63\u786e\u201d\u7684\u57fa\u7840\u8bbe\u5b9a\u4e0a\u3002<\/p>\n<p>\u6269\u6563\u6a21\u578b\u4e2d\u7684\u5f15\u5bfc\u673a\u5236\u662f\u5426\u771f\u7684\u5408\u7406\uff0c\u89c6\u9891\u751f\u6210\u662f\u5426\u5fc5\u987b\u5efa\u7acb\u5728 diffusion \u7684\u53cd\u590d\u53bb\u566a\u4e4b\u4e0a\uff0c\u751f\u6210\u6a21\u578b\u6240\u5b66\u4e60\u7684\u9884\u6d4b\u5bf9\u8c61\u662f\u5426\u4ece\u4e00\u5f00\u59cb\u5c31\u9075\u5faa\u4e86\u6700\u81ea\u7136\u7684\u6570\u636e\u6d41\u5f62\uff0c\u4ee5\u53ca\u4eba\u4f53\u52a8\u4f5c\u751f\u6210\u4e0e\u8bed\u4e49\u5bf9\u5e94\u4efb\u52a1\u4e2d\u957f\u671f\u88ab\u7c97\u7c92\u5ea6\u8bc4\u4ef7\u63a9\u76d6\u7684\u63a7\u5236\u8fb9\u754c\u548c\u6cdb\u5316\u8fb9\u754c\uff0c\u662f\u5426\u90fd\u9700\u8981\u88ab\u91cd\u65b0\u5b9a\u4e49\u3002<\/p>\n<p>\u8fd9\u610f\u5473\u7740\uff0c\u9876\u4f1a\u8bba\u6587\u6240\u5448\u73b0\u51fa\u7684\u7ade\u4e89\u91cd\u70b9\u6b63\u5728\u6084\u7136\u53d1\u751f\u8fc1\u79fb\u3002\u76f8\u6bd4\u4e8e\u8fc7\u53bb\u66f4\u591a\u5f3a\u8c03\u201c\u5728\u539f\u6709\u8303\u5f0f\u5185\u628a\u6a21\u578b\u505a\u5f97\u66f4\u5f3a\u3001\u628a\u6307\u6807\u63a8\u5f97\u66f4\u9ad8\u201d\uff0c\u8fd9\u4e00\u6279\u5de5\u4f5c\u66f4\u503c\u5f97\u6ce8\u610f\u7684\u5730\u65b9\u5728\u4e8e\uff0c\u5b83\u4eec\u5f00\u59cb\u540c\u6b65\u89e6\u78b0\u90a3\u4e9b\u51b3\u5b9a\u6a21\u578b\u884c\u4e3a\u65b9\u5f0f\u7684\u5e95\u5c42\u5efa\u6a21\u524d\u63d0\uff0c\u5e76\u8bd5\u56fe\u91cd\u65b0\u5efa\u7acb\u65b0\u7684\u751f\u6210\u76ee\u6807\u3001\u63a7\u5236\u673a\u5236\u3001\u4e3b\u5e72\u67b6\u6784\u4e0e\u8868\u793a\u903b\u8f91\u3002<\/p>\n<p>\u6362\u53e5\u8bdd\u8bf4\uff0c\u89c6\u89c9 AI \u7684\u4e0b\u4e00\u8f6e\u7ade\u4e89\uff0c\u6b63\u5728\u9010\u6e10\u4ece\u6027\u80fd\u589e\u91cf\u7ade\u4e89\uff0c\u8f6c\u5411\u5bf9\u65e2\u6709\u9ed8\u8ba4\u8bbe\u5b9a\u7684\u56de\u6eaf\u6027\u91cd\u5199\u3002<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_78 ez-toc-wrap-left-text counter-hierarchy ez-toc-counter ez-toc-light-blue ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">\u6587\u7ae0\u76ee\u5f55<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" 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>\u89c6\u89c9\u751f\u6210\u5f00\u59cb\u91cd\u5199\u57fa\u7840\u673a\u5236<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/17aitech.com\/?p=40961\/#%E7%94%9F%E6%88%90%E6%A8%A1%E5%9E%8B%E5%BC%80%E5%A7%8B%E4%BB%8E%E3%80%8C%E4%BC%9A%E7%94%9F%E6%88%90%E3%80%8D%E8%B5%B0%E5%90%91%E3%80%8C%E4%BC%9A%E7%B2%BE%E7%A1%AE%E7%BC%96%E6%8E%92%E3%80%8D\" >\u751f\u6210\u6a21\u578b\u5f00\u59cb\u4ece\u300c\u4f1a\u751f\u6210\u300d\u8d70\u5411\u300c\u4f1a\u7cbe\u786e\u7f16\u6392\u300d<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"%E8%A7%86%E8%A7%89%E7%94%9F%E6%88%90%E5%BC%80%E5%A7%8B%E9%87%8D%E5%86%99%E5%9F%BA%E7%A1%80%E6%9C%BA%E5%88%B6\"><\/span>\u89c6\u89c9\u751f\u6210\u5f00\u59cb\u91cd\u5199\u57fa\u7840\u673a\u5236<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u8fd9\u4e00\u8d8b\u52bf\u9996\u5148\u4f53\u73b0\u5728\u7531\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\u548c vivo BlueImage Lab \u5171\u540c\u63d0\u51fa\u7684\u300aC\u00b2FG: Control Classifier-Free Guidance via Score Discrepancy Analysis\u300b\u4e0a\u3002<\/p>\n<p>Classifier-Free Guidance\uff08CFG\uff09\u4f5c\u4e3a\u6761\u4ef6\u6269\u6563\u6a21\u578b\u4e2d\u6700\u5e38\u7528\u7684\u751f\u6210\u5f15\u5bfc\u673a\u5236\uff0c\u51e0\u4e4e\u5df2\u7ecf\u6210\u4e3a\u9ed8\u8ba4\u7ec4\u4ef6\uff1a\u901a\u8fc7\u8c03\u8282 conditional \u5206\u652f\u548c unconditional \u5206\u652f\u4e4b\u95f4\u7684 guidance strength \u6765\u589e\u5f3a\u6a21\u578b\u5bf9\u6761\u4ef6\u4fe1\u606f\u7684\u670d\u4ece\u7a0b\u5ea6\uff0c\u4ece\u800c\u63d0\u5347\u751f\u6210\u8d28\u91cf\u3002<\/p>\n<p>\u4f46\u957f\u671f\u4ee5\u6765\uff0c\u8fd9\u4e00\u8fc7\u7a0b\u4e3b\u8981\u4f9d\u8d56\u56fa\u5b9a guidance weight \u6216\u5c11\u91cf\u7ecf\u9a8c\u5316\u52a8\u6001\u8c03\u6574\uff0c\u771f\u6b63\u7684\u95ee\u9898\u5728\u4e8e\uff0c\u6269\u6563\u8fc7\u7a0b\u5185\u90e8\u7684\u566a\u58f0\u7ed3\u6784\u548c score \u5dee\u5f02\u5e76\u4e0d\u662f\u9759\u6b62\u7684\uff0c\u800c\u662f\u968f\u7740\u65f6\u95f4\u6b65\u4e0d\u65ad\u53d8\u5316\uff0c\u56fa\u5b9a\u7684\u5f15\u5bfc\u5f3a\u5ea6\u5f88\u96be\u5728\u6574\u4e2a\u91c7\u6837\u9636\u6bb5\u90fd\u4fdd\u6301\u6700\u4f18\u3002<\/p>\n<p>\u8bba\u6587\u6b63\u662f\u4ece\u8fd9\u4e00\u88ab\u5ffd\u89c6\u7684\u5185\u90e8\u52a8\u529b\u5b66\u51fa\u53d1\uff0c\u5206\u6790\u4e0d\u540c timestep \u4e0b conditional score \u4e0e unconditional score \u7684 discrepancy \u53d8\u5316\u89c4\u5f8b\uff0c\u6307\u51fa guidance scale \u672c\u8d28\u4e0a\u4e0d\u5e94\u662f\u4e00\u4e2a\u9759\u6001\u8d85\u53c2\u6570\u3002<\/p>\n<p>\u57fa\u4e8e\u8fd9\u79cd\u7406\u8bba\u89c2\u5bdf\uff0c\u4f5c\u8005\u63d0\u51fa C\u00b2FG\uff08Control Classifier-Free Guidance\uff09\uff0c\u5229\u7528\u6307\u6570\u8870\u51cf\u63a7\u5236\u51fd\u6570\u8ba9 guidance strength \u5728\u91c7\u6837\u524d\u671f\u548c\u540e\u671f\u81ea\u52a8\u5b8c\u6210\u52a8\u6001\u5206\u914d\uff1a\u524d\u671f\u66f4\u5f3a\u5730\u5229\u7528\u6761\u4ef6\u7ea6\u675f\u4fdd\u8bc1\u8bed\u4e49\u5bf9\u9f50\uff0c\u540e\u671f\u5219\u9010\u6b65\u51cf\u5f31\u5f15\u5bfc\u4ee5\u907f\u514d\u8fc7\u5f3a guidance \u5e26\u6765\u7684\u5206\u5e03\u504f\u79fb\u548c\u7ec6\u8282\u5931\u771f\u3002<\/p>\n<p>\u5b83\u771f\u6b63\u6253\u7834\u7684\u662f CFG \u957f\u671f\u4f9d\u8d56\u7ecf\u9a8c\u8c03\u53c2\u7684\u60ef\u6027\uff0c\u628a\u4e00\u4e2a\u539f\u672c\u201c\u624b\u5de5\u8bbe\u5b9a\u7684 scale\u201d\u91cd\u65b0\u5efa\u7acb\u6210\u4e00\u4e2a\u4e0e\u6269\u6563\u52a8\u529b\u5b66\u540c\u6b65\u53d8\u5316\u7684\u63a7\u5236\u53d8\u91cf\uff0c\u800c\u4e14\u7531\u4e8e\u6574\u4e2a\u65b9\u6cd5 training-free\u3001plug-in\uff0c\u65e0\u9700\u91cd\u65b0\u8bad\u7ec3\u6a21\u578b\u5373\u53ef\u76f4\u63a5\u5d4c\u5165\u73b0\u6709\u91c7\u6837\u6d41\u7a0b\uff0c\u8fd9\u4e5f\u4f7f\u5b83\u5177\u5907\u4e86\u975e\u5e38\u5f3a\u7684\u5de5\u7a0b\u53ef\u8fc1\u79fb\u6027\u3002<\/p>\n<p style=\"text-align: center\"><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2026\/04\/frc-f59b3e8e908d83249c10b50cab874ab0.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2026\/04\/frc-f59b3e8e908d83249c10b50cab874ab0.png\"><\/a><\/p>\n<p>\u800c\u5f53\u6269\u6563\u6a21\u578b\u5185\u90e8\u7684\u5f15\u5bfc\u63a7\u5236\u5f00\u59cb\u88ab\u91cd\u65b0\u7406\u8bba\u5316\u65f6\uff0c\u82f9\u679c\u56e2\u961f\u63d0\u51fa\u7684\u300aSTARFlow-V: End-to-End Video Generative Modeling with Autoregressive Normalizing Flows\u300b\u5219\u8fdb\u4e00\u6b65\u628a\u95ee\u9898\u63a8\u5411\u4e86\u66f4\u5e95\u5c42\u7684\u751f\u6210\u67b6\u6784\u672c\u8eab\u3002<\/p>\n<p>\u5f53\u524d\u9ad8\u8d28\u91cf\u89c6\u9891\u751f\u6210\u51e0\u4e4e\u6e05\u4e00\u8272\u5efa\u7acb\u5728 diffusion \u6846\u67b6\u4e4b\u4e0a\uff0c\u53cd\u590d\u53bb\u566a\u4f3c\u4e4e\u5df2\u7ecf\u6210\u4e3a\u89c6\u9891 world model \u7684\u9ed8\u8ba4\u5b9e\u73b0\u65b9\u5f0f\uff0cnormalizing flow \u867d\u7136\u5728\u56fe\u50cf\u751f\u6210\u4e2d\u91cd\u65b0\u53d7\u5230\u5173\u6ce8\uff0c\u5374\u59cb\u7ec8\u6ca1\u6709\u771f\u6b63\u8fdb\u5165\u89c6\u9891\u751f\u6210\u4e3b\u6d41\u3002<\/p>\n<p>STARFlow-V \u8bd5\u56fe\u56de\u7b54\u7684\u662f\uff1a\u9ad8\u8d28\u91cf\u89c6\u9891\u751f\u6210\u662f\u5426\u771f\u7684\u53ea\u6709 diffusion \u8fd9\u4e00\u6761\u8def\u3002\u4e3a\u6b64\uff0c\u8bba\u6587\u5e76\u6ca1\u6709\u7b80\u5355\u628a\u56fe\u50cf flow \u7ed3\u6784\u8fc1\u79fb\u5230\u89c6\u9891\uff0c\u800c\u662f\u9488\u5bf9\u89c6\u9891\u751f\u6210\u7684\u957f\u65f6\u5e8f\u4f9d\u8d56\u548c\u8de8\u5e27\u4e00\u81f4\u6027\uff0c\u5728\u65f6\u7a7a latent \u7a7a\u95f4\u4e2d\u91cd\u65b0\u6784\u5efa\u4e86\u4e00\u5957 global-local \u7684 autoregressive normalizing flow \u67b6\u6784\uff1a<\/p>\n<p>\u5168\u5c40 latent \u7528\u4e8e\u63a7\u5236\u8de8\u5e27\u56e0\u679c\u4f9d\u8d56\uff0c\u51cf\u5c11\u957f\u89c6\u9891\u4e2d\u8bef\u5dee\u9010\u5e27\u7d2f\u79ef\u7684\u95ee\u9898\uff0c\u5c40\u90e8 latent \u5219\u4fdd\u7559\u5e27\u5185\u7ec6\u8282\u4ea4\u4e92\uff0c\u4fdd\u8bc1\u7a7a\u95f4\u7eb9\u7406\u8d28\u91cf\u3002<\/p>\n<p>\u540c\u65f6\uff0c\u4f5c\u8005\u8fdb\u4e00\u6b65\u5f15\u5165 flow-score matching\uff0c\u901a\u8fc7\u8f7b\u91cf\u7ea7 causal denoiser \u63d0\u5347\u81ea\u56de\u5f52\u751f\u6210\u8fc7\u7a0b\u4e2d\u7684\u65f6\u95f4\u4e00\u81f4\u6027\uff0c\u5e76\u5229\u7528 video-aware Jacobi iteration \u63d0\u9ad8\u5185\u90e8\u66f4\u65b0\u7684\u5e76\u884c\u6548\u7387\u3002<\/p>\n<p>\u4e5f\u5c31\u662f\u8bf4\uff0c\u5b83\u5e76\u4e0d\u662f\u5728 diffusion \u6846\u67b6\u5185\u7ee7\u7eed\u505a\u91c7\u6837\u4f18\u5316\uff0c\u800c\u662f\u76f4\u63a5\u6253\u7834\u201c\u9ad8\u8d28\u91cf\u89c6\u9891\u751f\u6210\u5fc5\u987b\u4f9d\u8d56 diffusion \u53cd\u590d\u53bb\u566a\u201d\u7684\u9ed8\u8ba4\u524d\u63d0\uff0c\u5efa\u7acb\u8d77\u4e00\u79cd\u57fa\u4e8e normalizing flow \u7684\u7aef\u5230\u7aef\u89c6\u9891\u751f\u6210\u8303\u5f0f\u3002<\/p>\n<p>\u66f4\u91cd\u8981\u7684\u662f\uff0c\u7531\u4e8e flow \u5929\u7136\u5177\u5907\u53ef\u9006\u7ed3\u6784\u548c\u663e\u5f0f likelihood \u4f30\u8ba1\u80fd\u529b\uff0c\u540c\u4e00\u4e2a STARFlow-V \u6a21\u578b\u5c31\u80fd\u591f\u539f\u751f\u652f\u6301 text-to-video\u3001image-to-video \u4ee5\u53ca video-to-video \u591a\u79cd\u4efb\u52a1\uff0c\u4e0d\u9700\u8981\u4e3a\u4e0d\u540c\u4efb\u52a1\u989d\u5916\u5806\u53e0\u590d\u6742\u5206\u652f\uff0c\u8fd9\u4f7f\u5b83\u4e0d\u4ec5\u662f\u4e00\u4e2a\u66ff\u4ee3\u67b6\u6784\uff0c\u66f4\u50cf\u662f\u5728\u91cd\u65b0\u6253\u5f00\u89c6\u9891\u751f\u6210\u7684\u6280\u672f\u8def\u7ebf\u56fe\u3002<\/p>\n<p style=\"text-align: center\"><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2026\/04\/frc-2d82d15f580b1279065762aeafa4b4e5.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2026\/04\/frc-2d82d15f580b1279065762aeafa4b4e5.png\"><\/a><\/p>\n<p>\u5982\u679c\u8bf4\u524d\u4e24\u7bc7\u5de5\u4f5c\u8fd8\u4e3b\u8981\u96c6\u4e2d\u5728\u201c\u751f\u6210\u8fc7\u7a0b\u5982\u4f55\u88ab\u91cd\u65b0\u63a7\u5236\u4e0e\u91cd\u65b0\u5b9e\u73b0\u201d\uff0c\u90a3\u4e48\u7531 MIT \u56e2\u961f\u63d0\u51fa\u7684\u300aBack to Basics: Let Denoising Generative Models Denoise\u300b\u5219\u628a\u5ba1\u89c6\u8fdb\u4e00\u6b65\u63a8\u56de\u5230\u6269\u6563\u6a21\u578b\u6700\u6838\u5fc3\u7684\u9884\u6d4b\u5bf9\u8c61\u4e0a\u3002\u96f7\u5cf0\u7f51<span style=\"color:#FD5D3C\">(\u516c\u4f17\u53f7\uff1a\u96f7\u5cf0\u7f51)<\/span><\/p>\n<p>\u5f53\u524d\u4e3b\u6d41 denoising diffusion model \u867d\u7136\u540d\u4e49\u4e0a\u662f\u201c\u53bb\u566a\u751f\u6210\u6a21\u578b\u201d\uff0c\u4f46\u5927\u591a\u6570\u505a\u6cd5\u5b9e\u9645\u4e0a\u5e76\u4e0d\u76f4\u63a5\u9884\u6d4b\u5e72\u51c0\u56fe\u50cf\uff0c\u800c\u662f\u8ba9\u6a21\u578b\u53bb\u62df\u5408\u566a\u58f0\u6b8b\u5dee\u6216\u5e26\u566a\u4e2d\u95f4\u91cf\uff0c\u8fd9\u4e00\u8bbe\u5b9a\u5728\u5de5\u7a0b\u4e0a\u5df2\u7ecf\u6cbf\u7528\u591a\u5e74\uff0c\u5374\u5f88\u5c11\u6709\u4eba\u91cd\u65b0\u8ffd\u95ee\u5b83\u662f\u5426\u771f\u7684\u662f\u6700\u5408\u7406\u7684\u751f\u6210\u76ee\u6807\u3002<\/p>\n<p>\u4ed6\u4eec\u7684\u7814\u7a76\u6307\u51fa\uff0c\u6309\u7167\u6d41\u5f62\u5047\u8bbe\uff0c\u81ea\u7136\u56fe\u50cf\u5206\u5e03\u4f4d\u4e8e\u76f8\u5bf9\u4f4e\u7ef4\u4e14\u8fde\u7eed\u7684\u6570\u636e\u6d41\u5f62\uff0c\u800c\u566a\u58f0\u7a7a\u95f4\u5219\u9ad8\u7ef4\u3001\u5206\u6563\u4e14\u66f4\u96be\u62df\u5408\uff1b\u4ece\u8fd9\u4e2a\u89d2\u5ea6\u770b\uff0c\u8ba9\u6a21\u578b\u76f4\u63a5\u5b66\u4e60\u56de\u5230 clean data\uff0c\u672c\u8eab\u53ef\u80fd\u6bd4\u5728\u9ad8\u7ef4\u566a\u58f0\u7a7a\u95f4\u4e2d\u9884\u6d4b noised quantity \u66f4\u81ea\u7136\u3001\u66f4\u7a33\u5b9a\u3002<\/p>\n<p>\u57fa\u4e8e\u8fd9\u4e00\u8ba4\u8bc6\uff0c\u4f5c\u8005\u63d0\u51fa JiT\uff08Just image Transformers\uff09\uff0c\u4e0d\u518d\u4f9d\u8d56\u989d\u5916 tokenizer\u3001\u590d\u6742\u9884\u8bad\u7ec3\u6a21\u5757\u6216\u8f85\u52a9\u635f\u5931\uff0c\u800c\u662f\u76f4\u63a5\u4f7f\u7528\u5927 patch Transformer \u5728\u539f\u59cb\u50cf\u7d20\u7a7a\u95f4\u5b8c\u6210 clean image \u9884\u6d4b\u3002<\/p>\n<p>\u8fd9\u4e2a\u8bbe\u8ba1\u8868\u9762\u4e0a\u770b\u662f\u201c\u56de\u5f52\u6734\u7d20\u201d\uff0c\u4f46\u5b83\u771f\u6b63\u6253\u7834\u7684\u662f\u201c\u6269\u6563\u6a21\u578b\u9ed8\u8ba4\u9884\u6d4b\u566a\u58f0\u201d\u7684\u8def\u5f84\u4f9d\u8d56\uff0c\u91cd\u65b0\u5efa\u7acb\u8d77\u4e00\u79cd\u4ee5\u76f4\u63a5\u56de\u5f52\u6570\u636e\u6d41\u5f62\u4e3a\u6838\u5fc3\u7684\u751f\u6210\u601d\u8def\uff0c\u4e5f\u8ba9 Transformer-based diffusion \u5728\u9ad8\u5206\u8fa8\u7387\u81ea\u7136\u56fe\u50cf\u4e0a\u7684\u5efa\u6a21\u903b\u8f91\u53d8\u5f97\u66f4\u52a0\u81ea\u6d3d\u3002<\/p>\n<p style=\"text-align: center\"><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2026\/04\/frc-f7eb5e6f3a7a24385346c36db6636a24.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2026\/04\/frc-f7eb5e6f3a7a24385346c36db6636a24.png\"><\/a><\/p>\n<h2><span class=\"ez-toc-section\" id=\"%E7%94%9F%E6%88%90%E6%A8%A1%E5%9E%8B%E5%BC%80%E5%A7%8B%E4%BB%8E%E3%80%8C%E4%BC%9A%E7%94%9F%E6%88%90%E3%80%8D%E8%B5%B0%E5%90%91%E3%80%8C%E4%BC%9A%E7%B2%BE%E7%A1%AE%E7%BC%96%E6%8E%92%E3%80%8D\"><\/span>\u751f\u6210\u6a21\u578b\u5f00\u59cb\u4ece\u300c\u4f1a\u751f\u6210\u300d\u8d70\u5411\u300c\u4f1a\u7cbe\u786e\u7f16\u6392\u300d<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u5f53\u89c6\u89c9\u751f\u6210\u6a21\u578b\u4e0d\u65ad\u56de\u5230\u5e95\u5c42\u673a\u5236\u505a\u91cd\u6784\u65f6\uff0c\u53e6\u4e00\u90e8\u5206\u5de5\u4f5c\u5219\u5f00\u59cb\u628a\u6ce8\u610f\u529b\u8f6c\u5411\u201c\u6a21\u578b\u751f\u6210\u7ed3\u679c\u5230\u5e95\u80fd\u88ab\u63a7\u5236\u5230\u4ec0\u4e48\u7a0b\u5ea6\u201d\u3002\u7531\u5fb7\u56fd\u56fe\u5bbe\u6839\u5927\u5b66\u3001T\u00fcbingen AI Center \u4ee5\u53ca\u9a6c\u514b\u65af\u00b7\u666e\u6717\u514b\u4fe1\u606f\u5b66\u7814\u7a76\u6240\u5171\u540c\u63d0\u51fa\u7684\u300aFrankenMotion: Part-level Human Motion Generation and Composition\u300b\u5c31\u662f\u5176\u4e2d\u975e\u5e38\u5178\u578b\u7684\u4e00\u4f8b\u3002<\/p>\n<p>\u5f53\u524d\u6587\u672c\u9a71\u52a8\u4eba\u4f53\u52a8\u4f5c\u751f\u6210\u867d\u7136\u5df2\u7ecf\u80fd\u591f\u6839\u636e\u6574\u4f53\u52a8\u4f5c\u63cf\u8ff0\u751f\u6210\u76f8\u5bf9\u81ea\u7136\u7684\u4eba\u4f53\u8fd0\u52a8\uff0c\u4f46\u6a21\u578b\u63a7\u5236\u4f9d\u7136\u505c\u7559\u5728\u7c97\u7c92\u5ea6\u5c42\u9762\uff1a\u5b83\u80fd\u7406\u89e3\u201c\u4e00\u4e2a\u4eba\u5728\u8d70\u8def\u201d\u201c\u4e00\u4e2a\u4eba\u5728\u6325\u624b\u201d\uff0c\u5374\u5f88\u96be\u7cbe\u786e\u56de\u7b54\u201c\u5de6\u624b\u4ec0\u4e48\u65f6\u5019\u62ac\u8d77\u201d\u201c\u4e0b\u534a\u8eab\u4f55\u65f6\u8f6c\u5411\u201d\u201c\u52a8\u4f5c\u5207\u6362\u53d1\u751f\u5728\u54ea\u4e00\u5e27\u201d\u3002<\/p>\n<p>\u9020\u6210\u8fd9\u4e00\u95ee\u9898\u7684\u6838\u5fc3\u539f\u56e0\uff0c\u4e00\u65b9\u9762\u5728\u4e8e\u73b0\u6709 mocap \u6570\u636e\u5927\u591a\u53ea\u6709\u5e8f\u5217\u7ea7\u52a8\u4f5c\u6807\u7b7e\uff0c\u7f3a\u5c11\u6309\u65f6\u95f4\u5bf9\u9f50\u3001\u6309\u8eab\u4f53\u90e8\u4f4d\u62c6\u5206\u7684\u7ec6\u7c92\u5ea6\u6807\u6ce8\uff1b\u53e6\u4e00\u65b9\u9762\uff0c\u6a21\u578b\u5373\u4f7f\u7406\u89e3\u6574\u4f53\u8bed\u4e49\uff0c\u4e5f\u5f88\u96be\u540c\u65f6\u517c\u987e\u5c40\u90e8\u80a2\u4f53\u52a8\u4f5c\u4e0e\u5168\u5c40\u65f6\u5e8f\u4e00\u81f4\u6027\u3002<\/p>\n<p>FrankenMotion \u6b63\u662f\u91cd\u65b0\u628a\u590d\u6742\u4eba\u4f53\u8fd0\u52a8\u89c6\u4e3a\u7531\u591a\u4e2a\u201c\u539f\u5b50\u52a8\u4f5c\u5355\u5143\u201d\u7ec4\u6210\uff0c\u5e76\u5c1d\u8bd5\u8ba9\u6a21\u578b\u5b66\u4e60\u8fd9\u4e9b\u8eab\u4f53\u90e8\u4f4d\u7ea7\u52a8\u4f5c\u4e4b\u95f4\u7684\u7ec4\u5408\u5173\u7cfb\u3002<\/p>\n<p>\u8bba\u6587\u9996\u5148\u501f\u52a9 FrankenAgent \u81ea\u52a8\u4e3a\u5df2\u6709\u52a8\u4f5c\u5e8f\u5217\u751f\u6210\u9010\u5e27\u3001\u9010\u8eab\u4f53\u90e8\u4f4d\u4e14\u65f6\u95f4\u5bf9\u9f50\u7684\u5c42\u7ea7\u6587\u672c\u6807\u6ce8\uff0c\u6784\u5efa\u65b0\u7684 FrankenStein \u6570\u636e\u96c6\uff1b\u968f\u540e\u8bad\u7ec3 FrankenMotion \u540c\u65f6\u63a5\u6536\u5e8f\u5217\u7ea7\u3001\u52a8\u4f5c\u7ea7\u548c\u8eab\u4f53\u90e8\u4f4d\u7ea7\u6761\u4ef6\uff0c\u4f7f\u6a21\u578b\u4e0d\u4ec5\u77e5\u9053\u201c\u505a\u4ec0\u4e48\u52a8\u4f5c\u201d\uff0c\u8fd8\u77e5\u9053\u201c\u54ea\u90e8\u5206\u8eab\u4f53\u5728\u4ec0\u4e48\u65f6\u5019\u505a\u201d\u3002<\/p>\n<p>\u8fd9\u610f\u5473\u7740\u4eba\u4f53\u52a8\u4f5c\u751f\u6210\u5f00\u59cb\u4ece\u201c\u751f\u6210\u4e00\u4e2a\u5408\u7406\u52a8\u4f5c\u7247\u6bb5\u201d\u8f6c\u5411\u201c\u6309\u6307\u4ee4\u7cbe\u786e\u7f16\u6392\u590d\u6742\u52a8\u4f5c\u7ec4\u5408\u201d\uff0c\u6a21\u578b\u80fd\u591f\u7ec4\u5408\u51fa\u8bad\u7ec3\u96c6\u4e2d\u5e76\u672a\u76f4\u63a5\u51fa\u73b0\u8fc7\u7684\u7ec6\u7c92\u5ea6\u590d\u5408\u52a8\u4f5c\u3002<\/p>\n<p>\u4e0e\u8fd9\u79cd\u7ec6\u7c92\u5ea6\u63a7\u5236\u9700\u6c42\u76f8\u5bf9\u5e94\uff0c\u89c6\u89c9\u7406\u89e3\u4e2d\u7684\u5339\u914d\u4efb\u52a1\u4e5f\u5728\u7ecf\u5386\u7c7b\u4f3c\u7684\u8303\u5f0f\u8f6c\u5411\u3002\u7531\u610f\u5927\u5229\u90fd\u7075\u7406\u5de5\u5927\u5b66\u3001TU Darmstadt\u3001hessian.AI \u4ee5\u53ca ELIZA \u5171\u540c\u63d0\u51fa\u7684<\/p>\n<p style=\"text-align: center\"><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2026\/04\/frc-2c3956574560dfe5fb6ba08a5e73d172.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2026\/04\/frc-2c3956574560dfe5fb6ba08a5e73d172.png\"><\/a><\/p>\n<p>\u7531\u800c\u610f\u5927\u5229\u90fd\u7075\u7406\u5de5\u5927\u5b66\uff08Politecnico di Torino\uff09\u3001\u5fb7\u56fd\u8fbe\u59c6\u65bd\u5854\u7279\u5de5\u4e1a\u5927\u5b66\uff08TU Darmstadt\uff09\u3001\u5fb7\u56fd\u9ed1\u68ee\u5dde\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u9662\uff08hessian.AI\uff09\u4ee5\u53ca ELIZA \u5171\u540c\u63d0\u51fa\u7684\u300aMARCO: Navigating the Unseen Space of Semantic Correspondence\u300b\u3002<\/p>\n<p>\u5173\u6ce8\u7684\u5219\u662f\u8bed\u4e49\u5bf9\u5e94\uff08semantic correspondence\uff09\u91cc\u4e00\u4e2a\u5f88\u73b0\u5b9e\u5374\u5e38\u88ab benchmark \u63a9\u76d6\u7684\u95ee\u9898\uff1a\u73b0\u6709\u65b9\u6cd5\u867d\u7136\u5728\u5df2\u6807\u6ce8\u5173\u952e\u70b9\u4e0a\u7cbe\u5ea6\u5f88\u9ad8\uff0c\u4f46\u4e00\u65e6\u67e5\u8be2\u70b9\u8d85\u51fa\u8bad\u7ec3\u65f6\u89c1\u8fc7\u7684\u5173\u952e\u70b9\u4f4d\u7f6e\uff0c\u6216\u8005\u9047\u5230\u672a\u89c1\u7c7b\u522b\uff0c\u6cdb\u5316\u80fd\u529b\u5c31\u4f1a\u8fc5\u901f\u4e0b\u964d\uff0c\u5bfc\u81f4 benchmark \u6210\u7ee9\u4e0e\u771f\u5b9e\u53ef\u7528\u6027\u4e4b\u95f4\u5b58\u5728\u660e\u663e\u843d\u5dee\u3002<\/p>\n<p>\u5f53\u524d\u4e3b\u6d41\u8bed\u4e49\u5bf9\u5e94\u6a21\u578b\u901a\u5e38\u91c7\u7528 DINOv2 \u52a0 diffusion backbone \u7684\u53cc\u7f16\u7801\u5668\u67b6\u6784\uff0c\u867d\u7136\u6548\u679c\u5f3a\uff0c\u4f46\u6a21\u578b\u89c4\u6a21\u63a5\u8fd1\u5341\u4ebf\u53c2\u6570\uff0c\u8ba1\u7b97\u5f00\u9500\u5927\uff0c\u800c\u4e14\u4f9d\u8d56\u7a00\u758f\u5173\u952e\u70b9\u76d1\u7763\u65f6\u5f88\u96be\u5b66\u5230\u771f\u6b63\u8fde\u7eed\u3001\u81f4\u5bc6\u7684\u8bed\u4e49\u5339\u914d\u5173\u7cfb\u3002<\/p>\n<p>MARCO \u7684\u6838\u5fc3\u5207\u5165\u70b9\uff0c\u5c31\u662f\u4e0d\u518d\u6ee1\u8db3\u4e8e\u201c\u5728\u6807\u6ce8\u70b9\u4e0a\u5bf9\u5f97\u51c6\u201d\uff0c\u800c\u662f\u5c1d\u8bd5\u8ba9\u6a21\u578b\u5b66\u4f1a\u5728\u672a\u88ab\u6807\u6ce8\u7684\u7a7a\u95f4\u4e2d\u4e5f\u80fd\u63a8\u65ad\u5408\u7406\u7684\u5bf9\u5e94\u5173\u7cfb\u3002<\/p>\n<p>\u4e3a\u6b64\uff0c\u8bba\u6587\u5728 DINOv2 \u57fa\u7840\u4e0a\u6784\u5efa\u4e86\u4e00\u4e2a\u66f4\u7edf\u4e00\u3001\u66f4\u8f7b\u91cf\u7684\u5bf9\u5e94\u6846\u67b6\uff0c\u5e76\u7ed3\u5408 coarse-to-fine \u7684\u5b9a\u4f4d\u76ee\u6807\u63d0\u5347\u7ec6\u7c92\u5ea6\u7a7a\u95f4\u7cbe\u5ea6\uff0c\u540c\u65f6\u5f15\u5165\u4e00\u79cd dense self-distillation \u673a\u5236\uff0c\u628a\u539f\u672c\u7a00\u758f\u7684\u5173\u952e\u70b9\u76d1\u7763\u9010\u6b65\u6269\u5c55\u6210\u66f4\u81f4\u5bc6\u7684\u8bed\u4e49\u5bf9\u9f50\u4fe1\u53f7\u3002<\/p>\n<p>\u8fd9\u79cd\u8bbe\u8ba1\u5e26\u6765\u7684\u53d8\u5316\u5728\u4e8e\uff0c\u6a21\u578b\u4e0d\u53ea\u662f\u8bb0\u4f4f\u8bad\u7ec3\u65f6\u51fa\u73b0\u8fc7\u7684\u5bf9\u5e94\u70b9\uff0c\u800c\u662f\u5f00\u59cb\u5b66\u4e60\u7269\u4f53\u8868\u9762\u66f4\u8fde\u7eed\u7684\u7ed3\u6784\u5173\u8054\uff0c\u56e0\u6b64\u5728 unseen keypoints \u548c unseen categories \u4e0a\u90fd\u8868\u73b0\u51fa\u66f4\u5f3a\u6cdb\u5316\u80fd\u529b\u3002<\/p>\n<p>\u5b9e\u9a8c\u7ed3\u679c\u663e\u793a\uff0cMARCO \u4e0d\u4ec5\u5728 SPair-71k\u3001AP-10K\u3001PF-PASCAL \u7b49\u6807\u51c6\u57fa\u51c6\u4e0a\u5237\u65b0\u4e86\u6027\u80fd\uff0c\u5728\u66f4\u4e25\u683c\u7684\u7ec6\u7c92\u5ea6\u5b9a\u4f4d\u9608\u503c\u548c\u672a\u89c1\u5173\u952e\u70b9\u6d4b\u8bd5\u4e2d\u63d0\u5347\u5c24\u5176\u660e\u663e\uff1b\u4e0e\u6b64\u540c\u65f6\uff0c\u5b83\u76f8\u6bd4 diffusion-based \u65b9\u6cd5\u8fd8\u5b9e\u73b0\u4e86\u7ea6 3 \u500d\u66f4\u5c0f\u300110 \u500d\u66f4\u5feb \u7684\u6548\u7387\u4f18\u52bf\u3002<\/p>\n<p>\u8fd9\u7bc7\u5de5\u4f5c\u7684\u4ef7\u503c\u5728\u4e8e\uff0c\u5b83\u6253\u7834\u4e86\u8bed\u4e49\u5bf9\u5e94\u9886\u57df\u957f\u671f\u201c\u9ad8 benchmark \u5206\u6570 \u2260 \u5f3a\u771f\u5b9e\u6cdb\u5316\u201d\u7684\u9690\u6027\u74f6\u9888\uff0c\u5efa\u7acb\u8d77\u4e00\u79cd\u66f4\u5f3a\u8c03\u81f4\u5bc6\u63a8\u65ad\u548c\u672a\u89c1\u7a7a\u95f4\u6cdb\u5316\u7684\u5efa\u6a21\u601d\u8def\uff0c\u4f7f semantic correspondence \u4ece\u201c\u5728\u6807\u6ce8\u70b9\u4e0a\u5339\u914d\u201d\uff0c\u8fdb\u4e00\u6b65\u8d70\u5411\u201c\u5728\u6574\u7247\u8bed\u4e49\u7a7a\u95f4\u4e2d\u5bfb\u627e\u5bf9\u5e94\u201d\u3002<\/p>\n<p style=\"text-align: center\"><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2026\/04\/frc-13fc2284905beb80dd682c828cbe95d4.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2026\/04\/frc-13fc2284905beb80dd682c828cbe95d4.png\"><\/a><\/p>\n<p>\u628a\u8fd9\u51e0\u9879\u5de5\u4f5c\u653e\u5728\u4e00\u8d77\u770b\uff0c\u4f1a\u53d1\u73b0\u5b83\u4eec\u867d\u7136\u5206\u522b\u6765\u81ea\u6269\u6563\u63a7\u5236\u3001\u89c6\u9891\u751f\u6210\u3001\u4eba\u4f53\u52a8\u4f5c\u751f\u6210\u548c\u8bed\u4e49\u5bf9\u5e94\u7b49\u4e0d\u540c\u65b9\u5411\uff0c\u4f46\u80cc\u540e\u5176\u5b9e\u5171\u4eab\u7740\u540c\u4e00\u6761\u66f4\u6df1\u5c42\u7684\u7814\u7a76\u8109\u7edc\uff1a\u89c6\u89c9 AI \u6b63\u5728\u4ece\u201c\u6cbf\u7740\u65e2\u5b9a\u8303\u5f0f\u5806\u6a21\u578b\u3001\u8c03\u53c2\u6570\u3001\u5237 benchmark\u201d\uff0c\u8f6c\u5411\u201c\u91cd\u65b0\u62c6\u6389\u90a3\u4e9b\u88ab\u9ed8\u8ba4\u6b63\u786e\u7684\u5e95\u5c42\u8bbe\u5b9a\uff0c\u518d\u5efa\u7acb\u65b0\u7684\u751f\u6210\u76ee\u6807\u3001\u63a7\u5236\u673a\u5236\u548c\u8868\u793a\u65b9\u5f0f\u201d\u3002\u96f7\u5cf0\u7f51<\/p>\n<p>\u6709\u7684\u5de5\u4f5c\u5728\u91cd\u65b0\u5b9a\u4e49\u6269\u6563\u6a21\u578b\u5e94\u8be5\u5982\u4f55\u5f15\u5bfc\uff0c\u6709\u7684\u5728\u91cd\u65b0\u6253\u5f00\u89c6\u9891\u751f\u6210\u4e0d\u6b62 diffusion \u4e00\u6761\u8def\u7684\u53ef\u80fd\u6027\uff0c\u6709\u7684\u5728\u8ffd\u95ee\u751f\u6210\u6a21\u578b\u5230\u5e95\u8be5\u9884\u6d4b\u566a\u58f0\u8fd8\u662f\u76f4\u63a5\u9884\u6d4b\u6570\u636e\u6d41\u5f62\uff0c\u4e5f\u6709\u7684\u5728\u628a\u6a21\u578b\u63a7\u5236\u7c92\u5ea6\u548c\u6cdb\u5316\u7a7a\u95f4\u4ece\u7c97\u7c92\u5ea6\u63a8\u8fdb\u5230\u66f4\u8fde\u7eed\u3001\u66f4\u771f\u5b9e\u7684\u5c42\u9762\u3002<\/p>\n<p>\u6362\u53e5\u8bdd\u8bf4\uff0c\u771f\u6b63\u503c\u5f97\u6ce8\u610f\u7684\u5df2\u7ecf\u4e0d\u53ea\u662f\u67d0\u4e00\u4e2a\u6a21\u578b\u5206\u6570\u63d0\u5347\u4e86\u591a\u5c11\uff0c\u800c\u662f\u8fd9\u4e00\u6279\u5de5\u4f5c\u5171\u540c\u91ca\u653e\u51fa\u7684\u4fe1\u53f7\uff1a\u89c6\u89c9\u6a21\u578b\u7684\u4e0b\u4e00\u8f6e\u7ade\u4e89\uff0c\u6b63\u5728\u4ece\u6027\u80fd\u589e\u91cf\u7ade\u4e89\uff0c\u8f6c\u5411\u5e95\u5c42\u5efa\u6a21\u8303\u5f0f\u7684\u91cd\u6784\u7ade\u4e89\u3002<\/p>\n<p>\u96f7\u5cf0\u7f51\u539f\u521b\u6587\u7ae0\uff0c\u672a\u7ecf\u6388\u6743\u7981\u6b62\u8f6c\u8f7d\u3002\u8be6\u60c5\u89c1<a href=\"https:\/\/r.xiumi.us\/board\/v5\/3qhbI\/392977584\" rel=\"nofollow\" target=\"_blank\">\u8f6c\u8f7d\u987b\u77e5<\/a>\u3002<\/p>\n<p>\n                        <a href=\"https:\/\/vip.yanxishe.com\/?from=leiphonearticle\" target=\"_blank\"><br \/>\n                            <a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2026\/04\/frc-ef1b38dfb738ad25d47c69ef4a8cea34.jpeg\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2026\/04\/frc-ef1b38dfb738ad25d47c69ef4a8cea34.jpeg\"><\/a><br \/>\n                        <\/a>\n                    <\/p>\n<p>                                            \u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:<a href=\"https:\/\/www.leiphone.com\/category\/ai\/z1AQwQ3RWjfvOGZe.html\" target=\"_blank\">CVPR 2026 \u751f\u6210\u5f0f AI \u89c2\u5bdf\u68b3\u7406\uff1a\u89c6\u89c9\u6a21\u578b\u5f00\u59cb\u91cd\u5199\u9ed8\u8ba4\u8bbe\u5b9a<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u8fc7\u53bb\u51e0\u5e74\uff0c\u89c6\u89c9\u751f\u6210\u4e0e\u89c6\u89c9\u7406\u89e3\u9886\u57df\u7684\u6280\u672f\u63a8 [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center 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