{"id":12389,"date":"2026-09-18T19:07:10","date_gmt":"2026-09-18T11:07:10","guid":{"rendered":"https:\/\/infernews.com\/blog\/jepa-anything\/"},"modified":"2026-09-18T19:07:10","modified_gmt":"2026-09-18T11:07:10","slug":"jepa-anything","status":"publish","type":"post","link":"https:\/\/infernews.com\/blog\/jepa-anything\/","title":{"rendered":"JEPA-Anything \u4e00\u5957\u9810\u6e2c\u6846\u67b6\u6253\u901a\u4e0d\u540c\u4e16\u754c\u6a21\u578b"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/infernews.com\/blog\/wp-content\/uploads\/2026\/09\/pasted-3adef3654e90.jpg\" alt=\"JEPA-Anything overview: cross-domain predictive learning and Orthogonal Predictive Factorization\"><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">\u4e16\u754c\u6a21\u578b\u7684\u96e3\u984c\u4e4b\u4e00\uff0c\u662f\u4e0d\u540c\u9818\u57df\u770b\u4f3c\u5357\u8f45\u5317\u8f4d\uff0c\u537b\u5171\u4eab\u540c\u4e00\u500b\u6838\u5fc3\u554f\u984c\uff1a\u80fd\u5426\u7528\u540c\u4e00\u5957\u9810\u6e2c\u5b78\u7fd2\u539f\u5247\uff0c\u53bb\u8655\u7406\u5b8c\u5168\u4e0d\u540c\u7684\u4e16\u754c\uff1fGen-Verse \u7684 JEPA-Anything \u7784\u6e96\u7684\u6b63\u662f\u9019\u500b\u9577\u671f\u5361\u4f4d\u3002\u5b83\u4ee5 joint-embedding predictive architectures\uff08JEPAs\uff09\u70ba\u57fa\u790e\uff0c\u628a\u50b3\u7d71\u90a3\u584a\u300c\u55ae\u4e00\u3001\u6574\u584a\u300d\u7684\u76ee\u6a19\u8868\u5fb5\u62c6\u958b\uff0c\u6539\u7531\u4e00\u7a2e\u53eb Orthogonal Predictive Factorization\uff08OPF\uff09\u7684\u505a\u6cd5\uff0c\u628a\u6f5b\u5728\u7684 world state \u5207\u6210\u591a\u500b\u4e92\u88dc\u7684\u9810\u6e2c\u56e0\u5b50\uff0c\u6bcf\u500b\u56e0\u5b50\u5404\u81ea\u8d70\u4e00\u689d\u9810\u6e2c\u8def\u5f91\uff0c\u6700\u5f8c\u518d\u91cd\u7d44\u56de\u5b8c\u6574\u72c0\u614b\uff0c\u4f5c\u70ba\u4e0b\u6e38\u8b80\u53d6\u3001\u5e72\u9810\u9810\u6e2c\u3001\u898f\u5283\u8207\u591a\u6b65 rollout \u7684\u63a5\u53e3\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u5c0d\u7814\u7a76\u8005\u8207\u5de5\u7a0b\u5718\u968a\u800c\u8a00\uff0c\u5b83\u7684\u50f9\u503c\u5728\u65bc\u5141\u8a31\u4e0d\u540c\u9818\u57df\u4fdd\u7559\u5404\u81ea\u7684\u89c0\u6e2c\u3001context\u2013target \u7d50\u69cb\u8207\u7de8\u78bc\u5668\uff0c\u537b\u5171\u4eab\u540c\u4e00\u500b\u9810\u6e2c\u6838\u5fc3\u8207\u6f5b\u5728\u72c0\u614b\u63a5\u53e3\u3002\u63db\u53e5\u8a71\uff0c\u9818\u57df\u4e0d\u5fc5\u5171\u7528\u540c\u4e00\u500b\u7de8\u78bc\u5668\uff0c\u4e5f\u4e0d\u5fc5\u5171\u7528\u540c\u4e00\u7d44\u6b0a\u91cd\uff0c\u537b\u4ecd\u80fd\u5fa9\u7528\u540c\u4e00\u5957\u5efa\u6a21\u908f\u8f2f\u3002\u6846\u67b6\u5167\u90e8\u9664\u4e86\u53ef\u91cd\u7528\u7684 projection\u3001objectives\u3001baselines\u3001representation diagnostics \u5916\uff0c\u4e5f\u63d0\u4f9b\u4efb\u52d9\u898f\u683c\u9a57\u8b49\u8207\u5be6\u4f5c scaffold \u5de5\u5177\uff0c\u4e26\u9644\u4e0a\u4e00\u500b\u53ef\u63a7\u52d5\u529b\u7cfb\u7d71\u4f5c\u70ba\u8d77\u6b65\u7bc4\u4f8b\uff0c\u65b9\u4fbf\u5718\u968a\u5728\u81ea\u5df1\u7684\u9818\u57df\u843d\u5730\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u76f8\u8f03\u65bc\u91dd\u5c0d\u55ae\u4e00\u9818\u57df\u8a13\u7df4\u7684 world model\uff0cJEPA-Anything \u53d6\u6368\u7684\u65b9\u5411\u662f\u653e\u68c4\u300c\u4e00\u5957\u6b0a\u91cd\u6253\u5929\u4e0b\u300d\u7684\u91ce\u5fc3\uff0c\u6539\u70ba\u63d0\u4f9b\u4e00\u500b\u7d50\u69cb\u5316\u7684\u5171\u4eab\u63a5\u53e3\u8207\u9810\u6e2c\u8def\u5f91\u3002\u5b83\u5c0d\u65bc\u9700\u8981\u628a\u751f\u7269\u5e72\u9810\u3001\u7269\u7406\u5b9a\u5f8b\u7b49\u5be6\u9a57\u8a0a\u865f\u63a5\u56de\u6a21\u578b\u5167\u90e8\u505a\u5206\u6790\u7684\u5834\u666f\u5c24\u5176\u6709\u7528\uff0c\u540c\u6642\u8b93 out-of-distribution \u9810\u6e2c\u8207\u9577\u7a0b rollout \u6709\u66f4\u6e05\u695a\u7684\u8868\u793a\u57fa\u790e\u3002\u6a21\u578b\u6b0a\u91cd\u8207\u8a55\u4f30\u53ef\u5728 Hugging Face \u4e0a\u7684\u5c0d\u61c9\u9801\u9762\u53d6\u5f97\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/github.com\/Gen-Verse\/JEPA-Anything\" rel=\"noopener noreferrer\"><strong>GitHub<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>JEPA-Anything \u63d0\u51fa domain-agnostic \u6846\u67b6\uff0c\u628a\u7d30\u80de\u3001\u5206\u5b50\u3001\u7269\u7406\u5834\u3001\u63a7\u5236\u74b0\u5883\u3001\u81e8\u5e8a\u8ecc\u8de1\u7b49\u5dee\u7570\u6975\u5927\u7684\u4e16\u754c\uff0c\u4ea4\u7d66\u540c\u4e00\u5957\u9810\u6e2c\u539f\u7406\u5b78\u7fd2\u3002\u5b83\u7528 Orthogonal Predictive Factorization \u53d6\u4ee3\u55ae\u4e00\u76ee\u6a19\u8868\u5fb5\uff0c\u5617\u8a66\u8b93\u8de8\u9818\u57df\u7684\u4e16\u754c\u6a21\u578b\u6709\u5171\u4eab\u63a5\u53e3\u3002<\/p>\n","protected":false},"author":8,"featured_media":12388,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"wpai_generated_summary":"","footnotes":""},"categories":[133,131,186,127,197,38],"tags":[],"class_list":["post-12389","post","type-post","status-publish","format-standard","hentry","category-133","category-embedding","category-186","category-127","category-framework","category-38"],"_links":{"self":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/12389","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/comments?post=12389"}],"version-history":[{"count":0,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/12389\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/media\/12388"}],"wp:attachment":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/media?parent=12389"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/categories?post=12389"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/tags?post=12389"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}