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\"DDIM\u4e4b\u7236\u5b8b\u4f73\u94ed\uff0c\u5ba3\u5e03\u79bb\u804c\"\/<\/div><\/figure>\n
\"DDIM\u4e4b\u7236\u5b8b\u4f73\u94ed\uff0c\u5ba3\u5e03\u79bb\u804c\"\/<\/div><\/figure>\n
\"DDIM\u4e4b\u7236\u5b8b\u4f73\u94ed\uff0c\u5ba3\u5e03\u79bb\u804c\"\/<\/div><\/figure>\n
\"DDIM\u4e4b\u7236\u5b8b\u4f73\u94ed\uff0c\u5ba3\u5e03\u79bb\u804c\"\/<\/div><\/figure>\n

\u8861\u5b87 \u53d1\u81ea \u51f9\u975e\u5bfa<\/p>\n

DDIM\u4e4b\u7236\u5b8b\u4f73\u94ed\uff08Jiaming Song\uff09\uff0c\u5728\u9886\u82f1\u4e0a\u53d1\u5e03\u4e86\u81ea\u5df1\u4eceLuma AI\u79bb\u804c\u7684\u6d88\u606f\u3002<\/p>\n

DDIM\u5168\u79f0Denoising Diffusion Implicit Models\u3002<\/p>\n

\u5982\u679c\u4f60\u7528\u8fc7\u4efb\u4f55\u57fa\u4e8e\u6269\u6563\u6a21\u578b\u7684\u56fe\u50cf\u751f\u6210\u5de5\u5177\uff0c\u80cc\u540e\u51e0\u4e4e\u90fd\u79bb\u4e0d\u5f00DDIM\u5e26\u6765\u7684\u91c7\u6837\u52a0\u901f\u6280\u672f\u3002<\/p>\n

\u8fd9\u4f4d\u63a8\u52a8\u6269\u6563\u6a21\u578b\u5de5\u4e1a\u5316\u843d\u5730\u7684\u5173\u952e\u4eba\u7269\u51fa\u8d70\uff0c\u6b63\u503c Luma AI\u51edDream Machine\u3001Uni-1.1\u7b49\u4ea7\u54c1\u8dfb\u8eab\u5168\u7403\u591a\u6a21\u6001\u7b2c\u4e00\u68af\u961f\u7684\u5173\u952e\u671f\u3002<\/p>\n

\u65f6\u95f4\u62c9\u56de2023\u5e74\u3002<\/p>\n

\u5f7c\u65f6\u5728\u82f1\u4f1f\u8fbe\u62c5\u4efb\u9ad8\u7ea7\u7814\u7a76\u79d1\u5b66\u5bb6\u7684\u5b8b\u4f73\u94ed\uff0c\u9009\u62e9\u8df3\u51fa\u5927\u5382\u4f53\u7cfb\uff0c\u52a0\u76df\u98ce\u5934\u6b63\u76db\u7684\u521d\u521b\u4f01\u4e1aLuma AI\uff0c\u51fa\u4efb\u9996\u5e2d\u79d1\u5b66\u5bb6\u3002<\/p>\n

\u4ed6\u5728\u52a8\u6001\u4e2d\u63d0\u5230\uff0c\u52a0\u5165Luma\u7684\u51e0\u5e74\u91cc\uff0c\u4ed6\u53c2\u4e0e\u63a8\u52a8\u4e86\u51e0\u6b21\u5173\u952e\u6280\u672f\u8f6c\u5411\uff0c\u4ece3D\u751f\u6210\u5230\u89c6\u9891\u751f\u6210\uff0c\u518d\u5230\u6700\u8fd1\u7684\u591a\u6a21\u6001\u57fa\u7840\u6a21\u578b\u3002<\/p>\n

2023\u5e74\uff0cAI 3D\u751f\u6210\u8d5b\u9053\u5168\u9762\u7206\u53d1\uff0c\u884c\u4e1a\u4e89\u76f8\u63a2\u7d22NeRF\u3001\u6587\u751f3D\u6280\u672f\u843d\u5730\u573a\u666f\uff0cLuma AI\u51ed\u501fGenie\u7cfb\u5217\u6a21\u578b\u7ad9\u7a33\u811a\u8ddf\u3002<\/p>\n

2024\u5e74\uff0c\u6587\u751f\u89c6\u9891\u6210\u4e3a\u884c\u4e1a\u65b0\u98ce\u53e3\uff0cOpenAI Sora\u95ee\u4e16\u5e26\u52a8\u5168\u7f51\u89c6\u9891AI\u7ade\u8d5b\uff0cLuma AI\u987a\u52bf\u63a8\u51faDream Machine\uff0c\u51ed\u6781\u81f4\u7684\u753b\u9762\u4e00\u81f4\u6027\u3001\u7535\u5f71\u7ea7\u8fd0\u955c\u80fd\u529b\u51fa\u5708\u3002<\/p>\n

2025\u5e74\u81f3\u4eca\uff0c\u5355\u4e00\u6a21\u6001\u6a21\u578b\u9010\u6e10\u9047\u9876\uff0c\u591a\u6a21\u6001\u5927\u4e00\u7edf\u3001AI\u4e16\u754c\u6a21\u578b\u6210\u4e3a\u884c\u4e1a\u65b0\u53d9\u4e8b\uff0cLuma AI\u53c8\u5feb\u901f\u8fed\u4ee3\u51faUni-1.1\u591a\u6a21\u6001\u6a21\u578b\uff0c\u5b8c\u6210\u6280\u672f\u8d5b\u9053\u7684\u518d\u5ea6\u5347\u7ea7\u3002<\/p>\n

Luma\u7684\u8f6c\u578b\u8f68\u8ff9\uff0c\u51e0\u4e4e\u5c31\u662fAI\u751f\u6210\u8d5b\u9053\u8fc7\u53bb\u4e09\u5e74\u7684\u7f29\u5f71\u3002<\/p>\n

\u5b8b\u4f73\u94ed\u52a0\u5165LumaAI\u7684\u8282\u70b9\uff0c\u6b63\u597d\u662f\u8fd9\u5bb6\u516c\u53f8\u4ece3D\u751f\u6210\u4ea7\u54c1\u5411\u591a\u6a21\u6001\u57fa\u7840\u6a21\u578b\u52a0\u901f\u8f6c\u578b\u7684\u65f6\u5019\u3002<\/p>\n

\u5f7c\u65f6LumaAI\u521a\u62ff\u5230a16z\u9886\u6295\u7684B\u8f6e\u878d\u8d44\uff0c\u4e00\u8fb9\u53d1\u5e03Genie1.0\u7ee7\u7eed\u62bc\u6ce8\u6587\u751f3D\uff0c\u4e00\u8fb9\u628a\u878d\u8d44\u7528\u9014\u6307\u5411\u57fa\u7840\u6a21\u578b\u7b97\u529b\u3001\u6570\u636e\u548c\u56e2\u961f\u6269\u5f20\u3002<\/p>\n

\u5b8b\u4f73\u94ed\u611f\u6168\u9053\uff0c\u5728Luma\u5de5\u4f5c\u671f\u95f4\uff0c\u4ed6\u6709\u673a\u4f1a\u548c\u4e00\u7fa4\u51fa\u8272\u7814\u7a76\u8005\u4e00\u8d77\u5de5\u4f5c\uff0c\u5e76\u5e2e\u52a9\u642d\u5efa\u4e86\u4e00\u4e9b\u5f88\u591a\u4eba\u539f\u672c\u8ba4\u4e3a\u4e0d\u53ef\u80fd\u7531\u8fd9\u6837\u89c4\u6a21\u516c\u53f8\u5b8c\u6210\u7684\u7cfb\u7edf\u3002<\/p>\n

\u4e0d\u8fc7\u5728\u4e0e\u8fd9\u5bb6\u516c\u53f8\u5e76\u80a9\u4f5c\u6218\u63a5\u8fd1\u4e09\u5e74\u540e\uff0c\u5b8b\u4f73\u94ed\u51b3\u5fc3\u79bb\u5f00\u3002<\/p>\n

\u76ee\u524d\uff0c\u5b8b\u4f73\u94ed\u7684LinkedIn\u804c\u4e1a\u4fe1\u606f\u5df2\u66f4\u65b0\uff0c\u4ed6\u5df2\u4e8e\u672c\u6708\u79bb\u804c\u3002<\/p>\n

\u4f46\u5c1a\u672a\u672a\u6807\u6ce8\u5176\u65b0\u4efb\u804c\u516c\u53f8\u6216\u4efb\u4f55\u521b\u4e1a\u8ba1\u5212\u3002<\/p>\n

\u5b8b\u4f73\u94ed\u7684\u6838\u5fc3\u6807\u7b7e\uff0c\u662f\u6269\u6563\u6a21\u578b\u843d\u5730\u65f6\u4ee3\u7684\u5f00\u521b\u8005\u3002<\/p>\n

\u6700\u91cd\u8981\u7684\u5de5\u4f5c\u662f\u4ed62020\u5e74\u4f5c\u4e3a\u4e00\u4f5c\u63d0\u51fa\u7684DDIM\u3002<\/p>\n

\u8fd9\u7bc7\u8bba\u6587\u4e0eDDPM\u5171\u540c\u5960\u5b9a\u4e86\u6269\u6563\u6a21\u578b\u5728\u56fe\u50cf\u751f\u6210\u9886\u57df\u7684\u7406\u8bba\u57fa\u7840\uff0c\u76f4\u63a5\u5f71\u54cd\u4e86\u540e\u6765Stable Diffusion\u3001DALL-E\u3001Midjourney\u7b49\u4ea7\u54c1\u7684\u6280\u672f\u8def\u7ebf\u3002<\/p>\n

\u53ef\u4ee5\u8fd9\u6837\u8bf4\uff0c\u6ca1\u6709DDIM\uff0c\u751f\u6210\u5f0fAI\u7684\u7206\u53d1\u53ef\u80fd\u8981\u665a\u5f88\u591a\u3002<\/p>\n

\u9664DDIM\u5916\uff0c\u5b8b\u4f73\u94ed\u4e5f\u53c2\u4e0e\u4e86SDEdit\u7b49\u65e9\u671f\u6269\u6563\u6a21\u578b\u4ee3\u8868\u6027\u5de5\u4f5c\u3002<\/p>\n

\u65f6\u95f4\u7ebf\u5f80\u524d\u62c9\uff0c\u5b8b\u4f73\u94ed\u7684\u5c65\u5386\u4e5f\u4e00\u76f4\u6cbf\u7740\u673a\u5668\u5b66\u4e60\u548c\u751f\u6210\u6a21\u578b\u5c55\u5f00\u3002<\/p>\n

\u5b8b\u4f73\u94ed\u751f\u4e8e1994\u5e74\u3002<\/p>\n

2012\u5e74\u81f32016\u5e74\uff0c\u5b8b\u4f73\u94ed\u5c31\u8bfb\u4e8e\u6e05\u534e\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u4e0e\u6280\u672f\u7cfb\u3002<\/p>\n

\u672c\u79d1\u6bd5\u4e1a\u65f6\u83b7\u5f97OutstandingHonor\uff0c\u6392\u540dTop1%\u3002<\/p>\n

\u5728\u6e05\u534e\u671f\u95f4\uff0c\u4ed6\u66fe\u4e0e\u6e05\u534e\u6559\u6388\u6731\u519b\u3001\u675c\u514b\u5927\u5b66\u6559\u6388Lawrence Carin\u5408\u4f5c\u3002<\/p>\n

\u672c\u79d1\u6bd5\u4e1a\u540e\uff0c\u5b8b\u4f73\u94ed\u8fdb\u5165\u65af\u5766\u798f\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb\u653b\u8bfb\u7855\u58eb\u548c\u535a\u58eb\uff0c\u5bfc\u5e08\u4e3aStefano Ermon\uff0c\u4e13\u653b\u751f\u6210\u6a21\u578b\u3001\u6982\u7387\u5efa\u6a21\u4e0e\u8ba1\u7b97\u673a\u89c6\u89c9\u65b9\u5411\u3002<\/p>\n

\u5728\u6b63\u5f0f\u8fdb\u5165\u5de5\u4e1a\u754c\u4e4b\u524d\uff0c\u5b8b\u4f73\u94ed\u5df2\u6709\u591a\u6bb5\u7814\u7a76\u7ecf\u5386\u3002<\/p>\n

2016\u5e74\uff0c\u4ed6\u5728\u65f7\u89c6\u5b9e\u4e60\uff1b2017\u5e74\uff0c\u4ed6\u66feOpenAI\u62c5\u4efb\u7814\u7a76\u5b9e\u4e60\u751f\uff1b2018\u5e74\uff0c\u4ed6\u53c8\u5728Meta FAIR\u5b9e\u4e60\u8fc7\u3002<\/p>\n

2021\u5e74\u81f32022\u5e74\uff0c\u4ed6\u5728\u65af\u5766\u798f\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb\u505a\u535a\u58eb\u540e\u7814\u7a76\u3002<\/p>\n

2022\u5e74\uff0c\u4ed6\u52a0\u5165\u82f1\u4f1f\u8fbe\u62c5\u4efb\u7814\u7a76\u79d1\u5b66\u5bb6\uff0c\u540e\u5347\u4efb\u9ad8\u7ea7\u7814\u7a76\u79d1\u5b66\u5bb6\uff0c\u671f\u95f4\u53c2\u4e0e\u4e86\u82f1\u4f1f\u8fbe\u7684\u4eba\u5de5\u667a\u80fd\u57fa\u7840\u7814\u7a76\u5de5\u4f5c\uff0c\u7279\u522b\u662f\u201cPicasso\u201d\u9879\u76ee\u3002<\/p>\n

2023\u5e74\uff0c\u5b8b\u4f73\u94ed\u8df3\u69fd\u5230Luma AI\uff0c\u62c5\u4efb\u9996\u5e2d\u79d1\u5b66\u5bb6\u3002<\/p>\n

\u5b8b\u4f73\u94ed\u53c2\u4e0e\u8fc7\u7684\u5de5\u4f5c\uff0c\u4e00\u8def\u4eceDDIM\u3001SDEdit\uff0c\u8d70\u5230\u4e86\u4eca\u5929\u7684\u591a\u6a21\u6001\u57fa\u7840\u6a21\u578b\u3002<\/p>\n

\u8ba9\u4eba\u4e0d\u7981\u611f\u6168\uff0cAI\u884c\u4e1a\u8fd9\u51e0\u5e74\u53d8\u5316\u5feb\u5f97\u6709\u70b9\u4e0d\u771f\u5b9e\u3002<\/p>\n

\u524d\u4e00\u5e74\u5927\u5bb6\u8fd8\u5728\u8ba8\u8bba\u6587\u751f3D\uff0c\u4e0b\u4e00\u5e74\u89c6\u9891\u751f\u6210\u7a81\u7136\u7206\u53d1\uff0c\u518d\u8fc7\u4e00\u5e74\uff0c\u591a\u6a21\u6001\u548c\u4e16\u754c\u6a21\u578b\u53c8\u6210\u4e86\u65b0\u7684\u65b9\u5411\u3002\u5f88\u591a\u66fe\u7ecf\u7099\u624b\u53ef\u70ed\u7684\u6982\u5ff5\uff0c\u5f88\u5feb\u5c31\u88ab\u4e0b\u4e00\u8f6e\u6280\u672f\u6d6a\u6f6e\u63a8\u7740\u5f80\u524d\u8d70\u3002<\/p>\n

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\u53c2\u8003\u94fe\u63a5\uff1ahttps:\/\/www.linkedin.com\/in\/jiamings\/<\/p>\n

\n

\u7248\u6743\u58f0\u660e\uff1a<\/strong><\/p>\n

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\u8861\u5b87 \u53d1\u81ea \u51f9\u975e\u5bfa<\/p>\n

DDIM\u4e4b\u7236\u5b8b\u4f73\u94ed\uff08Jiaming Song\uff09\uff0c\u5728\u9886\u82f1\u4e0a\u53d1\u5e03\u4e86\u81ea\u5df1\u4eceLuma AI\u79bb\u804c\u7684\u6d88\u606f\u3002<\/p>\n

DDIM\u5168\u79f0Denoising Diffusion Implicit Models\u3002<\/p>\n

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