{"id":39798,"date":"2023-01-13T23:36:47","date_gmt":"2023-01-13T15:36:47","guid":{"rendered":"https:\/\/swarma.org\/?p=39798"},"modified":"2023-01-13T23:36:47","modified_gmt":"2023-01-13T15:36:47","slug":"ai%e7%94%9f%e6%88%90%e8%89%ba%e6%9c%af%e7%9a%84%e5%ba%95%e5%b1%82%e5%8e%9f%e7%90%86%ef%bc%9a%e9%9d%9e%e5%b9%b3%e8%a1%a1%e7%89%a9%e7%90%86%e7%9a%84%e6%89%a9%e6%95%a3%e6%a8%a1%e5%9e%8b","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=39798","title":{"rendered":"AI\u751f\u6210\u827a\u672f\u7684\u5e95\u5c42\u539f\u7406\uff1a\u975e\u5e73\u8861\u7269\u7406\u7684\u6269\u6563\u6a21\u578b"},"content":{"rendered":"
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\u4e00\u628a\u725b\u6cb9\u679c\u5f62\u72b6\u7684\u6905\u5b50\uff0c\u718a\u732b\u5728\u6e56\u9762\u4e0a\u6e9c\u51b0\uff0c\u888b\u9f20\u73a9\u56fd\u9645\u8c61\u68cb\uff0c\u5b87\u822a\u5458\u5728\u706b\u661f\u4e0a\u9a91\u81ea\u884c\u8f66…… DALL\u00b7E 2, Stable Diffusion \u7b49\u56fe\u50cf\u751f\u6210\u6a21\u578b\u53ef\u4ee5\u6839\u636e\u8f93\u5165\u6587\u672c\uff0c\u4ea7\u751f\u5404\u79cd\u8d85\u4e4e\u60f3\u8c61\u7684\u56fe\u7247\u3002\u8fd9\u80cc\u540e\u7684\u539f\u7406\uff0c\u6765\u81ea\u975e\u5e73\u8861\u7269\u7406\u4e2d\u7684\u6269\u6563\u6a21\u578b\u3002\u5982\u679c\u4e3a\u9ad8\u7ef4\u56fe\u50cf\u7a7a\u95f4\u4e2d\u7684\u50cf\u7d20\u6dfb\u52a0\u566a\u58f0\uff0c\u50cf\u58a8\u6c34\u5728\u6c34\u4e2d\u6269\u6563\uff0c\u7136\u540e\u9006\u8f6c\u8fd9\u4e00\u8fc7\u7a0b\uff0c\u5c31\u53ef\u4ee5\u4ece\u566a\u58f0\u4e2d\u751f\u6210\u56fe\u50cf\uff0c\u5f97\u5230\u51fa\u4e4e\u610f\u6599\u7684\u56fe\u50cf\u7ec4\u5408\u3002<\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/p>\n


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\u4e3a\u4e86\u63a2\u7d22\u590d\u6742\u79d1\u5b66\u4e0e\u4eba\u6587\u827a\u672f\u4ea4\u53c9\u9886\u57df\uff0c\u96c6\u667a\u4ff1\u4e50\u90e8\u6b63\u5728\u4e3b\u529e\u201c\u590d\u6742\u79d1\u5b66\u4e0e\u827a\u672f<\/a>\u201d\u7814\u8ba8\u4f1a\uff0c\u6c47\u805a\u5404\u9886\u57df\u5185\u7684\u884c\u52a8\u8005\u4e0e\u601d\u60f3\u8005\u2014\u2014\u5305\u62ec\u79d1\u5b66\u5bb6\u3001\u827a\u672f\u5bb6\u3001\u5b66\u8005\u53ca\u76f8\u5173\u4ece\u4e1a\u8005\uff0c\u5c55\u5f00\u8de8\u5b66\u79d1\u7814\u8ba8\uff0c\u5e76\u5408\u4f5c\u4ea7\u51fa\u3002\u7814\u8ba8\u4f1a\u6bcf\u6708\u4e00\u671f\uff0c\u6301\u7eed\u81f32023\u5e746\u6708\u3002AI\u751f\u6210\u5f0f\u827a\u672f\u4e5f\u662f\u7814\u8ba8\u4f1a\u4e3b\u9898\u4e4b\u4e00\u3002\u6b22\u8fce\u611f\u5174\u8da3\u7684\u670b\u53cb\u62a5\u540d\u52a0\u5165\u3002\u62a5\u540d\u5165\u53e3\u53ca\u8be6\u60c5\u89c1\u6587\u672b\u3002<\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/p>\n


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\u5173\u952e\u8bcd\uff1aAI \u751f\u6210\u827a\u672f\uff0c\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff0c\u6269\u6563\u6a21\u578b\uff0c\u975e\u5e73\u8861\u70ed\u529b\u5b66\uff0c\u4eba\u5de5\u667a\u80fd<\/span><\/strong><\/span><\/strong><\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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Anil Ananthaswamy<\/span> <\/span>| <\/strong><\/span>\u4f5c\u8005<\/strong><\/span><\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/p>\n

\u6731\u6b23\u6021<\/span> <\/span>| \u8bd1\u8005<\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/span><\/strong><\/span><\/p>\n

\u6881\u91d1<\/span> <\/span>| <\/strong><\/span>\u5ba1\u6821<\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/span><\/strong><\/span><\/p>\n

\u9093\u4e00\u96ea<\/span> <\/span>| <\/strong><\/span>\u7f16\u8f91<\/strong><\/p>\n


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DALL\u00b7E2 \u662f OpenAI \u521b\u9020\u7684\u56fe\u50cf\u751f\u6210\u7cfb\u7edf\u3002\u8ba9\u5b83\u63cf\u7ed8\u201c\u91d1\u9c7c\u5728\u6d77\u6ee9\u4e0a\u559d\u53ef\u53e3\u53ef\u4e50\u201d\u7684\u56fe\u7247\uff0c\u751f\u6210\u7ed3\u679c\u5c06\u5b8c\u5168\u662f\u8d85\u73b0\u5b9e\u4e3b\u4e49\u7684\u56fe\u50cf\u3002\u7a0b\u5e8f\u5728\u8bad\u7ec3\u4e2d\u4f1a\u9047\u89c1\u6d77\u6ee9\u3001\u91d1\u9c7c\u548c\u53ef\u53e3\u53ef\u4e50\u7684\u56fe\u50cf\uff0c\u4f46\u4e0d\u5927\u53ef\u80fd\u770b\u5230\u4e09\u79cd\u56fe\u50cf\u7684\u76f4\u63a5\u7ed3\u5408\u4f53\u3002\u7136\u800c DALL\u00b7E2 \u53ef\u4ee5\u7ec4\u5408\u8fd9\u4e9b\u6982\u5ff5\uff0c\u751f\u6210\u7ed3\u679c\u53ef\u80fd\u8ba9\u8d85\u73b0\u5b9e\u4e3b\u4e49\u753b\u5bb6\u8fbe\u5229\u4e5f\u611f\u5230\u9a84\u50b2\u3002<\/span><\/section>\n
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DALL\u00b7E2\u662f\u4e00\u79cd\u751f\u6210\u6a21\u578b\uff0c\u5b83\u5c1d\u8bd5\u4f7f\u7528\u8bad\u7ec3\u96c6\u6570\u636e\uff0c\u751f\u6210\u5728\u8d28\u91cf\u548c\u591a\u6837\u6027\u65b9\u9762\u582a\u6bd4\u539f\u6570\u636e\u7684\u65b0\u4e1c\u897f\u3002\u8fd9\u662f\u673a\u5668\u5b66\u4e60\u4e2d\u6700\u56f0\u96be\u7684\u95ee\u9898\u4e4b\u4e00\uff0c\u8981\u8d70\u5230\u8fd9\u4e00\u6b65\u5341\u5206\u8270\u8f9b\u3002<\/span><\/section>\n
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\u7b2c\u4e00\u79cd\u91cd\u8981\u7684\u56fe\u50cf\u751f\u6210\u6a21\u578b\u4f7f\u7528\u7684\u662f\u88ab\u79f0\u4e3a\u795e\u7ecf\u7f51\u7edc\u7684\u4eba\u5de5\u667a\u80fd\u65b9\u6cd5\uff0c\u795e\u7ecf\u7f51\u7edc\u662f\u7531\u591a\u5c42\u8ba1\u7b97\u5355\u5143<\/span>\uff08\u5373\u4eba\u5de5\u795e\u7ecf\u5143\uff09<\/span>\u7ec4\u6210\u7684\u7a0b\u5e8f\u3002\u5c3d\u7ba1\u8fd9\u4e9b\u6a21\u578b\u80fd\u8ba9\u56fe\u50cf\u8d28\u91cf\u53d8\u5f97\u66f4\u597d\uff0c\u4f46\u5e76\u4e0d\u53ef\u9760\u4e14\u96be\u4ee5\u8bad\u7ec3\u3002\u4e0e\u6b64\u540c\u65f6\uff0c\u4e00\u4f4d\u5bf9\u7269\u7406\u5b66\u5145\u6ee1\u70ed\u60c5\u7684\u535a\u58eb\u540e\u7814\u7a76\u5458\u521b\u9020\u4e86\u4e00\u4e2a\u5f3a\u5927\u7684\u751f\u6210\u6a21\u578b\uff0c\u8fd9\u4e2a\u6a21\u578b\u6c89\u7761\u826f\u4e45\uff0c\u76f4\u5230\u4e24\u540d\u7814\u7a76\u751f\u53d6\u5f97\u6280\u672f\u7a81\u7834\uff0c\u624d\u4f7f\u8fd9\u4e2a\u91ce\u517d\u590d\u6d3b\u3002<\/span><\/section>\n
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DALL\u00b7E2 \u5c31\u662f\u8fd9\u6837\u4e00\u53ea\u91ce\u517d\u3002\u4f7f DALL\u00b7E2 \u53ca\u5176\u7ade\u4e89\u5bf9\u624b Stable Diffusion \u548c Imagen \u80fd\u591f\u6210\u50cf\u7684\u5173\u952e\u5185\u56e0\u6e90\u4e8e\u7269\u7406\u4e16\u754c\u3002\u652f\u6491\u5b83\u4eec\u7684\u7cfb\u7edf\u662f\u8457\u540d\u7684\u6269\u6563\u6a21\u578b<\/span>\uff08diffusion model\uff09<\/span>\uff0c\u5b83\u6df1\u53d7\u652f\u914d\u7740\u6d41\u4f53\u548c\u6c14\u4f53\u6269\u6563\u7b49\u73b0\u8c61\u7684\u975e\u5e73\u8861\u70ed\u529b\u5b66\u542f\u53d1\u3002OpenAI \u7684\u673a\u5668\u5b66\u4e60\u7814\u7a76\u5458\u5b8b\u98cf\u8868\u793a\uff0c\u201c\u6709\u5f88\u591a\u6280\u672f\u6700\u521d\u662f\u7269\u7406\u5b66\u5bb6\u53d1\u660e\u7684\uff0c\u73b0\u5728\u5728\u673a\u5668\u5b66\u4e60\u4e2d\u975e\u5e38\u91cd\u8981\u3002\u201d<\/span><\/section>\n
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\u8fd9\u4e9b\u6a21\u578b\u7684\u5f3a\u5927\u529f\u80fd\u9707\u64bc\u4e86\u5de5\u4e1a\u754c\u548c\u7528\u6237\u3002\u52a0\u5dde\u7406\u5de5\u5b66\u9662\u8ba1\u7b97\u673a\u79d1\u5b66\u5bb6\u3001\u82f1\u4f1f\u8fbe\u673a\u5668\u5b66\u4e60\u7814\u7a76\u9ad8\u7ea7\u603b\u76d1 Anima Anandkumar \u8bf4\uff1a\u201c\u5bf9\u4e8e\u751f\u6210\u6a21\u578b\u6765\u8bf4\uff0c\u8fd9\u662f\u4e00\u4e2a\u4ee4\u4eba\u5174\u594b\u7684\u65f6\u523b\u3002\u867d\u7136\u6269\u6563\u6a21\u578b\u521b\u9020\u7684\u903c\u771f\u56fe\u50cf\u6709\u65f6\u4f1a\u5ef6\u7eed\u793e\u4f1a\u548c\u6587\u5316\u504f\u89c1\uff0c\u4f46\u6211\u4eec\u5df2\u7ecf\u8bc1\u660e\uff0c\u751f\u6210\u6a21\u578b\u5bf9\u4e0b\u6e38\u4efb\u52a1\u5f88\u6709\u7528\uff0c\u53ef\u4ee5\u63d0\u9ad8\u9884\u6d4b\u6027\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u7684\u516c\u5e73\u6027\u3002\u201d<\/span><\/section>\n
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\u56fe1. DALL\u00b7E2 \u751f\u6210\u8fd9\u4e9b\u201c\u91d1\u9c7c\u5728\u6d77\u6ee9\u4e0a\u559d\u53ef\u53e3\u53ef\u4e50\u201d\u7684\u56fe\u50cf\u3002OpenAI \u521b\u5efa\u7684\u8fd9\u4e2a\u7a0b\u5e8f\u53ef\u80fd\u4ece\u672a\u9047\u5230\u8fc7\u7c7b\u4f3c\u7684\u56fe\u50cf\uff0c\u4f46\u4ecd\u7136\u53ef\u4ee5\u751f\u6210\u5b83\u4eec\u3002<\/span><\/p>\n

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\u8981\u7406\u89e3\u5982\u4f55\u5c06\u56fe\u50cf\u8f6c\u5316\u4e3a\u6570\u636e\uff0c\u53ef\u4ee5\u5148\u4ece\u4e00\u4e2a\u4ec5\u7531\u4e24\u4e2a\u76f8\u90bb\u7070\u5ea6\u50cf\u7d20\u70b9\u7ec4\u6210\u7684\u7b80\u5355\u56fe\u50cf\u5f00\u59cb\u3002\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u6bcf\u4e2a\u50cf\u7d20\u7684\u9634\u5f71<\/span>\uff08\u4ece0\u8868\u793a\u5168\u9ed1\u5230255\u8868\u793a\u5168\u767d\uff09<\/span>\uff0c\u7528\u4e24\u4e2a\u503c\u6765\u5b8c\u5168\u63cf\u8ff0\u8fd9\u4e2a\u56fe\u50cf\u3002\u6211\u4eec\u53ef\u4ee5\u7528\u8fd9\u4e24\u4e2a\u503c\u5c06\u56fe\u50cf\u6620\u5c04\u4e3a\u4e8c\u7ef4\u7a7a\u95f4\u4e2d\u7684\u4e00\u4e2a\u70b9\u3002<\/span><\/section>\n
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\u5982\u679c\u6211\u4eec\u5c06\u591a\u4e2a\u56fe\u50cf\u6807\u7ed8\u4e3a\u70b9\uff0c\u53ef\u80fd\u4f1a\u51fa\u73b0\u7c07\u2014\u2014\u67d0\u4e9b\u56fe\u50cf\u53ca\u5176\u5bf9\u5e94\u7684\u50cf\u7d20\u503c\u6bd4\u5176\u4ed6\u56fe\u50cf\u51fa\u73b0\u5f97\u66f4\u9891\u7e41\u3002\u73b0\u5728\u60f3\u8c61\u4e00\u4e2a\u5728\u5e73\u9762\u4e0a\u65b9\u7684\u66f2\u9762\uff0c\u5176\u4e2d\u66f2\u9762\u7684\u9ad8\u5ea6\u5bf9\u5e94\u4e8e\u7c07\u7684\u5bc6\u5ea6\u3002\u66f2\u9762\u7ed8\u5236\u51fa\u56fe\u50cf\u50cf\u7d20\u7684\u6982\u7387\u5206\u5e03\u56fe\u3002\u6211\u4eec\u6700\u6709\u53ef\u80fd\u5728\u66f2\u9762\u7684\u6700\u9ad8\u90e8\u5206\u4e0b\u65b9\u627e\u5230\u5355\u4e2a\u6570\u636e\u70b9\uff0c\u800c\u5728\u66f2\u9762\u7684\u6700\u4f4e\u90e8\u5206\u627e\u5230\u7684\u6570\u636e\u70b9\u5f88\u5c11\u3002<\/span><\/section>\n
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\u73b0\u5728\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u8fd9\u4e2a\u6982\u7387\u5206\u5e03\u751f\u6210\u65b0\u56fe\u50cf\u3002\u9700\u8981\u505a\u7684\u5c31\u662f\u968f\u673a\u751f\u6210\u65b0\u7684\u6570\u636e\u70b9\uff0c\u540c\u65f6\u9075\u5b88\u4e00\u4e2a\u9650\u5236\uff0c\u66f4\u591a\u5730\u751f\u6210\u9ad8\u6982\u7387\u6570\u636e\u2014\u2014\u8fd9\u4e2a\u8fc7\u7a0b\u88ab\u79f0\u4e3a\u5bf9\u5206\u5e03\u201c\u91c7\u6837\u201d\u3002\u6bcf\u4e00\u4e2a\u65b0\u7684\u70b9\u90fd\u662f\u4e00\u4e2a\u65b0\u7684\u56fe\u50cf\u3002<\/span><\/section>\n
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\u540c\u6837\u7684\u5206\u6790\u4e5f\u9002\u7528\u4e8e\u66f4\u903c\u771f\u7684\u7070\u5ea6\u7167\u7247\uff0c\u6bd4\u5982\u8bf4\u6bcf\u5f20\u7167\u7247\u6709100\u4e07\u50cf\u7d20\u3002\u4e0d\u8fc7\u73b0\u5728\uff0c\u7ed8\u5236\u56fe\u50cf\u9700\u8981100\u4e07\u4e2a\u5750\u6807\u8f74\uff0c\u800c\u4e0d\u662f\u4e24\u4e2a\u3002\u8fd9\u4e9b\u56fe\u50cf\u7684\u6982\u7387\u5206\u5e03\u5c06\u662f\u590d\u6742\u7684100\u4e07+1\u7ef4\u66f2\u9762\u3002\u5982\u679c\u5bf9\u8be5\u5206\u5e03\u8fdb\u884c\u91c7\u6837\uff0c\u5c06\u751f\u6210100\u4e07\u4e2a\u50cf\u7d20\u503c\u3002\u5c06\u8fd9\u4e9b\u50cf\u7d20\u6253\u5370\u5728\u4e00\u5f20\u7eb8\u4e0a\uff0c\u56fe\u50cf\u770b\u8d77\u6765\u5c31\u5f88\u53ef\u80fd\u50cf\u539f\u59cb\u56fe\u50cf\u3002<\/span><\/section>\n
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\u751f\u6210\u6a21\u578b\u9762\u4e34\u7684\u6311\u6218\u5728\u4e8e\uff1a\u5b66\u4e60\u6784\u6210\u8bad\u7ec3\u6570\u636e\u7684\u67d0\u7ec4\u56fe\u50cf\u7684\u8fd9\u79cd\u590d\u6742\u6982\u7387\u5206\u5e03\u3002\u8fd9\u79cd\u5206\u5e03\u4e4b\u6240\u4ee5\u6709\u7528\uff0c\u65e2\u56e0\u4e3a\u5b83\u6355\u6349\u5230\u4e86\u6570\u636e\u7684\u5168\u5c40\u4fe1\u606f\uff0c\u53c8\u56e0\u4e3a\u7814\u7a76\u4eba\u5458\u53ef\u4ee5\u7ed3\u5408\u4e0d\u540c\u7c7b\u578b\u6570\u636e<\/span>\uff08\u6bd4\u5982\u6587\u672c\u548c\u56fe\u50cf\uff09<\/span>\u7684\u6982\u7387\u5206\u5e03\uff0c\u7ec4\u6210\u8d85\u73b0\u5b9e\u7684\u8f93\u51fa\uff0c\u5982\u91d1\u9c7c\u5728\u6d77\u6ee9\u4e0a\u559d\u53ef\u53e3\u53ef\u4e50\u3002Anandkumar \u8bf4\uff1a\u201c\u4f60\u53ef\u4ee5\u6df7\u5408\u548c\u5339\u914d\u4e0d\u540c\u7684\u6982\u5ff5…\u521b\u9020\u5168\u65b0\u7684\u3001\u8bad\u7ec3\u6570\u636e\u91cc\u4e5f\u6ca1\u6709\u7684\u573a\u666f\u3002\u201d<\/span><\/section>\n
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2014\u5e74\uff0c\u751f\u6210\u5bf9\u6297\u7f51\u7edc<\/span>\uff08GAN\uff09<\/span>\u6a21\u578b\u6210\u4e3a\u7b2c\u4e00\u4e2a\u80fd\u4ea7\u751f\u771f\u5b9e\u56fe\u50cf\u7684\u6a21\u578b\u3002\u4f46\u662f GAN \u5f88\u96be\u8bad\u7ec3\uff1a\u5b83\u4eec\u53ef\u80fd\u4e0d\u80fd\u5b66\u4e60\u5b8c\u6574\u7684\u6982\u7387\u5206\u5e03\uff0c\u5e76\u4e14\u53ef\u80fd\u9501\u5b9a\u5728\u5206\u5e03\u7684\u5b50\u96c6\u6765\u4ea7\u751f\u56fe\u50cf\u3002\u4f8b\u5982\uff0c\u5728\u5404\u79cd\u52a8\u7269\u7684\u56fe\u50cf\u4e0a\u8bad\u7ec3 GAN\uff0c\u5374\u53ef\u80fd\u4ec5\u751f\u6210\u72d7\u7684\u56fe\u7247\u3002<\/span><\/section>\n
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\u63d0\u51fa\u751f\u6210\u5bf9\u6297\u7f51\u7edc\uff08GAN\uff09\u6a21\u578b\u7684\u8bba\u6587\uff082014\uff09<\/span><\/section>\n
\u8bba\u6587\u9898\u76ee\uff1aGenerative Adversarial Networks<\/span><\/section>\n
\u8bba\u6587\u94fe\u63a5\uff1a<\/span>https:\/\/arxiv.org\/abs\/1406.2661<\/span> <\/span><\/section>\n<\/blockquote>\n

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\u673a\u5668\u5b66\u4e60\u9700\u8981\u4e00\u4e2a\u66f4\u7a33\u5065\u7684\u6a21\u578b\u3002\u5728\u7269\u7406\u5b66\u542f\u53d1\u4e0b\uff0cJascha Sohl-Dickstein \u5c06\u63d0\u4f9b\u4e00\u4e2a\u5b9e\u4f8b\u3002<\/span><\/section>\n
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\u56fe2. Jascha Sohl-Dickstein \u57fa\u4e8e\u6269\u6563\u539f\u7406\u5f00\u53d1\u4e86\u4e00\u5957\u65b0\u7684\u751f\u6210\u6a21\u578b\u7b97\u6cd5\u3002| \u6765\u6e90\uff1aAsako Miyakawa<\/span><\/p>\n


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\u5728 GAN \u8bde\u751f\u4e4b\u9645\uff0cSohl-Dickstein \u8fd8\u662f\u65af\u5766\u798f\u5927\u5b66\u5927\u5b66\u7684\u535a\u58eb\u540e\uff0c\u81f4\u529b\u4e8e\u751f\u6210\u6a21\u578b\u7684\u7814\u7a76\uff0c\u540c\u65f6\u5bf9\u975e\u5e73\u8861\u70ed\u529b\u5b66\u5f88\u611f\u5174\u8da3\u3002\u7269\u7406\u5b66\u7684\u8fd9\u4e00\u5206\u652f\u7814\u7a76\u4e0d\u5904\u4e8e\u70ed\u5e73\u8861\u7684\u7cfb\u7edf\u2014\u2014\u5728\u7cfb\u7edf\u5185\u90e8\u548c\u7cfb\u7edf-\u73af\u5883\u4e4b\u95f4\u6709\u7269\u8d28\u4e0e\u80fd\u91cf\u4ea4\u6362\u3002<\/span><\/section>\n
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\u4e00\u4e2a\u89e3\u91ca\u6027\u7684\u4f8b\u5b50\u662f\uff0c\u4e00\u6ef4\u84dd\u8272\u58a8\u6c34\u6269\u6563\u5230\u6574\u4e2a\u76db\u6c34\u7684\u5bb9\u5668\u4e2d\u3002\u8d77\u521d\uff0c\u58a8\u6c34\u5728\u7a7a\u95f4\u4e00\u70b9\u5f62\u6210\u4e00\u4e2a\u9ed1\u8272\u6591\u70b9\u3002\u6b64\u65f6\uff0c\u5982\u679c\u8981\u8ba1\u7b97\u5728\u5bb9\u5668\u7684\u67d0\u4e2a\u5c0f\u4f53\u79ef\u5185\u627e\u5230\u58a8\u6c34\u5206\u5b50\u7684\u6982\u7387\uff0c\u9700\u8981\u4e00\u4e2a\u6982\u7387\u5206\u5e03\u80fd\u6e05\u6670\u5730\u6a21\u62df\u58a8\u6c34\u5f00\u59cb\u6269\u6563\u524d\u7684\u521d\u59cb\u72b6\u6001\u3002\u4f46\u8fd9\u79cd\u5206\u5e03\u5f88\u590d\u6742\uff0c\u56e0\u6b64\u5f88\u96be\u53d6\u6837\u3002<\/span><\/section>\n
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\u7136\u800c\uff0c\u58a8\u6c34\u6700\u7ec8\u4f1a\u6269\u6563\u5230\u6c34\u4e2d\uff0c\u4f7f\u6c34\u53d8\u6210\u6d45\u84dd\u8272\u3002\u8fd9\u5bfc\u81f4\u66f4\u7b80\u5355\u3001\u66f4\u5747\u5300\u7684\u5206\u5b50\u6982\u7387\u5206\u5e03\uff0c\u53ef\u4ee5\u76f4\u63a5\u7528\u6570\u5b66\u8868\u8fbe\u5f0f\u6765\u63cf\u8ff0\u3002\u975e\u5e73\u8861\u70ed\u529b\u5b66\u63cf\u8ff0\u4e86\u6269\u6563\u8fc7\u7a0b\u4e2d\u6bcf\u4e00\u65f6\u523b\u7684\u6982\u7387\u5206\u5e03\u3002\u6700\u91cd\u8981\u7684\u662f\uff0c\u6bcf\u4e00\u6b65\u90fd\u662f\u53ef\u9006\u7684\u2014\u2014\u53ea\u8981\u6b65\u95f4\u8ddd\u8db3\u591f\u5c0f\uff0c\u5c31\u53ef\u4ee5\u4ece\u7b80\u5355\u5206\u5e03\u91cd\u65b0\u56de\u5230\u590d\u6742\u5206\u5e03\u3002<\/span><\/section>\n
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\u56fe3. \u56fe\u50cf\u751f\u6210\u6a21\u578b\u53d7\u5230\u6269\u6563\u6a21\u578b\u542f\u53d1\u3002| \u6765\u6e90\uff1aSamuel Velasco\/Quanta Magazine<\/span><\/p>\n

 <\/span><\/section>\n
Sohl-Dickstein \u5229\u7528\u6269\u6563\u539f\u7406\u5f00\u53d1\u4e86\u4e00\u79cd\u751f\u6210\u6a21\u578b\u7b97\u6cd5<\/strong>\u3002\u60f3\u6cd5\u5f88\u7b80\u5355\uff1a\u7b97\u6cd5\u9996\u5148\u5c06\u8bad\u7ec3\u6570\u636e\u96c6\u4e2d\u7684\u590d\u6742\u56fe\u50cf\u8f6c\u5316\u4e3a\u7b80\u5355\u566a\u58f0\u2014\u2014\u7c7b\u4f3c\u4e8e\u4ece\u4e00\u6ef4\u58a8\u6c34\u6269\u6563\u6210\u6de1\u84dd\u8272\u7684\u6c34\u2014\u2014\u7136\u540e\u6559\u7cfb\u7edf\u5982\u4f55\u9006\u8f6c\u8fd9\u4e00\u8fc7\u7a0b\uff0c\u5c06\u566a\u58f0\u8f6c\u5316\u4e3a\u56fe\u50cf\u3002<\/span><\/section>\n
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\u4e0b\u9762\u662f\u5b83\u7684\u5de5\u4f5c\u539f\u7406<\/strong>\u3002\u9996\u5148\uff0c\u7b97\u6cd5\u4ece\u8bad\u7ec3\u96c6\u4e2d\u83b7\u53d6\u56fe\u50cf\u3002\u548c\u524d\u9762\u4e00\u6837\uff0c\u5047\u8bbe\u8fd9100\u4e07\u4e2a\u50cf\u7d20\u90fd\u6620\u5c04\u5230\u6570\u57df\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u56fe\u50cf\u7ed8\u5236\u6210\u767e\u4e07\u7ef4\u7a7a\u95f4\u4e2d\u7684\u4e00\u4e2a\u70b9\u3002\u8be5\u7b97\u6cd5\u5728\u6bcf\u4e2a\u65f6\u95f4\u6b65\u5411\u6bcf\u4e2a\u50cf\u7d20\u52a0\u4e00\u4e9b\u566a\u58f0\uff0c\u76f8\u5f53\u4e8e\u58a8\u6c34\u5728\u4e00\u4e2a\u5c0f\u65f6\u95f4\u6b65\u7684\u6269\u6563\u3002\u968f\u7740\u8fd9\u4e2a\u8fc7\u7a0b\u7ee7\u7eed\uff0c\u50cf\u7d20\u503c\u4e0e\u5b83\u4eec\u5728\u539f\u59cb\u56fe\u50cf\u4e2d\u7684\u503c\u7684\u5173\u7cfb\u8d8a\u6765\u8d8a\u5f31\uff0c\u5e76\u4e14\u50cf\u7d20\u770b\u8d77\u6765\u66f4\u50cf\u662f\u7b80\u5355\u7684\u566a\u58f0\u5206\u5e03<\/span>\u3002(\u8fd9\u4e2a\u7b97\u6cd5\u8fd8\u5728\u6bcf\u4e2a\u65f6\u95f4\u6b65\u5411\u539f\u70b9\u5fae\u79fb\u6bcf\u4e2a\u50cf\u7d20\u503c\u3002\u8fd9\u79cd\u5fae\u8c03\u53ef\u9632\u6b62\u50cf\u7d20\u503c\u53d8\u5f97\u592a\u5927\u4ee5\u81f4\u8ba1\u7b97\u673a\u65e0\u6cd5\u8f7b\u677e\u5904\u7406\u3002\uff09<\/span><\/section>\n
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\u5982\u679c\u5bf9\u6570\u636e\u96c6\u4e2d\u7684\u6240\u6709\u56fe\u50cf\u90fd\u8fd9\u6837\u505a\uff0c\u90a3\u4e48\u5728\u767e\u4e07\u7ef4\u7a7a\u95f4\u4e2d\uff0c\u70b9\u7684\u521d\u59cb\u590d\u6742\u5206\u5e03<\/span>\uff08\u4e0d\u6613\u63cf\u8ff0\u548c\u91c7\u6837\uff09<\/span>\u5c31\u4f1a\u53d8\u6210\u56f4\u7ed5\u539f\u70b9\u7684\u7b80\u5355\u6b63\u6001\u5206\u5e03\u3002Sohl-Dickstein \u8bf4\uff1a\u201c\u4e00\u7cfb\u5217\u7684\u8f6c\u6362\u975e\u5e38\u7f13\u6162\u5730\u5c06\u6570\u636e\u5206\u5e03\u53d8\u6210\u4e00\u4e2a\u5927\u7684\u566a\u58f0\u7403\u3002\u8fd9\u4e2a\u2018\u524d\u5411\u8fc7\u7a0b\u2019\u521b\u9020\u7684\u5206\u5e03\u53ef\u4ee5\u8ba9\u4f60\u8f7b\u677e\u91c7\u6837\u3002\u201d<\/span><\/section>\n
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\u63a5\u4e0b\u6765\u662f\u673a\u5668\u5b66\u4e60\u90e8\u5206<\/strong>\uff1a\u5c06\u4ece\u524d\u5411\u8fc7\u7a0b\u83b7\u5f97\u7684\u566a\u58f0\u56fe\u50cf\u8f93\u5165\u795e\u7ecf\u7f51\u7edc\uff0c\u5e76\u8bad\u7ec3\u5b83\u9884\u6d4b\u4e0a\u4e00\u6b65\u83b7\u5f97\u7684\u566a\u58f0\u8f83\u5c0f\u7684\u56fe\u50cf\u3002\u4e00\u5f00\u59cb\u5b83\u4f1a\u51fa\u9519\uff0c\u6240\u4ee5\u9700\u8981\u8c03\u6574\u7f51\u7edc\u7684\u53c2\u6570\uff0c\u8fd9\u6837\u5b83\u5c31\u505a\u5f97\u66f4\u597d\u3002\u6700\u7ec8\uff0c\u795e\u7ecf\u7f51\u7edc\u53ef\u4ee5\u53ef\u9760\u5730\u5c06\u6765\u81ea\u7b80\u5355\u5206\u5e03\u6837\u672c\u7684\u566a\u58f0\u56fe\u50cf\u5b8c\u5168\u8f6c\u53d8\u4e3a\u6765\u81ea\u590d\u6742\u5206\u5e03\u6837\u672c\u7684\u56fe\u50cf\u3002<\/span><\/section>\n
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\u8bad\u7ec3\u540e\u7684\u7f51\u7edc\u662f\u4e00\u4e2a\u6210\u719f\u7684\u751f\u6210\u6a21\u578b\u3002\u73b0\u5728\uff0c\u751a\u81f3\u4e0d\u9700\u8981\u539f\u59cb\u56fe\u50cf\u6765\u6267\u884c\u524d\u5411\u8fc7\u7a0b\uff1a\u6709\u7b80\u5355\u5206\u5e03\u7684\u5b8c\u6574\u6570\u5b66\u63cf\u8ff0\uff0c\u53ef\u4ee5\u76f4\u63a5\u4ece\u4e2d\u91c7\u6837\u3002\u795e\u7ecf\u7f51\u7edc\u53ef\u4ee5\u5c06\u8fd9\u4e2a\u6837\u672c<\/span>\uff08\u57fa\u672c\u4e0a\u53ea\u662f\u9759\u6001\u7684\uff09<\/span>\u53d8\u6210\u4e0e\u8bad\u7ec3\u6570\u636e\u96c6\u4e2d\u56fe\u50cf\u76f8\u4f3c\u7684\u6700\u7ec8\u56fe\u50cf\u3002<\/span><\/section>\n
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Sohl-Dickstein \u56de\u5fc6\u8d77\u6269\u6563\u6a21\u578b\u7684\u6700\u521d\u7ed3\u679c\u65f6\u8bf4\u9053\uff1a\u201c\u5f53\u4f60\u772f\u8d77\u773c\u775b\u8bf4\u2018\u90a3\u4e2a\u5f69\u8272\u7684\u6591\u70b9\u770b\u4e0a\u53bb\u50cf\u4e00\u8f86\u5361\u8f66\u3002\u2019\u6211\u5c31\u50cf\u8fd9\u6837\uff0c\u82b1\u4e86\u5f88\u4e45\u7684\u65f6\u95f4\u76ef\u7740\u4e0d\u540c\u7684\u50cf\u7d20\u5f62\u6001\uff0c\u8bd5\u56fe\u4ece\u4e2d\u770b\u51fa\u7ed3\u6784\u3002\u5f53\u7ed3\u679c\u6bd4\u4e4b\u524d\u66f4\u7ed3\u6784\u5316\u65f6\uff0c\u6211\u5f88\u5174\u594b\u3002\u201d<\/span><\/section>\n
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Sohl-Dickstein \u57282015\u5e74\u53d1\u8868\u4e86\u4ed6\u7684\u6269\u6563\u6a21\u578b\u7b97\u6cd5\uff0c\u4f46\u6bd4\u8d77 GAN \u8fd8\u76f8\u5dee\u751a\u8fdc\u3002\u867d\u7136\u6269\u6563\u6a21\u578b\u53ef\u4ee5\u5728\u6574\u4e2a\u5206\u5e03\u4e0a\u8fdb\u884c\u91c7\u6837\uff0c\u800c\u4e14\u6c38\u8fdc\u4e0d\u4f1a\u9677\u5165\u53ea\u8f93\u51fa\u56fe\u50cf\u5b50\u96c6\u7684\u56f0\u5883\uff0c\u4f46\u56fe\u50cf\u7ed3\u679c\u770b\u8d77\u6765\u66f4\u7cdf\uff0c\u800c\u4e14\u8fc7\u7a0b\u592a\u6162\u4e86\u3002Sohl-Dickstein\u8bf4\uff1a\u201c\u5f53\u65f6\uff0c\u8fd9\u4e2a\u6a21\u578b\u5e76\u4e0d\u4ee4\u4eba\u60ca\u559c\u3002\u201d<\/span><\/section>\n
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\u6269\u6563\u6a21\u578b\u8bba\u6587\uff082015\uff09<\/section>\n
\u8bba\u6587\u9898\u76ee\uff1a<\/span>Deep Unsupervised Learning using Nonequilibrium Thermodynamics<\/span>\u8bba\u6587\u94fe\u63a5\uff1a<\/span>http:\/\/proceedings.mlr.press\/v37\/sohl-dickstein15.html <\/span><\/section>\n<\/blockquote>\n

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\u6709\u4e24\u4e2a\u5b66\u751f\uff0c\u5f53\u65f6\u4e0e Sohl-Dickstein \u90fd\u4e92\u4e0d\u76f8\u8bc6\uff0c\u4ed6\u4eec\u628a\u6700\u521d\u5de5\u4f5c\u4e2d\u7684\u70b9\u70b9\u6ef4\u6ef4\u4e0e\u50cf DALL\u00b7E2 \u8fd9\u6837\u7684\u73b0\u4ee3\u6269\u6563\u6a21\u578b\u8054\u7cfb\u8d77\u6765\u3002\u7b2c\u4e00\u4e2a\u662f\u5b8b\u98cf\uff0c\u5f53\u65f6\u5728\u65af\u5766\u798f\u5927\u5b66\u8bfb\u535a\u58eb\u30022019\u5e74\uff0c\u4ed6\u548c\u5bfc\u5e08\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u65b9\u6cd5\u6765\u6784\u5efa\u751f\u6210\u6a21\u578b\uff0c\u800c\u4e0d\u9700\u8981\u4f30\u8ba1\u6570\u636e\u7684\u6982\u7387\u5206\u5e03<\/span>\uff08\u9ad8\u7ef4\u66f2\u9762\uff09<\/span>\u3002\u76f8\u53cd\uff0c\u5b83\u4f30\u8ba1\u7684\u662f\u5206\u5e03\u7684\u68af\u5ea6<\/span>\uff08\u53ef\u4ee5\u770b\u6210\u662f\u9ad8\u7ef4\u66f2\u9762\u7684\u659c\u7387\uff09<\/span>\u3002<\/span><\/section>\n
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\u5b8b\u98cf\u53d1\u73b0\uff0c\u5982\u679c\u4ed6\u9996\u5148\u7528\u4e0d\u65ad\u589e\u52a0\u7684\u566a\u58f0\u6c34\u5e73\u6270\u52a8\u8bad\u7ec3\u6570\u636e\u96c6\u4e2d\u7684\u6bcf\u4e00\u5e45\u56fe\u50cf\uff0c\u7136\u540e\u7528\u795e\u7ecf\u7f51\u7edc\u57fa\u4e8e\u5206\u5e03\u68af\u5ea6\u9884\u6d4b\u539f\u59cb\u56fe\u50cf\uff0c\u6709\u6548\u5730\u53bb\u9664\u566a\u58f0\uff0c\u53ef\u4ee5\u8ba9\u5b83\u7684\u6280\u672f\u6548\u679c\u66f4\u597d\u3002\u4e00\u65e6\u7ecf\u8fc7\u8bad\u7ec3\uff0c\u4ed6\u7684\u795e\u7ecf\u7f51\u7edc\u5c31\u53ef\u4ee5\u4ece\u7b80\u5355\u5206\u5e03\u4e2d\u91c7\u6837\u5f97\u5230\u4e00\u4e2a\u6709\u566a\u58f0\u7684\u56fe\u50cf\u6837\u672c\uff0c\u5e76\u9010\u6b65\u5c06\u5176\u8f6c\u6362\u56de\u4ee3\u8868\u8bad\u7ec3\u6570\u636e\u96c6\u7684\u56fe\u50cf\u3002\u56fe\u50cf\u8d28\u91cf\u5f88\u597d\uff0c\u4f46\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u91c7\u6837\u901f\u5ea6\u6781\u6162\u3002\u800c\u4e14\u4ed6\u505a\u8fd9\u4ef6\u4e8b\u65f6\uff0c\u5bf9 Sohl-Dickstein \u7684\u5de5\u4f5c\u4e00\u65e0\u6240\u77e5\u3002\u5b8b\u98cf\u8bf4\uff1a\u201c\u6211\u5f53\u65f6\u6839\u672c\u4e0d\u77e5\u9053\u6269\u6563\u6a21\u578b\uff0c2019\u5e74\u6211\u4eec\u7684\u8bba\u6587\u53d1\u8868\u540e\uff0c\u6211\u6536\u5230\u4e86\u4e00\u5c01\u6765\u81ea Jascha \u7684\u90ae\u4ef6\u3002\u4ed6\u6307\u51fa\uff0c<\/span>\uff08\u6211\u4eec\u7684\u6a21\u578b\uff09<\/span>\u6709\u975e\u5e38\u5f3a\u7684\u8054\u7cfb\u3002\u201d<\/span><\/section>\n
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\u4f30\u8ba1\u6570\u636e\u5206\u5e03\u68af\u5ea6\u7684\u751f\u6210\u6a21\u578b\uff082019\uff09<\/section>\n
\u8bba\u6587\u9898\u76ee\uff1a<\/span>Generative Modeling by Estimating Gradients of the Data Distribution<\/span><\/section>\n
\u8bba\u6587\u94fe\u63a5\uff1a<\/span>https:\/\/proceedings.neurips.cc\/paper\/2019\/hash\/3001ef257407d5a371a96dcd947c7d93-Abstract.html <\/span><\/section>\n<\/blockquote>\n

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\u56fe3. \u5b8b\u98cf\u5e2e\u52a9\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u7684\u6280\u672f\uff1a\u901a\u8fc7\u8bad\u7ec3\u7f51\u7edc\u6709\u6548\u5730\u89e3\u8bfb\u6709\u566a\u56fe\u50cf\uff0c\u4ece\u800c\u751f\u6210\u56fe\u50cf\u3002<\/span><\/p>\n

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2020\u5e74\uff0c\u7b2c\u4e8c\u4e2a\u5b66\u751f\u770b\u5230\u4e86\u8fd9\u4e9b\u8054\u7cfb\uff0c\u610f\u8bc6\u5230\u5b8b\u98cf\u7684\u5de5\u4f5c\u53ef\u4ee5\u6539\u8fdb Sohl-Dickstein \u7684\u6269\u6563\u6a21\u578b\u3002Jonathan Ho \u6700\u8fd1\u521a\u521a\u5728\u52a0\u5dde\u5927\u5b66\u4f2f\u514b\u5229\u5206\u6821\u5b8c\u6210\u4e86\u4ed6\u7684\u5173\u4e8e\u751f\u6210\u6a21\u578b\u7684\u535a\u58eb\u5de5\u4f5c\uff0c\u4f46\u4ed6\u4ecd\u81f4\u529b\u4e8e\u6b64\u3002\u4ed6\u8bf4\uff1a\u201c\u6211\u8ba4\u4e3a\u8fd9\u662f\u673a\u5668\u5b66\u4e60\u4e2d\u6700\u6709\u6570\u5b66\u7f8e\u7684\u5206\u652f\u5b66\u79d1\u3002\u201d<\/span><\/section>\n
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Ho \u7ed3\u5408\u5b8b\u98cf\u7684\u4e00\u4e9b\u60f3\u6cd5\u548c\u795e\u7ecf\u7f51\u7edc\u9886\u57df\u7684\u5176\u4ed6\u8fdb\u5c55\uff0c\u91cd\u65b0\u8bbe\u8ba1\u5e76\u66f4\u65b0\u4e86 Sohl-Dickstein \u7684\u6269\u6563\u6a21\u578b\u3002\u4ed6\u8bf4\uff1a\u201c\u6211\u77e5\u9053\uff0c\u82e5\u8981\u5f15\u8d77\u5927\u5bb6\u7684\u5173\u6ce8\uff0c\u6211\u9700\u8981\u8ba9\u6a21\u578b\u751f\u6210\u597d\u770b\u7684\u6837\u672c\u3002\u6211\u786e\u4fe1\uff0c\u8fd9\u662f\u6211\u5f53\u65f6\u80fd\u505a\u7684\u6700\u91cd\u8981\u7684\u4e8b\u60c5\u3002\u201d<\/span><\/section>\n
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\u4ed6\u7684\u76f4\u89c9\u662f\u6b63\u786e\u7684\u30022020\u5e74\uff0cHo \u548c\u540c\u4e8b\u53d1\u8868\u4e86\u4e00\u7bc7\u540d\u4e3a Denoising Diffusion Probabilistic Models<\/span>\uff08\u53bb\u566a\u6269\u6563\u6982\u7387\u6a21\u578b\uff09<\/span>\u7684\u8bba\u6587\uff0c\u5ba3\u5e03\u4e86\u8fd9\u4e2a\u65b0\u6539\u8fdb\u7684\u6269\u6563\u6a21\u578b\u3002\u5b83\u5f88\u5feb\u6210\u4e3a\u4e00\u4e2a\u91cc\u7a0b\u7891\uff0c\u73b0\u5728\u88ab\u7814\u7a76\u5458\u4eec\u7b80\u79f0\u4e3a DDPM\u3002\u6839\u636e\u4e00\u4e2a\u57fa\u51c6\u7684\u56fe\u50cf\u8d28\u91cf\u2014\u2014\u6bd4\u8f83\u751f\u6210\u56fe\u50cf\u5206\u5e03\u4e0e\u8bad\u7ec3\u96c6\u4e2d\u56fe\u50cf\u5206\u5e03\u2014\u2014\u8fd9\u4e9b\u6a21\u578b\u4e0e\u5305\u62ec GAN \u5728\u5185\u7684\u6240\u6709\u7ade\u4e89\u751f\u6210\u6a21\u578b\u76f8\u6bd4\uff0c\u4e0d\u76f8\u4e0a\u4e0b\uff0c\u751a\u81f3\u66f4\u4f18\u3002\u6ca1\u8fc7\u591a\u4e45\uff0c\u5927\u4f6c\u4eec\u5c31\u6ce8\u610f\u5230\u4e86\u3002\u76ee\u524d\uff0cDALL\u00b7E 2, Stable Diffusion, Imagen \u7b49\u5546\u4e1a\u6a21\u578b\u90fd\u4f7f\u7528\u4e86 DDPM \u7684\u4e00\u4e9b\u53d8\u4f53\u3002<\/span><\/section>\n
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\u53bb\u566a\u6269\u6563\u6982\u7387\u6a21\u578b\uff082020\uff09<\/section>\n
\u8bba\u6587\u9898\u76ee\uff1a<\/span>Denoising Diffusion Probabilistic Models<\/span><\/section>\n
\u8bba\u6587\u94fe\u63a5\uff1a<\/span>https:\/\/proceedings.neurips.cc\/paper\/2020\/hash\/4c5bcfec8584af0d967f1ab10179ca4b-Abstract.html <\/span><\/section>\n<\/blockquote>\n

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\u56fe4. Jonathan Ho \u548c\u4ed6\u7684\u540c\u4e8b\u7ed3\u5408 Sohl-Dickstein \u548c\u5b8b\u98cf\u7684\u65b9\u6cd5\uff0c\u4f7f\u5f97 DALL\u00b7E 2 \u7b49\u73b0\u4ee3\u6269\u6563\u6a21\u578b\u6210\u4e3a\u53ef\u80fd\u3002<\/span><\/p>\n

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\u73b0\u4ee3\u6269\u6563\u6a21\u578b\u8fd8\u6709\u4e00\u4e2a\u5173\u952e\u6210\u5206\uff1a\u5927\u578b\u8bed\u8a00\u6a21\u578b<\/span>\uff08large language models, LLM\uff09<\/span>\uff0c\u5982 GPT-3\u3002\u8fd9\u4e9b\u751f\u6210\u6a21\u578b\u5728\u4e92\u8054\u7f51\u6587\u672c\u4e0a\u8fdb\u884c\u8bad\u7ec3\uff0c\u7528\u6765\u5b66\u4e60\u6587\u5b57\u800c\u4e0d\u662f\u56fe\u50cf\u7684\u6982\u7387\u5206\u5e03\u30022021\u5e74\uff0cHo<\/span>\uff08\u73b0\u5728\u662f\u4e00\u5bb6\u9690\u5f62\u516c\u53f8\u7684\u7814\u7a76\u79d1\u5b66\u5bb6\uff09<\/span>\u548c\u4ed6\u5728\u8c37\u6b4c\u7814\u7a76\u4e2d\u5fc3\u7684\u540c\u4e8b Tim Salimans\uff0c\u4e0e\u5176\u4ed6\u5730\u65b9\u7684\u56e2\u961f\u5408\u4f5c\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u7ed3\u5408\u5927\u578b\u8bed\u8a00\u6a21\u578b\u7684\u4fe1\u606f\u4e0e\u56fe\u50cf\u751f\u6210\u6269\u6563\u6a21\u578b\uff0c\u7528\u6587\u672c<\/span>\uff08\u6bd4\u5982\u201c\u91d1\u9c7c\u5728\u6d77\u6ee9\u4e0a\u559d\u53ef\u53e3\u53ef\u4e50\u201d\uff09<\/span>\u6307\u5bfc\u6269\u6563\u8fc7\u7a0b\uff0c\u4ece\u800c\u751f\u6210\u56fe\u50cf\u3002\u5982 DALL\u00b7E2 \u8fd9\u6837\u7684\u4ece\u6587\u672c\u5230\u56fe\u50cf\u6a21\u578b\u6210\u529f\u7684\u80cc\u540e\u539f\u56e0\uff0c\u5c31\u662f\u8fd9\u79cd\u201c\u5f15\u5bfc\u6269\u6563\u201d<\/span>\uff08guided diffusion\uff09<\/span>\u8fc7\u7a0b\u3002\u201c\u4ed6\u4eec\u8fdc\u8fdc\u8d85\u51fa\u4e86\u6211\u6700\u75af\u72c2\u7684\u671f\u671b\u3002\u6211\u4e0d\u80fd\u5047\u88c5\u6211\u9884\u89c1\u5230\u4e86\u8fd9\u4e00\u5207\u3002\u201dHo\u8bf4\u3002<\/span><\/section>\n
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\u7ed3\u5408\u5927\u578b\u8bed\u8a00\u6a21\u578b\u4e0e\u56fe\u50cf\u751f\u6210\u6269\u6563\u6a21\u578b\uff082021\uff09<\/section>\n
\u8bba\u6587\u9898\u76ee\uff1a<\/span>Variational Diffusion Models<\/span><\/section>\n
\u8bba\u6587\u94fe\u63a5\uff1a<\/span>https:\/\/proceedings.neurips.cc\/paper\/2021\/hash\/b578f2a52a0229873fefc2a4b06377fa-Abstract.html<\/section>\n<\/blockquote>\n

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\u5c3d\u7ba1\u8fd9\u4e9b\u6a21\u578b\u5df2\u7ecf\u53d6\u5f97\u4e86\u6210\u529f\uff0c\u4f46 DALL\u00b7E2 \u53ca\u5176\u540c\u7c7b\u4ea7\u54c1\u7684\u56fe\u50cf\u4ecd\u7136\u8fdc\u975e\u5b8c\u7f8e\u3002\u5927\u578b\u8bed\u8a00\u6a21\u578b\u53ef\u80fd\u5728\u751f\u6210\u6587\u672c\u4e2d\u53cd\u6620\u6587\u5316\u548c\u793e\u4f1a\u504f\u89c1\uff0c\u5982\u79cd\u65cf\u4e3b\u4e49\u548c\u6027\u522b\u6b67\u89c6\u3002\u8fd9\u662f\u56e0\u4e3a\u5b83\u4eec\u8bad\u7ec3\u7684\u6587\u672c\u662f\u4ece\u4e92\u8054\u7f51\u4e2d\u622a\u53d6\u51fa\u7684\uff0c\u8fd9\u4e9b\u6587\u672c\u5f80\u5f80\u5305\u542b\u79cd\u65cf\u4e3b\u4e49\u548c\u6027\u522b\u6b67\u89c6\u7684\u8bed\u8a00\u3002\u57fa\u4e8e\u8fd9\u79cd\u6587\u672c\u7684\u6982\u7387\u5206\u5e03\u8bad\u7ec3\u51fa\u7684\u5927\u578b\u8bed\u8a00\u6a21\u578b\u4f1a\u88ab\u540c\u6837\u7684\u504f\u89c1\u6240\u611f\u67d3\u3002\u6269\u6563\u6a21\u578b\u7684\u8bad\u7ec3\u56fe\u50cf\u4e5f\u6765\u81ea\u4e92\u8054\u7f51\u4e0a\u672a\u7ecf\u6574\u7406\u7684\u56fe\u50cf\uff0c\u8fd9\u4e9b\u56fe\u50cf\u53ef\u80fd\u5305\u542b\u7c7b\u4f3c\u7684\u6709\u504f\u89c1\u7684\u6570\u636e\u3002\u96be\u602a\u5c06\u5927\u578b\u8bed\u8a00\u6a21\u578b\u4e0e\u5f53\u4eca\u7684\u6269\u6563\u6a21\u578b\u7ed3\u5408\u8d77\u6765\uff0c\u6709\u65f6\u4f1a\u4ea7\u751f\u53cd\u6620\u793e\u4f1a\u5f0a\u75c5\u7684\u56fe\u50cf\u3002<\/span><\/section>\n
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Anandkumar \u5bf9\u6b64\u6709\u4eb2\u8eab\u4f53\u9a8c\u3002\u5f53\u5979\u8bd5\u56fe\u7528\u4e00\u4e2a\u57fa\u4e8e\u6269\u6563\u6a21\u578b\u7684\u5e94\u7528\u7a0b\u5e8f\u751f\u6210\u81ea\u8eab\u98ce\u683c\u7684\u5934\u50cf\u65f6\uff0c\u5979\u88ab\u9707\u60ca\u5230\u4e86\uff1a\u201c\u5f88\u591a\u56fe\u7247\u90fd\u662f\u9ad8\u5ea6\u6027\u611f\u7684\uff0c\u4f46\u5448\u73b0\u7ed9\u7537\u4eba\u7684\u4e1c\u897f\u5374\u4e0d\u662f\u3002\u201d\u8fd9\u5e76\u4e0d\u662f\u4e2a\u4f8b\u3002<\/span><\/section>\n
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\u901a\u8fc7\u6574\u7406\u548c\u8fc7\u6ee4\u6570\u636e<\/span>\uff08\u9274\u4e8e\u6570\u636e\u96c6\u7684\u89c4\u6a21\u5de8\u5927\uff0c\u8fd9\u9879\u4efb\u52a1\u6781\u5176\u56f0\u96be\uff09<\/span>\uff0c\u6216\u8005\u68c0\u67e5\u6a21\u578b\u7684\u8f93\u5165\u63d0\u793a\u548c\u8f93\u51fa\uff0c\u53ef\u4ee5\u51cf\u5c11\u8fd9\u4e9b\u504f\u5dee\u3002Ho \u8bf4\uff1a\u201c\u5f53\u7136\uff0c\u6ca1\u6709\u4ec0\u4e48\u80fd\u4ee3\u66ff\u7ec6\u81f4\u548c\u5e7f\u6cdb\u7684\u5b89\u5168\u6d4b\u8bd5\uff0c\u8fd9\u662f\u8be5\u9886\u57df\u9762\u4e34\u7684\u91cd\u8981\u6311\u6218\u3002\u201d<\/span><\/section>\n
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\u5c3d\u7ba1\u5982\u6b64\uff0cAnandkumar \u8fd8\u662f\u76f8\u4fe1\u751f\u6210\u6a21\u578b\u7684\u80fd\u529b\u3002\u5979\u8bf4\uff1a\u201c\u6211\u5f88\u559c\u6b22\u8d39\u66fc<\/span>\uff08Richard Feynman\uff09<\/span>\u7684\u540d\u8a00\uff1a\u2018\u6211\u65e0\u6cd5\u521b\u9020\u7684\u4e1c\u897f\uff0c\u6211\u5e76\u4e0d\u7406\u89e3\u3002\u2019\u201d\u968f\u7740\u7406\u89e3\u7684\u52a0\u6df1\uff0c\u5979\u7684\u56e2\u961f\u80fd\u591f\u5f00\u53d1\u751f\u6210\u6a21\u578b\uff0c\u751f\u4ea7\u4f8b\u5982\u7528\u4e8e\u9884\u6d4b\u4efb\u52a1\u7684\u6b20\u8868\u793a\u7c7b\u7684\u5408\u6210\u8bad\u7ec3\u6570\u636e\uff0c\u5982\u9762\u90e8\u8bc6\u522b\u65f6\u7684\u8f83\u6df1\u80a4\u8272\uff0c\u4ee5\u5e2e\u52a9\u63d0\u9ad8\u516c\u5e73\u6027\u3002\u751f\u6210\u6a21\u578b\u8fd8\u53ef\u4ee5\u8ba9\u6211\u4eec\u6df1\u5165\u4e86\u89e3\u5927\u8111\u5982\u4f55\u5904\u7406\u566a\u97f3\uff0c\u6216\u8005\u5927\u8111\u5982\u4f55\u5524\u8d77\u5fc3\u7406\u610f\u8c61\u5e76\u601d\u8003\u672a\u6765\u7684\u884c\u52a8\u3002\u5efa\u7acb\u66f4\u590d\u6742\u7684\u6a21\u578b\u53ef\u4ee5\u8d4b\u4e88\u4eba\u5de5\u667a\u80fd\u7c7b\u4f3c\u7684\u80fd\u529b\u3002<\/span><\/section>\n
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Anandkumar \u8bf4\uff1a\u201c\u6211\u4eec\u624d\u521a\u521a\u5f00\u59cb\u63a2\u7d22\u751f\u6210 AI \u7684\u5404\u79cd\u53ef\u80fd\u6027\u3002\u201d<\/span><\/section>\n
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\u539f\u6587\u94fe\u63a5\uff1a <\/span><\/span><\/section>\n
https:\/\/www.quantamagazine.org\/the-physics-principle-that-inspired-modern-ai-art-20230105\/<\/span><\/section>\n<\/section>\n<\/blockquote>\n

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Chaos & Muses\uff1a\u590d\u6742\u79d1\u5b66\u00d7\u827a\u672f\u7cfb\u5217\u7814\u8ba8\u4f1a<\/a><\/span><\/strong><\/span><\/p>\n


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