{"id":39040,"date":"2018-12-03T00:00:18","date_gmt":"2018-12-02T16:00:18","guid":{"rendered":"https:\/\/case.ntu.edu.tw\/blog\/?p=39040"},"modified":"2022-01-04T17:29:31","modified_gmt":"2022-01-04T09:29:31","slug":"%e4%b8%8d%e6%9c%83%e8%b7%b3%e8%88%9e%e5%97%8e%ef%bc%9fai%e8%ae%93%e4%bd%a0%e5%8b%95%e8%b5%b7%e4%be%86","status":"publish","type":"post","link":"https:\/\/case.ntu.edu.tw\/blog\/?p=39040","title":{"rendered":"\u4e0d\u6703\u8df3\u821e\u55ce\uff1fAI\u8b93\u4f60\u52d5\u8d77\u4f86"},"content":{"rendered":"
\n
\"\u4e0d\u6703\u8df3\u821e\u55ce\uff1fAI\u8b93\u4f60\u52d5\u8d77\u4f86\"<\/div>\n<\/div>\n
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\u7de8\u8b6f\uff0f\u53f0\u5927\u751f\u91ab\u96fb\u8cc7\u6240 \u845b\u7ad1\u5fd7<\/strong><\/p>\n

\u5efa\u69cb\u9aa8\u67b6\u6a21\u578b<\/strong><\/p>\n

\u9996\u5148\uff0c\u70ba\u4e86\u53d6\u5f97\u300c\u9ad4\u614b\u300d\u8207\u300c\u9aa8\u67b6\u300d\u7b49\u8cc7\u6599\uff0c\u7814\u7a76\u5718\u968a\u8981\u6c42\u53d7\u8a66\u8005\u5011\u7a7f\u4e0a\u8cbc\u8eab\u8863\u7269\uff0c\u4f9d\u7167\u6307\u4ee4\u6216\u96a8\u610f\u52d5\u4f5c\uff0c\u62cd\u651d\u9577\u905420\u5206\u9418\u7684\u5f71\u7247\uff0c\u900f\u904e\u5e38\u898b\u7684\u59ff\u52e2\u5075\u6e2c\uff08pose detection\uff09\u6a21\u7d44\uff0c\u5c07\u4eba\u7684\u56db\u80a2\u3001\u8ec0\u5e79\u3001\u624b\u6307\u53ca\u81c9\u90e8\u8868\u60c5\u5728\u5e73\u9762\u4e0a\u6a19\u4e0a\u5ea7\u6a19\uff0c\u4e00\u500b\u770b\u4f3c\u706b\u67f4\u4eba\u7684\u9aa8\u67b6\u4fbf\u5408\u6210\u4e86\u3002<\/p>\n

\u8b1b\u5230\u9019\u88e1\uff0c\u8b80\u8005\u6216\u8a31\u5df2\u7d93\u6ce8\u610f\u5230\uff0c\u6240\u8b02\u7684\u300c\u9aa8\u67b6\u300d\u5176\u5be6\u5c31\u662f\u4e00\u7a2e\u81ea\u7de8\u78bc\u6a21\u578b\uff08auto-encoder\uff09\u5728\u6f5b\u5728\u7a7a\u9593\uff08latent space\uff09\u7684\u8868\u793a\uff1a\u6240\u8f38\u5165\u7684\u5f71\u50cf\u900f\u904e\u7de8\u78bc\u5668\u6295\u5f71\u5230\u4e00\u500b\u4f4e\u7dad\u5ea6\u7a7a\u9593\uff0c\u518d\u7531\u89e3\u78bc\u5668\u5c07\u9019\u7a2e\u4f4e\u7dad\u5411\u91cf\u91cd\u5efa\u56de\u539f\u5148\u5f71\u50cf\u3002\u82e5\u81ea\u7de8\u78bc\u6a21\u578b\u8a13\u7df4\u5f97\u597d\uff0c\u90a3\u9ebc\u53ea\u8981\u53d6\u5f97\u89e3\u78bc\u5668\uff0c\u6211\u5011\u4fbf\u53ef\u7531\u8f03\u5c11\u7684\u8cc7\u8a0a\uff08\u9aa8\u67b6\uff09\uff0c\u91cd\u5efa\u51fa\u5f71\u50cf\uff08\u9ad4\u614b\uff09\u9019\u7a2e\u9ad8\u7dad\u5ea6\u7684\u8cc7\u8a0a\u4e86\u3002<\/p>\n

\u6240\u4ee5\uff0c\u53ea\u8981\u900f\u904e\u4e00\u500b\u300c\u56fa\u5b9a\u300d\u7684\u59ff\u52e2\u5075\u6e2c\u6a21\u7d44\uff0c\u628a\u4eba\u7684\u52d5\u4f5c\u6216\u821e\u6b65\u7c21\u5316\u70ba\u4e00\u5e40\u4e00\u5e40\u5f71\u683c\u4e2d\u7684\u706b\u67f4\u4eba\u6a21\u578b\uff0c\u90a3\u9ebc\u6211\u5011\u4fbf\u53ef\u4ee5\u300c\u9aa8\u67b6\u300d\u70ba\u8f49\u63db\u4f9d\u64da\uff0c\u5c07\u821e\u8e48\u793a\u7bc4\u5f71\u7247\u4e2d\u7684\u4eba\u7269\u7f6e\u63db\u70ba\u4efb\u4f55\u4eba\u3002<\/p>\n

\"\"<\/p>\n

\u5716\u4e00\u3001\u8f38\u5165\u5f71\u50cf\u8207\u59ff\u52e2\u5075\u6e2c\u7d50\u679c\uff08\u4f86\u6e90\uff1aC. Chan et al, 2018.\uff09<\/p>\n<\/div>\n

\u751f\u6210\u5f0f\u5c0d\u6297\u7db2\u8def\u7684\u5f71\u50cf\u91cd\u5efa\u6280\u8853<\/strong><\/p>\n

\u539f\u7406\u770b\u4f3c\u7c21\u55ae\uff0c\u4f46\u4ecd\u8981\u5206\u6210\u5169\u500b\u90e8\u4efd\u4f86\u8003\u91cf\u3002\u9996\u5148\uff0c\u91cd\u5efa\u7684\u54c1\u8cea\u662f\u5426\u8db3\u5920\uff1f\u5176\u6b21\uff0c\u5247\u662f\u300c\u9aa8\u67b6\u300d\u80fd\u5426\u6210\u529f\u5c0d\u61c9\u5230\u6b63\u78ba\u7684\u300c\u80a2\u9ad4\u52d5\u4f5c\u300d\u3002\u524d\u8005\u5728\u7406\u8ad6\u4e0a\u96e3\u5ea6\u4e0d\u9ad8\uff0c\u56e0\u70ba\u53ea\u8981\u64c1\u6709\u8db3\u5920\u7684\u9aa8\u67b6-\u9ad4\u614b\u914d\u5c0d\u8cc7\u6599\uff0c\u4e00\u822c\u800c\u8a00\uff0c\u4fbf\u53ef\u8f15\u6613\u85c9\u7531\u5377\u7a4d\u795e\u7d93\u7db2\u8def\uff08convolutional neural network \uff0cCNN\uff09\u91cd\u5efa\u5f71\u50cf\u3002\u76f8\u8f03\u4e4b\u4e0b\uff0c\u5f8c\u8005\u5247\u9700\u8981\u7528\u5230\u8f03\u70ba\u8907\u96dc\u7684\u300c\u751f\u6210\u5f0f\u5c0d\u6297\u7db2\u8def\u300d\uff08generative adversarial network \uff0cGAN\uff09\u3002<\/p>\n

\u8fd1\u5e74\u5728\u5404\u5927AI\u7814\u8a0e\u6703\u4e0a\uff0cGAN\u7684\u8a0e\u8ad6\u5ea6\u59cb\u7d42\u5c45\u9ad8\u4e0d\u4e0b\u3002\u5176\u5229\u7528\u5169\u500b\u6a21\u578b\u2500\u751f\u6210\u7db2\u8def\uff08Generator\uff0cG\uff09\u8207\u8fa8\u5225\u7db2\u8def\uff08Discriminator\uff0cD\uff09\u2500\u4e92\u76f8\u5207\u78cb\u5b78\u7fd2\uff0c\u5728\u5f71\u50cf\u91cd\u5efa\u6216\u4e09\u7dad\u5efa\u6a21\u4e0a\uff0c\u90fd\u7372\u5f97\u4e0d\u932f\u7684\u6210\u679c\u3002\u8209\u4f8b\u4f86\u8aaa\uff0c\u5047\u8a2d\u4eca\u5929\u60f3\u8981\u5229\u7528G\u7db2\u8def\u7522\u751f\u4e00\u500b\u52d5\u6f2b\u4eba\u7269\u5716\u50cf[2]\u3002\u5247\u9700\u6e96\u5099\u4e00\u5f35\u771f\u6b63\u7684\u52d5\u6f2b\u5716\u7247\uff0c\u4ee5\u53ca\u900f\u904eG\u7db2\u8def\u751f\u6210\u7684\u5716\u7247\uff0c\u5169\u8005\u4e00\u540c\u9001\u5230D\u7db2\u8def\u4f5c\u5224\u5225\u3002\u56e0\u70baG\u7db2\u8def\u4e00\u958b\u59cb\u5c0d\u52d5\u6f2b\u5716\u7247\u4e00\u7121\u6240\u77e5\uff0cD\u7db2\u8def\u6216\u53ef\u8f15\u6613\u5224\u5b9aG\u7db2\u8def\u6240\u751f\u6210\u7684\u5716\u7247\u70ba\u507d\uff0c\u4e26\u9000\u56deG\u7db2\u8def\u8981\u6c42\u751f\u6210\u66f4\u8cbc\u8fd1\u5be6\u969b\u52d5\u6f2b\u5f71\u50cf\u7684\u5716\u7247\u3002\u5982\u6b64\u591a\u6b21\u53cd\u8986\u8a13\u7df4\u4e0b\uff0c\u96a8D\u7db2\u8def\u7684\u9451\u5225\u529b\u8d8a\u5f37\uff0cG\u7db2\u8def\u751f\u6210\u7684\u80fd\u529b\u4e5f\u6703\u66f4\u53b2\u5bb3\uff0c\u6700\u7d42\u6211\u5011\u5c31\u80fd\u5229\u7528G\u7db2\u8def\u7522\u751f\u5716\u7247\u4e86\u3002<\/p>\n

\u67cf\u514b\u840a\u5718\u968a\u5c07\u524d\u8ff0\u7684CNN\u5b9a\u7fa9\u70baG\u7db2\u8def\uff0c\u5c08\u8cac\u5f9e\u9aa8\u67b6\u8cc7\u8a0a\u751f\u6210\u6e2c\u8a66\u8005\u7684\u5f71\u50cf\u3002\u4e4b\u5f8c\u518d\u5c07\u300c\u9aa8\u67b6-\u771f\u5be6\u5f71\u50cf\u300d\u3001\u300c\u9aa8\u67b6-\u91cd\u5efa\u5f71\u50cf\u300d\u5169\u7a2e\u914d\u5c0d\u9001\u5230\u5f8c\u7e8c\u7684D\u7db2\u8def\u4f5c\u9451\u5225\u3002\u53cd\u8986\u70ba\u4e4b\uff0cG\u7db2\u8def\u4e0d\u50c5\u80fd\u7522\u751f\u826f\u597d\u7684\u5f71\u50cf\u54c1\u8cea\uff0c\u4e14\u80fd\u5c07\u9aa8\u67b6\u5c0d\u61c9\u5230\u6b63\u78ba\u7684\u52d5\u4f5c\u3002\u6700\u5f8c\uff0c\u53ea\u8981\u5c07\u793a\u7bc4\u5f71\u7247\u6bcf\u4e00\u5e40\u5f71\u683c\u900f\u904e\u540c\u4e00\u500b\u59ff\u52e2\u5075\u6e2c\u6a21\u7d44\u7522\u751f\u9aa8\u67b6\uff0c\u4e4b\u5f8c\u9001\u5230\u62bd\u53d6\u51fa\u4f86\u7684G\u7db2\u8def\u751f\u6210\u53d7\u8a66\u8005\u6a23\u8c8c\uff0c\u5982\u6b64\u4e00\u4f86\uff0c\u4e00\u4f4d\u821e\u8005\u5c31\u6b64\u8a95\u751f\u4e86\u3002<\/p>\n

\"\"<\/p>\n

\u5716\u4e8c\u3001\u8a13\u7df4\u6d41\u7a0b\u4ee5\u53ca\u751f\u6210\u6d41\u7a0b\uff08\u4f86\u6e90\uff1aC. Chan et al, 2018.\uff09<\/p>\n<\/div>\n

\u5f71\u50cf\u512a\u5316<\/strong><\/p>\n

\u7136\u800c\uff0c\u5982\u540c\u8a31\u591aGAN\u5e38\u9047\u5230\u7684\u56f0\u5883\uff0c\u4ee5\u5982\u6b64\u4f4e\u7dad\u5ea6\u7684\u8cc7\u8a0a\u91cd\u5efa\u5f71\u50cf\u6642\uff0c\u9084\u662f\u9047\u5230\u4e86\u89e3\u6790\u5ea6\u4e0d\u5920\u7684\u554f\u984c\u3002\u6240\u5e78\u5718\u968a\u8f14\u4ee5\u9810\u8a13\u7df4\u7684VGG\u7db2\u8def\u9032\u884c\u611f\u77e5\u640d\u5931\uff08perceptual loss\uff09\u7684\u5b9a\u91cf[3]\uff0c\u76f8\u5c0d\u65bc\u50b3\u7d71\u65b9\u6cd5\uff0c\u6240\u5b9a\u7fa9\u7684\u640d\u5931\u51fd\u6578\u66f4\u80fd\u7e2e\u5c0f\u91cd\u5efa\u5f71\u50cf\u548c\u771f\u5be6\u5f71\u50cf\u9593\u7684\u611f\u77e5\u843d\u5dee\u3002\u8207\u6b64\u540c\u6642\uff0c\u4ed6\u5011\u4e5f\u7528\u5230\u4e86\u9019\u5e7e\u5e74NVIDIA\u8207\u67cf\u514b\u840a\u5408\u4f5c\u958b\u767c\u7684\u300cpix2pixHD\u67b6\u69cb\u300d[4]\uff0c\u4ee5\u591a\u5c3a\u5ea6D\u7db2\u8def\u70baG\u7db2\u8def\u751f\u6210\u7684\u5f71\u50cf\u4f5c\u8a55\u65b7\uff0c\u5927\u5e45\u63d0\u5347\u5728\u7d30\u5fae\u7279\u5fb5\uff0c\u4ee5\u81f3\u5ee3\u57df\u7279\u5fb5\u4e0a\u7684\u5f71\u50cf\u89e3\u6790\u5ea6\u3002<\/p>\n

\u6b64\u5916\uff0c\u56e0\u793a\u7bc4\u5f71\u7247\u7684\u9aa8\u67b6\u662f\u9010\u5e40\u6295\u5f71\u7684\uff0c\u4e14\u59ff\u52e2\u8fa8\u8b58\u6a21\u7d44\u6709\u5176\u9650\u5236\u53ca\u4e0d\u7a69\u5b9a\u6027\uff0c\u5c0e\u81f4\u4e0a\u4e0b\u5e40\u9593\u7684\u52d5\u4f5c\u5e38\u6709\u56b4\u91cd\u7684\u6296\u52d5\u60c5\u5f62\uff0c\u4f7f\u5f97\u91cd\u5efa\u51fa\u7684\u5f71\u7247\u770b\u8d77\u4f86\u5341\u5206\u4e0d\u81ea\u7136\u3002\u6240\u4ee5\u5728\u8a2d\u8a08G\u7db2\u8def\u548cD\u7db2\u8def\u6642\uff0c\u5718\u968a\u4e5f\u52d5\u7528\u4e86\u4e00\u4e9b\u5de7\u601d\uff1a\u8981\u6c42\u6a5f\u5668\u5728\u751f\u6210\u4e0b\u4e00\u5f35\u5e40\u5f71\u50cf\u4eba\u7269\u9aa8\u67b6\u6642\uff0c\u5fc5\u9808\u8003\u91cf\u524d\u4e00\u5e40\u5f71\u683c\u7684\u8cc7\u8a0a\u3002\u5982\u6b64\u4e00\u4f86\uff0c\u6240\u4f7f\u7528\u7684\u8cc7\u8a0a\u5c31\u4e0d\u50c5\u662f\u9aa8\u67b6\uff0c\u66f4\u5305\u542b\u4e86\u524d\u4e00\u5e40\u5f71\u50cf\u7684\u8cc7\u8a0a\uff0c\u7576\u5716\u7247\u4e32\u6210\u5f71\u7247\u6642\uff0c\u52d5\u4f5c\u66f4\u70ba\u9023\u8cab\u3002<\/p>\n

\u4f34\u96a8\u7684\u9053\u5fb7\u7591\u616e<\/strong><\/p>\n

\u597d\u840a\u5862\u96fb\u5f71\u4e2d\u9577\u76f8\u5947\u7279\u7684\u5916\u661f\u751f\u7269\u6216\u602a\u7269\uff0c\u901a\u5e38\u7531\u6f14\u54e1\u7a7f\u4e0a\u5d4c\u6709\u5b9a\u4f4d\u88dd\u7f6e\u7684\u670d\u88dd\uff0c\u518d\u7d93\u904e\u91cd\u91cdCG\u7279\u6548\u82073D\u5efa\u6a21\u5f8c\uff0c\u624d\u8b8a\u6210\u6211\u5011\u6240\u770b\u5230\u7684\u6a23\u5b50\uff0c\u9019\u6a23\u7684\u624b\u6cd5\u5f80\u5f80\u6240\u8cbb\u4e0d\u8cb2\u3002\u9019\u9805\u7814\u7a76\u537b\u80fd\u900f\u904e\u666e\u901a\u76842D\u5f71\u7247\u5c31\u80fd\u5b8c\u6210\u52d5\u4f5c\u7684\u8f49\u79fb\uff0c\u800c\u4e14\u91cd\u5efa\u7684\u5f71\u50cf\u5341\u5206\u5730\u6d41\u66a2\u4e14\u81ea\u7136\u3002\u751a\u81f3\u662f\u7a97\u6236\u4e0a\u7684\u5012\u5f71\u4e5f\u53ef\u9867\u53ca\uff0c\u5176\u6548\u679c\u76f8\u7576\u5438\u5f15\u4eba\u3002<\/p>\n

\u96a8\u8457GAN\u7814\u7a76\u7684\u9032\u6b65\uff0cAI\u6240\u7522\u751f\u5716\u7247\u6216\u5f71\u7247\u7684\u89e3\u6790\u5ea6\u4e5f\u8d8a\u4f86\u8d8a\u9ad8\uff0c\u4e14\u66f4\u8cbc\u8fd1\u73fe\u5be6\uff0c\u4f46\u4e5f\u5f15\u8d77\u4e86\u9019\u7a2e\u6280\u8853\u53ef\u80fd\u88ab\u6feb\u7528\u7684\u7591\u616e\u3002\u5982\u540c\u8fd1\u5169\u5e74\u4f86\u5192\u51fa\u7684\u65b0\u8208\u540d\u8a5e\u2500Deepfake\uff0c\u4fbf\u662f\u6307\u5229\u7528AI\u5f71\u50cf\u5408\u6210\u6280\u8853\u507d\u9020\u540d\u4eba\u5f71\u7247\uff0c\u4f86\u88fd\u9020\u5047\u65b0\u805e\u6216\u91dd\u5c0d\u500b\u4eba\u7684\u8f3f\u8ad6\u653b\u64ca\u3002<\/p>\n

\"\"<\/p>\n

\u5716\u4e09\u3001Face2Face\u8ad6\u6587\u7d50\u679c\uff0c\u4f7f\u7528\u8005\u53ef\u4ee5\u8b93\u7279\u5b9a\u4eba\u7269\u505a\u51fa\u4efb\u610f\u8868\u60c5\uff08\u4f86\u6e90\uff1aJ. Thies et al, 2016.\uff09<\/p>\n<\/div>\n

 <\/p>\n

\u7de8\u8b6f\u4f86\u6e90<\/strong><\/p>\n

Jon Fingas.\u00a0\u201cAI-altered video makes it look like you can dance.\u201d<\/a>\u00a0Engadget. 2018.<\/p>\n

\u53c3\u8003\u8cc7\u6599<\/strong><\/p>\n

    \n
  1. C. Chan, S. Ginosar, T. Zhou & A.A. Efros.\u00a0\u201cEverybody Dance Now.\u201d<\/a>\u00a0arXiv.org, 2018.<\/li>\n
  2. TD.\u00a0\u201cMangaGAN.\u201d<\/a>\u00a0Towards Data Science<\/em>, December 10, 2017.<\/li>\n
  3. J. Jonhson, A. Alahi & F.F. Li.\u00a0\u201cPerceptual Losses for Real-Time Style Transfer and Super-Resolution.\u201d<\/a>\u00a0 arXiv.org, 2018.<\/li>\n
  4. T.C. Wang, M.Y. Liu, J.Y. Zhu, A. Tao, J. Kautz & B. Catanzaro.\u201cHigh-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs.\u201d<\/a>\u00a0arXiv.org,\u00a02017.<\/li>\n
  5. J. Thies, M. Zollh\u00f6fer, M. Stamminger, C. Theobalt & M. Nie\u00dfner.\u00a0\u201cFace2Face: Real-time Face Capture and Reenactment of RGB Videos.\u201d<\/a>\u00a02016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)<\/em>, 2016.<\/li>\n<\/ol>\n

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