“`” \u53c2\u8003\u56de\u7b54\uff1a<\/p>\n
\u56fe\u50cf\u7684\u9891\u7387\uff1a\u7070\u5ea6\u503c\u53d8\u5316\u5267\u70c8\u7a0b\u5ea6\u7684\u6307\u6807\uff0c\u662f\u7070\u5ea6\u5728\u5e73\u9762\u7a7a\u95f4\u4e0a\u7684\u68af\u5ea6\u3002<\/p>\n
\uff081\uff09\u4ec0\u4e48\u662f\u4f4e\u9891?<\/p>\n
\u4f4e\u9891\u5c31\u662f\u989c\u8272\u7f13\u6162\u5730\u53d8\u5316,\u4e5f\u5c31\u662f\u7070\u5ea6\u7f13\u6162\u5730\u53d8\u5316,\u5c31\u4ee3\u8868\u7740\u90a3\u662f\u8fde\u7eed\u6e10\u53d8\u7684\u4e00\u5757\u533a\u57df,\u8fd9\u90e8\u5206\u5c31\u662f\u4f4e\u9891. \u5bf9\u4e8e\u4e00\u5e45\u56fe\u50cf\u6765\u8bf4\uff0c\u9664\u53bb\u9ad8\u9891\u7684\u5c31\u662f\u4f4e\u9891\u4e86\uff0c\u4e5f\u5c31\u662f\u8fb9\u7f18\u4ee5\u5185\u7684\u5185\u5bb9\u4e3a\u4f4e\u9891\uff0c\u800c\u8fb9\u7f18\u5185\u7684\u5185\u5bb9\u5c31\u662f\u56fe\u50cf\u7684\u5927\u90e8\u5206\u4fe1\u606f\uff0c\u5373\u56fe\u50cf\u7684\u5927\u81f4\u6982\u8c8c\u548c\u8f6e\u5ed3\uff0c\u662f\u56fe\u50cf\u7684\u8fd1\u4f3c\u4fe1\u606f\u3002<\/p>\n
\uff082\uff09\u4ec0\u4e48\u662f\u9ad8\u9891?<\/p>\n
\u53cd\u8fc7\u6765, \u9ad8\u9891\u5c31\u662f\u9891\u7387\u53d8\u5316\u5feb.\u56fe\u50cf\u4e2d\u4ec0\u4e48\u65f6\u5019\u7070\u5ea6\u53d8\u5316\u5feb?\u5c31\u662f\u76f8\u90bb\u533a\u57df\u4e4b\u95f4\u7070\u5ea6\u76f8\u5dee\u5f88\u5927,\u8fd9\u5c31\u662f\u53d8\u5316\u5f97\u5feb.\u56fe\u50cf\u4e2d,\u4e00\u4e2a\u5f71\u50cf\u4e0e\u80cc\u666f\u7684\u8fb9\u7f18\u90e8\u4f4d,\u901a\u5e38\u4f1a\u6709\u660e\u663e\u7684\u5dee\u522b,\u4e5f\u5c31\u662f\u8bf4\u53d8\u5316\u90a3\u6761\u8fb9\u7ebf\u90a3\u91cc,\u7070\u5ea6\u53d8\u5316\u5f88\u5feb,\u4e5f\u5373\u662f\u53d8\u5316\u9891\u7387\u9ad8\u7684\u90e8\u4f4d.\u56e0\u6b64\uff0c\u56fe\u50cf\u8fb9\u7f18\u7684\u7070\u5ea6\u503c\u53d8\u5316\u5feb\uff0c\u5c31\u5bf9\u5e94\u7740\u9891\u7387\u9ad8\uff0c\u5373\u9ad8\u9891\u663e\u793a\u56fe\u50cf\u8fb9\u7f18\u3002\u56fe\u50cf\u7684\u7ec6\u8282\u5904\u4e5f\u662f\u5c5e\u4e8e\u7070\u5ea6\u503c\u6025\u5267\u53d8\u5316\u7684\u533a\u57df\uff0c\u6b63\u662f\u56e0\u4e3a\u7070\u5ea6\u503c\u7684\u6025\u5267\u53d8\u5316\uff0c\u624d\u4f1a\u51fa\u73b0\u7ec6\u8282\u3002<\/p>\n
\u53e6\u5916\u566a\u58f0\uff08\u5373\u566a\u70b9\uff09\u4e5f\u662f\u8fd9\u6837,\u5728\u4e00\u4e2a\u50cf\u7d20\u6240\u5728\u7684\u4f4d\u7f6e,\u4e4b\u6240\u4ee5\u662f\u566a\u70b9,\u5c31\u662f\u56e0\u4e3a\u5b83\u4e0e\u6b63\u5e38\u7684\u70b9\u989c\u8272\u4e0d\u4e00\u6837\u4e86\uff0c\u4e5f\u5c31\u662f\u8bf4\u8be5\u50cf\u7d20\u70b9\u7070\u5ea6\u503c\u660e\u663e\u4e0d\u4e00\u6837\u4e86,,\u4e5f\u5c31\u662f\u7070\u5ea6\u6709\u5feb\u901f\u5730\u53d8\u5316\u4e86,\u6240\u4ee5\u662f\u9ad8\u9891\u90e8\u5206\uff0c\u56e0\u6b64\u6709\u566a\u58f0\u5728\u9ad8\u9891\u8fd9\u4e48\u4e00\u8bf4\u3002<\/p>\n
\u56fe\u50cf\u8865\u5168\u7684\u65b9\u6cd5\uff1a<\/p>\n
Region Filling and Object Removal by Exemplar-Based Image Inpainting<\/p>\n
\u7b97\u6cd5\u7684\u6d41\u7a0b\u5927\u81f4\u5982\u4e0b\uff1a<\/p>\n
1\uff09\u5bf9\u5f85\u8865\u5168\u533a\u57df\u8fb9\u754c\u7684\u50cf\u7d20\u4f9d\u6b21\u8ba1\u7b97\u8865\u5168\u7684\u4f18\u5148\u5ea6(priority)\uff0c\u8fd9\u4e2a\u4f18\u5148\u5ea6\u4e3b\u8981\u8003\u86512\u4e2a\u56e0\u7d20\u3002\u4e00\u4e2a\u662f\u5468\u56f4\u50cf\u7d20\u53ef\u4fe1\u5ea6\u9ad8\u7684\u4f4d\u7f6e\u8981\u4f18\u5148\u8865\uff0c\u53e6\u4e00\u4e2a\u662f\u4f4d\u4e8e\u56fe\u50cf\u68af\u5ea6\u53d8\u5316\u5267\u70c8\u7684\u4f4d\u7f6e\u8981\u4f18\u5148\u8865\u3002\u7efc\u5408\u4e8c\u8005\u5f97\u5230\u6240\u6709\u4f18\u5148\u5ea6\u4e4b\u540e\uff0c\u6311\u9009\u4f18\u5148\u5ea6\u6700\u9ad8\u7684\u50cf\u7d20\u6765\u8865<\/p>\n
2\uff09\u5bf9\u4e8e\u4e0a\u4e00\u6b65\u627e\u5230\u7684\u5f85\u8865\u5168\u50cf\u7d20\uff0c\u8003\u8651\u5b83\u5468\u56f4\u7684\u4e00\u4e2a\u5c0fpatch(\u6bd4\u59823*3)\u3002\u5728\u56fe\u50cf\u5df2\u77e5\u90e8\u5206\u641c\u7d22\u6240\u6709\u7684patch\uff0c\u627e\u5230\u6700\u76f8\u4f3c\u7684patch<\/p>\n
3\uff09\u7528\u627e\u5230\u7684best match\u6765\u8865\u5168\u672a\u77e5\u90e8\u5206\uff0c\u5e76\u66f4\u65b0\u76f8\u5173\u6570\u503c<\/p>\n
\u4f46\u662f\u6211\u4eec\u4e5f\u4e0d\u96be\u53d1\u73b0\u8fd9\u4e2a\u65b9\u6cd5\u5b58\u5728\u7684\u95ee\u9898\uff1a\u5982\u679c\u56fe\u50cf\u5df2\u77e5\u90e8\u5206\u627e\u4e0d\u5230\u76f8\u4f3c\u7684patch\uff0c\u90a3\u7b97\u6cd5\u5c06\u65e0\u6cd5\u8fdb\u884c\uff1b\u8fd9\u4e2a\u65b9\u6cd5\u53ea\u9002\u7528\u4e8e\u8865\u5168\u80cc\u666f\u4ee5\u4f4e\u9891\u4fe1\u606f\u548c\u91cd\u590d\u6027\u7eb9\u7406\u4e3a\u4e3b\u7684\u56fe\u50cf\uff1b\u641c\u7d22\u76f8\u4f3c\u7684patch\u8ba1\u7b97\u590d\u6742\u5ea6\u975e\u5e38\u9ad8\uff0c\u7b97\u6cd5\u8fd0\u884c\u6548\u7387\u4f4e\u3002<\/p>\n
Scene Completion Using Millions of Photographs<\/p>\n
\u7b97\u6cd5\u7684\u5927\u81f4\u6d41\u7a0b\u5982\u4e0b\uff1a<\/p>\n
1\uff09\u4eceFlickr\u4e0a\u4e0b\u8f7d\u4e24\u767e\u4e07\u56fe\u7247\u6784\u5efa\u6570\u636e\u5e93\uff0c\u4ee5\u201dlandscape\u201d\u201dcity\u201d\u201dpark\u201d\u7b49\u5173\u952e\u8bcd\u641c\u7d22\u6237\u5916\u573a\u666f\u7684\u56fe\u7247\u3002<\/p>\n
2\uff09\u5bf9\u4e8e\u4e00\u5f20\u5f85\u8865\u5168\u56fe\u50cf\uff0c\u4ece\u6570\u636e\u5e93\u4e2d\u6311\u9009200\u4e2a\u573a\u666f\u6700\u76f8\u4f3c\u7684\u56fe\u7247\uff0c\u8fd9\u91cc\u4f7f\u7528gist scene descriptor\u548c\u56fe\u50cf\u4e0b\u91c7\u6837\u52304*4\u4f5c\u4e3a\u5339\u914d\u7684\u7279\u5f81\u5411\u91cf\u3002<\/p>\n
3\uff09\u5c06\u8865\u5168\u533a\u57df\u8fb9\u754c\u591680\u4e2apixel\u7684\u533a\u57df\u4f5c\u4e3acontext\u3002\u5bf9\u4e8e\u6bcf\u4e00\u5f20\u5339\u914d\u7684\u56fe\u50cf\uff0c\u641c\u7d22\u6240\u6709\u7684\u5e73\u79fb\u7a7a\u95f4\u548c3\u4e2a\u5c3a\u5ea6\u7684scale\u7a7a\u95f4\uff0c\u6839\u636econtext\u90e8\u5206\u7684\u5339\u914d\u8bef\u5dee\uff0c\u9009\u62e9\u6700\u4f73\u7684\u8865\u5168\u4f4d\u7f6e\uff1b\u4e4b\u540e\u5229\u7528graph-cut\u7b97\u6cd5\u6c42\u89e3\u6700\u4f73\u7684\u878d\u5408\u8fb9\u754c\u3002<\/p>\n
4\uff09\u5229\u7528\u6807\u51c6\u7684\u6cca\u677e\u878d\u5408\u5904\u7406\u878d\u5408\u8fb9\u754c\u3002<\/p>\n
5\uff09\u5c06\u524d\u51e0\u6b65\u7684\u5339\u914dcost\u548cgraph-cut\u7684cost\u52a0\u8d77\u6765\uff0c\u8fd4\u56decost\u6700\u5c0f\u768420\u7684\u7ed3\u679c\u4f9b\u7528\u6237\u6311\u9009\u3002<\/p>\n
Context Encoders: Feature Learning by Inpainting<\/p>\n
\u6587\u7ae0\u63d0\u51fa\u7684\u7f51\u7edc\u7ed3\u6784\u5982\u4e0b\uff0c\u5305\u62ec3\u4e2a\u90e8\u5206\uff1aEncoder, Channel-wise fully-connected layer, Decoder\u3002Encoder\u7684\u7ed3\u6784\u76f4\u63a5\u501f\u9274\u4e86AlexNet\u524d5\u5c42\u7684\u5377\u79ef\u5c42\u7ed3\u6784\uff0c\u5177\u4f53\u7ed3\u6784\u5982\u4e0b\u3002\u8f93\u5165\u7684crop\u5c3a\u5bf8\u662f227\u00cd227\uff0c\u5377\u79ef\u4e4b\u540e\u5f97\u5230\u7684feature map\u7ed3\u6784\u662f256\u5c426 \u00cd 6\u3002\u6240\u6709\u7684weight\u90fd\u968f\u673a\u521d\u59cb\u5316\u3002<\/p>\n
Channel-wise fully-connected layer\u662f\u5bf9\u666e\u901afc\u5c42\u7684\u4e00\u79cd\u6539\u8fdb\u3002\u4e4b\u6240\u4ee5\u52a0\u5165fc\u5c42\u662f\u4e3a\u4e86\u4f7ffeature map\u6bcf\u4e00\u5c42\u7684\u4fe1\u606f\u53ef\u4ee5\u5728\u5185\u90e8\u4ea4\u6d41\u3002\u4f46\u4f20\u7edf\u7684fc\u5c42\u53c2\u6570\u592a\u591a\uff0c\u56e0\u6b64\u4f5c\u8005\u63d0\u51fa\u53ef\u4ee5\u5728fc\u4e2d\u53bb\u6389feature map\u5c42\u95f4\u7684\u4fe1\u606f\u4ea4\u6d41\uff0c\u4ece\u800c\u51cf\u5c11\u53c2\u6570\u89c4\u6a21\u3002\u5728fc\u4e4b\u540e\u4f1a\u63a5\u4e00\u4e2astride\u4e3a1\u7684\u5377\u79ef\u5c42\uff0c\u6765\u5b9e\u73b0\u5c42\u95f4\u7684\u4fe1\u606f\u4ea4\u6d41\u3002<\/p>\n
Decoder\u7684\u76ee\u7684\u662f\u5c06\u538b\u7f29\u7684feature map\u4e00\u6b65\u6b65\u653e\u5927\uff0c\u6062\u590d\u5230\u539f\u59cb\u56fe\u7247\u7684\u5c3a\u5bf8\u3002\u6587\u7ae0\u63d0\u51fa\u91c7\u75285\u4e2aup-convolutional\u5c42\uff0c\u6bcf\u5c42\u540e\u63a5\u4e00\u4e2aRELU\u3002\u4e0a\u91c7\u6837\u7684\u7ed3\u6784\u5982\u4e0b\u3002<\/p>\n
<pre><code> "“`
\n<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"
“`” \u53c2\u8003\u56de\u7b54\uff1a \u56fe\u50cf\u7684\u9891\u7387\uff1a\u7070\u5ea6\u503c\u53d8\u5316\u5267\u70c8\u7a0b\u5ea6\u7684\u6307\u6807\uff0c\u662f\u7070\u5ea6\u5728\u5e73\u9762\u7a7a\u95f4\u4e0a\u7684\u68af\u5ea6\u3002 […]<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[101],"tags":[],"class_list":["post-44234","post","type-post","status-publish","format-standard","hentry","category-c"],"_links":{"self":[{"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/posts\/44234","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/comments?post=44234"}],"version-history":[{"count":1,"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/posts\/44234\/revisions"}],"predecessor-version":[{"id":44235,"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/posts\/44234\/revisions\/44235"}],"wp:attachment":[{"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/media?parent=44234"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/categories?post=44234"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/tags?post=44234"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}