{"id":6373,"date":"2026-07-31T21:00:13","date_gmt":"2026-07-31T13:00:13","guid":{"rendered":"https:\/\/1ow.top\/index.php\/2026\/07\/31\/siggraph%e6%97%b6%e9%97%b4%e6%a3%80%e9%aa%8c%e5%a5%96%e6%8f%ad%e6%99%93%ef%bc%9a%e8%bf%99%e9%a1%b9%e7%a0%94%e7%a9%b6%ef%bc%8c%e6%8f%90%e5%89%8d%e5%8d%81%e5%b9%b4%e6%8a%bc%e4%b8%ad%e4%ba%86%e7%89%a9\/"},"modified":"2026-07-31T21:00:13","modified_gmt":"2026-07-31T13:00:13","slug":"siggraph%e6%97%b6%e9%97%b4%e6%a3%80%e9%aa%8c%e5%a5%96%e6%8f%ad%e6%99%93%ef%bc%9a%e8%bf%99%e9%a1%b9%e7%a0%94%e7%a9%b6%ef%bc%8c%e6%8f%90%e5%89%8d%e5%8d%81%e5%b9%b4%e6%8a%bc%e4%b8%ad%e4%ba%86%e7%89%a9","status":"publish","type":"post","link":"https:\/\/1ow.top\/index.php\/2026\/07\/31\/siggraph%e6%97%b6%e9%97%b4%e6%a3%80%e9%aa%8c%e5%a5%96%e6%8f%ad%e6%99%93%ef%bc%9a%e8%bf%99%e9%a1%b9%e7%a0%94%e7%a9%b6%ef%bc%8c%e6%8f%90%e5%89%8d%e5%8d%81%e5%b9%b4%e6%8a%bc%e4%b8%ad%e4%ba%86%e7%89%a9\/","title":{"rendered":"SIGGRAPH\u65f6\u95f4\u68c0\u9a8c\u5956\u63ed\u6653\uff1a\u8fd9\u9879\u7814\u7a76\uff0c\u63d0\u524d\u5341\u5e74\u62bc\u4e2d\u4e86\u7269\u7406AI"},"content":{"rendered":"
\"SIGGRAPH\u65f6\u95f4\u68c0\u9a8c\u5956\u63ed\u6653\uff1a\u8fd9\u9879\u7814\u7a76\uff0c\u63d0\u524d\u5341\u5e74\u62bc\u4e2d\u4e86\u7269\u7406AI\"\/<\/div><\/figure>\n
\"SIGGRAPH\u65f6\u95f4\u68c0\u9a8c\u5956\u63ed\u6653\uff1a\u8fd9\u9879\u7814\u7a76\uff0c\u63d0\u524d\u5341\u5e74\u62bc\u4e2d\u4e86\u7269\u7406AI\"\/<\/div><\/figure>\n
\"SIGGRAPH\u65f6\u95f4\u68c0\u9a8c\u5956\u63ed\u6653\uff1a\u8fd9\u9879\u7814\u7a76\uff0c\u63d0\u524d\u5341\u5e74\u62bc\u4e2d\u4e86\u7269\u7406AI\"\/<\/div><\/figure>\n
\"SIGGRAPH\u65f6\u95f4\u68c0\u9a8c\u5956\u63ed\u6653\uff1a\u8fd9\u9879\u7814\u7a76\uff0c\u63d0\u524d\u5341\u5e74\u62bc\u4e2d\u4e86\u7269\u7406AI\"\/<\/div><\/figure>\n

\u5141\u4e2d \u53d1\u81ea \u51f9\u975e\u5bfa<\/p>\n

2026\u5e747\u6708\u53ec\u5f00\u7684\u8ba1\u7b97\u673a\u56fe\u5f62\u5b66\u9876\u4f1aSIGGRAPH\uff0c\u516c\u5e03\u4e86\u65f6\u95f4\u68c0\u9a8c\u5956\uff08Test-of-Time Award\uff09\u3002<\/p>\n

\u8fd9\u4e2a\u5956\u9879\u4e13\u95e8\u8868\u5f70\u5341\u5e74\u524d\u53d1\u8868\u3001\u81f3\u4eca\u4ecd\u5bf9\u4e1a\u754c\u4ea7\u751f\u6301\u7eed\u5f71\u54cd\u7684\u8bba\u6587\u3002<\/p>\n

\u800c\u4eca\u5e74\uff0c\u9999\u6e2f\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u7cfb\u6559\u6388Taku Komura\u4e0e\u56e2\u961f\u6210\u5458\u57282016\u5e74\u53d1\u8868\u7684\u300aA Deep Learning Framework for Character Motion Synthesis and Editing\u300b\u83b7\u6b64\u6b8a\u8363\u3002<\/p>\n

\u8fd9\u9879\u5de5\u4f5c\u9996\u6b21\u4f7f\u7528\u6df1\u5ea6\u5b66\u4e60\u4ece\u5927\u89c4\u6a21\u4eba\u7c7b\u52a8\u4f5c\u6570\u636e\u4e2d\u81ea\u52a8\u5b66\u4e60\u4eba\u7c7b\u8fd0\u52a8\u7684\u5185\u5728\u7ed3\u6784\uff0c\u518d\u6839\u636e\u9ad8\u5c42\u6307\u4ee4\u751f\u6210\u81ea\u7136\u7684\u4eba\u5f62\u89d2\u8272\u52a8\u4f5c\u3002<\/p>\n

\u5f7c\u65f6\uff0cAI\u7684\u7a81\u7834\u8fd8\u4e3b\u8981\u96c6\u4e2d\u5728\u56fe\u50cf\u9886\u57df\uff0c\u8fd9\u9879\u5de5\u4f5c\u5df2\u7ecf\u7cfb\u7edf\u5730\u628a\u8868\u793a\u5b66\u4e60\u7528\u4e8e\u590d\u67423D\u52a8\u4f5c\u7684\u751f\u6210\uff0c\u8ba9AI\u4ece\u5b66\u4f1a\u5982\u4f55\u770b\u5230\u5b66\u4f1a\u5982\u4f55\u52a8\u3002<\/p>\n

\u5341\u5e74\u4e4b\u540e\uff0c\u8fd9\u9879\u5de5\u4f5c\u7684\u610f\u4e49\u5df2\u7ecf\u8d85\u51fa\u89d2\u8272\u52a8\u4f5c\u751f\u6210\u672c\u8eab\uff1a\u673a\u5668\u5982\u4f55\u4ece\u4eba\u7684\u8fd0\u52a8\u4e0e\u4ea4\u4e92\u4e2d\u5b66\u4e60\uff0c\u7406\u89e3\u7269\u7406\u4e16\u754c\u5e76\u5728\u5176\u4e2d\u884c\u52a8\uff0c\u6b63\u6210\u4e3a\u7269\u7406AI\u9762\u5bf9\u7684\u6838\u5fc3\u95ee\u9898\u3002<\/p>\n

\u56f4\u7ed5\u8fd9\u4e2a\u95ee\u9898\uff0cTaku Komura\u5df2\u7ecf\u7814\u7a76\u4e86\u4e8c\u5341\u4f59\u5e74\u3002<\/p>\n

\u4ed6\u66fe\u5728\u7231\u4e01\u5821\u5927\u5b66\u4efb\u6559\u591a\u5e74\uff0c\u957f\u671f\u7814\u7a76\u52a8\u4f5c\u751f\u6210\u3001\u7269\u7406\u6a21\u62df\u548c\u4ea4\u4e92\u6280\u672f\u3002<\/p>\n

2020\u5e74\uff0c\u4ed6\u52a0\u5165\u9999\u6e2f\u5927\u5b66\uff0c\u73b0\u4efb\u8ba1\u7b97\u673a\u79d1\u5b66\u7cfb\u6559\u6388\u3002\u4ed6\u66fe\u4efbSIGGRAPH Asia 2025\u5927\u4f1a\u4e3b\u5e2d\uff0c\u5e76\u88abAI 2000\u8bc4\u4e3a\u8be5\u9886\u57df\u6700\u5177\u5f71\u54cd\u529b\u5b66\u8005\u5168\u7403\u524d15\u3002<\/p>\n

\u5177\u4f53\u800c\u8a00\uff0c\u4ed6\u5e0c\u671b\u8ba9\u673a\u5668\u4ece\u6570\u636e\u4e2d\u5b66\u4e60\u4eba\u7c7b\u8fd0\u52a8\u7684\u7ed3\u6784\uff0c\u5e76\u8fdb\u4e00\u6b65\u7406\u89e3\u52a8\u4f5c\u5982\u4f55\u968f\u573a\u666f\u3001\u7269\u4f53\u548c\u4efb\u52a1\u800c\u53d8\u5316\u3002<\/p>\n

2016 \u5e74\uff0cTaku\u5728SIGGRAPH\u53d1\u8868\u7684\u83b7\u5956\u8bba\u6587\uff0c\u5c06\u6df1\u5ea6\u5b66\u4e60\u7cfb\u7edf\u6027\u5730\u7528\u4e8e\u89d2\u8272\u8fd0\u52a8\u5408\u6210\u4e0e\u7f16\u8f91\u3002<\/p>\n

\u7814\u7a76\u56e2\u961f\u7528\u5377\u79ef\u81ea\u7f16\u7801\u5668\u4ece\u5927\u89c4\u6a21\u52a8\u4f5c\u6355\u6349\u6570\u636e\u4e2d\u5b66\u4e60\u4e00\u4e2a\u4f4e\u7ef4\u7684\u8fd0\u52a8\u7a7a\u95f4\uff0c\u518d\u5c06\u884c\u8d70\u8def\u5f84\u7b49\u9ad8\u5c42\u63a7\u5236\u6761\u4ef6\u6620\u5c04\u5230\u8fd9\u4e2a\u7a7a\u95f4\u3002<\/p>\n

\u6a21\u578b\u7531\u6b64\u53ef\u4ee5\u751f\u6210\u548c\u7f16\u8f91\u52a8\u4f5c\uff0c\u540c\u65f6\u5c3d\u91cf\u4fdd\u7559\u4eba\u7c7b\u8fd0\u52a8\u7684\u81ea\u7136\u6027\u3002<\/p>\n

\u8fd9\u9879\u5de5\u4f5c\u7684\u5173\u952e\u4e0d\u5728\u4e8e\u9010\u5e27\u8bb0\u4f4f\u8bad\u7ec3\u52a8\u4f5c\uff0c\u800c\u5728\u4e8e\u5b66\u4e60\u53ef\u590d\u7528\u7684\u8fd0\u52a8\u8868\u793a\u3002<\/p>\n

\u7528\u4eca\u5929\u66f4\u719f\u6089\u7684\u8bf4\u6cd5\uff0c\u5b83\u5b66\u4e60\u7684\u662f\u4e00\u79cdHuman Motion Prior\uff1a\u54ea\u4e9b\u59ff\u6001\u4e0e\u65f6\u95f4\u53d8\u5316\u901a\u5e38\u5c5e\u4e8e\u81ea\u7136\u7684\u4eba\u4f53\u8fd0\u52a8\uff0c\u4ee5\u53ca\u600e\u6837\u5728\u6ee1\u8db3\u76ee\u6807\u7ea6\u675f\u65f6\u4ecd\u7559\u5728\u8fd9\u4e2a\u8fd0\u52a8\u7a7a\u95f4\u5185\u3002<\/p>\n

\u8bba\u6587\u7684\u5f15\u7528\u91cf\u81f3\u4eca\u6301\u7eed\u589e\u957f\uff0c\u4e5f\u6210\u4e3a\u540e\u6765\u6570\u636e\u9a71\u52a8\u52a8\u4f5c\u751f\u6210\u7814\u7a76\u7684\u4e00\u9879\u57fa\u7840\u5de5\u4f5c\u3002<\/p>\n

\u6b64\u540e\uff0cTaku\u4e0e\u5b9e\u9a8c\u5ba4\u6210\u5458\u7ee7\u7eed\u628a\u52a8\u4f5c\u653e\u5165\u66f4\u590d\u6742\u7684\u573a\u666f\u3002<\/p>\n

2019\u5e74\u7684Neural State Machine\u8ba9\u6570\u5b57\u89d2\u8272\u6839\u636e\u573a\u666f\u51e0\u4f55\u5b8c\u6210\u5750\u4e0b\u3001\u642c\u8fd0\u3001\u5f00\u95e8\u4e0e\u907f\u969c\uff1b2020\u5e74\u7684Local Motion Phases\u5219\u5904\u7406\u591a\u63a5\u89e6\u3001\u5feb\u901f\u5207\u6362\u548c\u5168\u8eab\u534f\u8c03\u7b49\u95ee\u9898\u3002<\/p>\n

\u7814\u7a76\u5bf9\u8c61\u7531\u5b64\u7acb\u7684\u4eba\u4f53\u52a8\u4f5c\uff0c\u9010\u6e10\u6269\u5c55\u5230\u8eab\u4f53\u3001\u7269\u4f53\u548c\u73af\u5883\u4e4b\u95f4\u7684\u5173\u7cfb\u3002<\/p>\n

2022\u5e74\uff0c\u4ed6\u4e0e\u56e2\u961f\u63d0\u51fa\u7684DeepPhase\u83b7\u5f97SIGGRAPH\u6700\u4f73\u8bba\u6587\u5956\u3002<\/p>\n

\u8fd9\u9879\u6280\u672f\u901a\u8fc7\u5468\u671f\u6027\u81ea\u7f16\u7801\u5668\u4ece\u672a\u7ecf\u4eba\u5de5\u6574\u7406\u7684\u52a8\u4f5c\u6570\u636e\u4e2d\u5b66\u4e60\u591a\u7ef4\u76f8\u4f4d\u7a7a\u95f4\uff0c\u6355\u6349\u4e0d\u540c\u8eab\u4f53\u90e8\u4f4d\u968f\u65f6\u95f4\u53d8\u5316\u7684\u7ed3\u6784\u3002<\/p>\n

\u5b83\u8ba9\u7cfb\u7edf\u5728\u68c0\u7d22\u3001\u5bf9\u9f50\u548c\u5408\u6210\u590d\u6742\u52a8\u4f5c\u65f6\uff0c\u4e0d\u518d\u4f9d\u8d56\u4eba\u4e3a\u5b9a\u4e49\u7684\u5355\u4e00\u52a8\u4f5c\u9636\u6bb5\uff1b\u751f\u6210\u7ed3\u679c\u4e5f\u4e0d\u53ea\u5728\u5355\u5e27\u59ff\u6001\u4e0a\u201c\u770b\u8d77\u6765\u50cf\u201d\uff0c\u5728\u65f6\u95f4\u7ec4\u7ec7\u4e0a\u540c\u6837\u66f4\u52a0\u8fde\u8d2f\u3002<\/p>\n

\u56f4\u7ed5\u8fd9\u6761\u7814\u7a76\u7ebf\u5f62\u6210\u7684AI4Animation\u5f00\u6e90\u9879\u76ee\u5df2\u7ecf\u83b7\u5f97GitHub8,000\u591a\u4e2aStar\uff0c\u662f\u52a8\u4f5c\u751f\u6210\u9886\u57df\u6700\u5177\u5f71\u54cd\u529b\u7684\u5f00\u6e90\u9879\u76ee\u4e4b\u4e00\u3002<\/p>\n

\u9879\u76ee\u7531\u56e2\u961f\u6210\u5458\u6301\u7eed\u7ef4\u62a4\uff0c\u6c47\u96c6\u4e86Taku\u56e2\u961f\u957f\u671f\u4ee5\u6765\u5728\u4eba\u5f62\u8fd0\u52a8\u3001\u56db\u8db3\u8fd0\u52a8\u548c\u573a\u666f\u4ea4\u4e92\u7b49\u65b9\u5411\u7684\u79ef\u7d2f\u3002<\/p>\n

\u4ece2016\u5e74\u8bba\u6587\u5728\u5341\u5e74\u540e\u83b7\u5f97\u65f6\u95f4\u68c0\u9a8c\u5956\uff0cTaku\u7684\u7814\u7a76\u4e3b\u7ebf\u53ef\u4ee5\u6982\u62ec\u4e3a\u4e00\u4e2a\u5b8c\u6574\u7684\u4eba\u7c7b\u4ea4\u4e92\u5148\u9a8c\u6a21\u578b\uff1a<\/p>\n

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\u8981\u91c7\u5f97\u8db3\u591f\u591a\uff0c\u786c\u4ef6\u5fc5\u987b\u4fbf\u5b9c\u5230\u53ef\u4ee5\u94fa\u5f00\uff0c\u800c\u4f4e\u6210\u672c\u4f20\u611f\u5668\u566a\u58f0\u5927\u3001\u4fe1\u606f\u7f3a\u5931\u3002<\/p>\n

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\n

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\u5141\u4e2d \u53d1\u81ea \u51f9\u975e\u5bfa<\/p>\n

2026\u5e747\u6708\u53ec\u5f00\u7684\u8ba1\u7b97\u673a\u56fe\u5f62\u5b66\u9876\u4f1aSIGGRAPH\uff0c\u516c\u5e03\u4e86\u65f6\u95f4\u68c0\u9a8c\u5956\uff08Test-of-Time Award\uff09\u3002<\/p>\n

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