{"id":28529,"date":"2025-12-29T08:40:06","date_gmt":"2025-12-29T00:40:06","guid":{"rendered":"https:\/\/aif.amtbbs.org\/?p=28529"},"modified":"2025-12-29T08:40:06","modified_gmt":"2025-12-29T00:40:06","slug":"siggraph-asia-2025%ef%bd%9c%e5%bd%93%e8%a7%86%e9%a2%91%e7%94%9f%e6%88%90%e7%9c%9f%e6%ad%a3%e3%80%8c%e7%9c%8b%e6%b8%85%e4%b8%80%e4%b8%aa%e4%ba%ba%e3%80%8d%ef%bc%9a%e5%a4%9a%e8%a7%86%e8%a7%92%e8%ba%ab","status":"publish","type":"post","link":"https:\/\/aif.amtbbs.org\/index.php\/2025\/12\/29\/28529\/","title":{"rendered":"SIGGRAPH Asia 2025\uff5c\u5f53\u89c6\u9891\u751f\u6210\u771f\u6b63\u300c\u770b\u6e05\u4e00\u4e2a\u4eba\u300d\uff1a\u591a\u89c6\u89d2\u8eab\u4efd\u4e00\u81f4\u3001\u771f\u5b9e\u5149\u7167\u4e0e\u53ef\u63a7\u955c\u5934\u7684\u7edf\u4e00\u6846\u67b6"},"content":{"rendered":"
Virtually Being \u5e76\u4e0d\u4ec5\u4ec5\u63d0\u51fa\u4e86\u4e00\u4e2a\u65b0\u6846\u67b6\uff0c\u800c\u662f\u660e\u786e\u63d0\u51fa\u5e76\u9a8c\u8bc1\u4e86\u4e00\u4e2a\u957f\u671f\u88ab\u5ffd\u89c6\u7684\u89c2\u70b9\u3002<\/div>\n
\n
\n

\u7b2c\u4e00\u4f5c\u8005\u5f90\u6e90\u8bda\u662f Netflix Eyeline \u7684\u7814\u7a76\u79d1\u5b66\u5bb6\uff0c\u4e13\u6ce8\u4e8e\u57fa\u7840 AI \u6a21\u578b\u7684\u7814\u7a76\u4e0e\u5f00\u53d1\uff0c\u6db5\u76d6\u591a\u6a21\u6001\u7406\u89e3\u3001\u63a8\u7406\u3001\u4ea4\u4e92\u4e0e\u751f\u6210\uff0c\u91cd\u70b9\u65b9\u5411\u5305\u62ec\u53ef\u63a7\u89c6\u9891\u751f\u6210\u53ca\u5176\u5728\u5f71\u89c6\u5236\u4f5c\u4e2d\u7684\u5e94\u7528\u3002\u4ed6\u4e8e 2025 \u5e74\u83b7\u5f97\u7f8e\u56fd\u9a6c\u91cc\u5170\u5927\u5b66\u5e15\u514b\u5206\u6821\u535a\u58eb\u5b66\u4f4d\u3002<\/p>\n

\u6700\u540e\u4f5c\u8005\u4e8e\u5b81\u662f Netflix Eyeline \u8d44\u6df1\u7814\u7a76\u79d1\u5b66\u5bb6\uff0c\u5e26\u9886\u89c6\u9891\u751f\u6210 AI \u5728\u5f71\u89c6\u5236\u4f5c\u4e2d\u7684\u7814\u53d1\u3002\u4ed6\u66fe\u5c31\u804c\u4e8e\u00a0Salesforce\u3001NVIDIA \u53ca Adobe\uff0c\u83b7\u9a6c\u91cc\u5170\u5927\u5b66\u4e0e\u9a6c\u666e\u6240\u8054\u5408\u535a\u58eb\u5b66\u4f4d\u3002\u4ed6\u591a\u6b21\u5165\u56f4\u9ad8\u901a\u5956\u5b66\u91d1\u3001CSAW \u6b27\u6d32\u6700\u4f73\u8bba\u6587\uff0c\u5e76\u83b7\u4e9a\u9a6c\u900a Twitch \u5956\u5b66\u91d1\u3001\u5fae\u8f6f\u5c0f\u5b66\u8005\u5956\u5b66\u91d1\uff0c\u4ee5\u53ca SPIE \u6700\u4f73\u5b66\u751f\u8bba\u6587\u3002\u4ed6\u62c5\u4efb CVPR\u3001ICCV\u3001ECCV\u3001NeurIPS\u3001ICML\u3001ICLR \u7b49\u9876\u4f1a\u7684\u9886\u57df\u4e3b\u5e2d\uff0c\u4ee5\u53ca TMLR \u7684\u6267\u884c\u7f16\u8f91\u3002<\/p>\n

\u5728\u7535\u5f71\u4e0e\u865a\u62df\u5236\u4f5c\u4e2d\uff0c\u300c\u770b\u6e05\u4e00\u4e2a\u4eba\u300d\u4ece\u6765\u4e0d\u662f\u770b\u6e05\u67d0\u4e00\u5e27\u3002\u5bfc\u6f14\u901a\u8fc7\u955c\u5934\u8fd0\u52a8\u4e0e\u5149\u7ebf\u53d8\u5316\uff0c\u8ba9\u89c2\u4f17\u5728\u4e0d\u540c\u89c6\u89d2\u3001\u4e0d\u540c\u5149\u7167\u6761\u4ef6\u4e0b\u9010\u6b65\u5efa\u7acb\u5bf9\u4e00\u4e2a\u89d2\u8272\u7684\u5b8c\u6574\u8ba4\u77e5\u3002\u7136\u800c\uff0c\u5728\u5f53\u524d\u5927\u91cf customizing video generation model \u7684\u7814\u7a76\u4e2d\uff0c\u8fd9\u4e2a\u6700\u57fa\u672c\u7684\u4e8b\u5b9e\uff0c\u5374\u5f80\u5f80\u88ab\u5ffd\u89c6\u3002<\/p>\n

<\/p>\n

    \n
  • \u8bba\u6587\u5730\u5740: https:\/\/arxiv.org\/pdf\/2510.14179<\/li>\n
  • \u9879\u76ee\u4e3b\u9875: https:\/\/eyeline-labs.github.io\/Virtually-Being\/<\/li>\n<\/ul>\n

    \u88ab\u5ffd\u89c6\u7684\u6838\u5fc3\u95ee\u9898\uff1aMulti-view Identity Preservation<\/p>\n

    <\/p>\n

    \u591a\u89c6\u89d2\u8eab\u4efd\u4e00\u81f4\u3001\u955c\u5934\u73af\u7ed5\u4e0e\u591a\u4eba\u7269\u793a\u4f8b<\/span><\/p>\n

    \u8fd1\u5e74\u6765\uff0c\u89c6\u9891\u751f\u6210\u9886\u57df\u4e2d\u5173\u4e8e\u4eba\u7269\u5b9a\u5236\uff08customization\uff09\u7684\u7814\u7a76\u8fc5\u901f\u53d1\u5c55\u3002\u7edd\u5927\u591a\u6570\u65b9\u6cd5\u9075\u5faa\u4e00\u79cd\u76f8\u4f3c\u8303\u5f0f\uff1a\u7ed9\u5b9a\u4e00\u5f20\u6216\u5c11\u91cf\u4eba\u7269\u56fe\u50cf \u2192 \u751f\u6210\u5305\u542b\u8be5\u4eba\u7269\u7684\u89c6\u9891\u3002\u8fd9\u79cd\u8303\u5f0f\u9690\u542b\u4e86\u4e00\u4e2a\u5173\u952e\u5047\u8bbe\uff1a\u53ea\u8981\u4eba\u7269\u5728\u67d0\u4e2a\u89c6\u89d2\u4e0b\u770b\u8d77\u6765\u50cf\uff0c\u5c31\u7b49\u4ef7\u4e8e\u300c\u8eab\u4efd\u88ab\u4fdd\u7559\u300d\u3002\u4f46\u5728\u771f\u5b9e\u7684\u89c6\u9891\u4e0e\u7535\u5f71\u8bed\u5883\u4e2d\uff0c\u8fd9\u4e2a\u5047\u8bbe\u5e76\u4e0d\u6210\u7acb\u3002<\/p>\n

    \u4e3a\u4ec0\u4e48\u5355\u89c6\u89d2\u8eab\u4efd\u662f\u4e0d\u591f\u7684\uff1f<\/p>\n

      \n
    • \u8eab\u4efd\u662f\u5f3a\u70c8\u4f9d\u8d56\u89c6\u89d2\u7684\uff08view-dependent\uff09<\/span><\/li>\n<\/ul>\n

      \u9762\u90e8\u8f6e\u5ed3\u3001\u4e94\u5b98\u6bd4\u4f8b\u3001\u4f53\u6001\u4e0e\u8863\u7269\u5f62\u6001\uff0c\u90fd\u4f1a\u968f\u89c2\u5bdf\u89d2\u5ea6\u53d1\u751f\u7cfb\u7edf\u6027\u53d8\u5316\u3002<\/p>\n

        \n
      • \u76f8\u673a\u8fd0\u52a8\u4f1a\u6301\u7eed\u66b4\u9732\u672a\u89c1\u8fc7\u7684\u5916\u89c2\u533a\u57df<\/li>\n<\/ul>\n

        \u5355\u5f20\u6216\u5c11\u91cf\u56fe\u50cf\u65e0\u6cd5\u8986\u76d6\u4fa7\u8138\u3001\u80cc\u9762\u4ee5\u53ca\u8fde\u7eed\u89c6\u89d2\u53d8\u5316\u8fc7\u7a0b\u4e2d\u7684\u5916\u89c2\u4e00\u81f4\u6027\u3002<\/p>\n

          \n
        • \u591a\u4eba\u573a\u666f\u4f1a\u653e\u5927\u4efb\u4f55\u8eab\u4efd\u9519\u8bef<\/li>\n<\/ul>\n

          \u5f53\u591a\u4e2a\u89d2\u8272\u540c\u6846\u65f6\uff0c\u54ea\u6015\u8f7b\u5fae\u7684\u8eab\u4efd\u6f02\u79fb\u90fd\u4f1a\u53d8\u5f97\u975e\u5e38\u660e\u663e\u3002<\/p>\n

          \u56e0\u6b64\uff0c\u5728\u5177\u6709\u771f\u5b9e 3D \u76f8\u673a\u8fd0\u52a8\u7684\u89c6\u9891\u4e2d\uff0c\u300cidentity preservation\u300d\u672c\u8d28\u4e0a\u662f\u4e00\u4e2a multi-view consistency \u95ee\u9898\uff0c\u800c\u4e0d\u662f\u5355\u5e27\u76f8\u4f3c\u5ea6\u95ee\u9898\u3002<\/p>\n

          \u7136\u800c\uff0c\u4ee4\u4eba\u9057\u61be\u7684\u662f\uff0c\u663e\u5f0f\u5173\u6ce8 multi-view identity preservation\uff0c\u5728\u5f53\u524d\u7684\u89c6\u9891\u5b9a\u5236\u5316\u751f\u6210\u7814\u7a76\u4e2d\u4ecd\u7136\u51e0\u4e4e\u6ca1\u6709\u88ab\u7cfb\u7edf\u6027\u5730\u89e3\u51b3\u3002<\/p>\n

          \u6838\u5fc3\u7acb\u573a\uff1a\u5b66\u4e60\u4e00\u4e2a\u4eba\u7684\u8eab\u4efd\uff0c\u5fc5\u987b\u5b66\u4e60\u4ed6\u5728\u591a\u89c6\u89d2\u4e0e\u591a\u5149\u7167\u4e0b\u7684\u6837\u5b50<\/h4>\n

          Virtually Being\u00a0\u7684\u6838\u5fc3\u8bba\u70b9\u975e\u5e38\u660e\u786e\uff1a\u5982\u679c\u5e0c\u671b\u6a21\u578b\u771f\u6b63\u300c\u5b66\u4f1a\u4e00\u4e2a\u4eba\u7684\u8eab\u4efd\u300d\uff0c\u90a3\u4e48\u5b83\u5fc5\u987b\u770b\u5230\u8fd9\u4e2a\u4eba\u5728\u4e0d\u540c\u89c6\u89d2\uff08multi-view\uff09\u548c\u4e0d\u540c\u5149\u7167\uff08various lighting\uff09\u4e0b\u7684\u7a33\u5b9a\u5916\u89c2\u3002<\/p>\n

          \u6362\u53e5\u8bdd\u8bf4\uff0c\u770b\u6e05\u4e00\u4e2a\u4eba\uff0c\u4e0d\u662f\u770b\u6e05\u4e00\u5f20\u8138\uff0c\u800c\u662f\u7406\u89e3\u8fd9\u4e2a\u4eba\u5728\u7a7a\u95f4\u4e2d\u5982\u4f55\u88ab\u89c2\u5bdf\uff0c\u5728\u5149\u7ebf\u53d8\u5316\u4e0b\u5982\u4f55\u5448\u73b0\u3002\u8eab\u4efd\u4e0d\u662f\u4e00\u4e2a\u9759\u6001\u7684 2D \u5c5e\u6027\uff0c\u800c\u662f\u4e00\u4e2a 4D\uff08\u7a7a\u95f4 + \u65f6\u95f4\uff09\u4e00\u81f4\u7684\u6982\u5ff5\uff0c\u8fd9\u6b63\u662f Virtually Being \u6240\u8981\u7cfb\u7edf\u6027\u89e3\u51b3\u7684\u95ee\u9898\u3002<\/p>\n

          \u65b9\u6cd5\u6982\u89c8\uff1a\u7528 4D \u91cd\u5efa\u6784\u5efa\u771f\u6b63\u7684\u591a\u89c6\u89d2\u8eab\u4efd\u76d1\u7763<\/h4>\n

          \u4e3a\u4e86\u89e3\u51b3 multi-view identity \u88ab\u957f\u671f\u5ffd\u89c6\u7684\u95ee\u9898\uff0c\u6211\u4eec\u4ece\u6570\u636e\u5c42\u9762\u91cd\u65b0\u8bbe\u8ba1\u4e86\u4eba\u7269\u5b9a\u5236\u6d41\u7a0b\u3002<\/p>\n

          \u591a\u89c6\u89d2\u8868\u6f14\u91c7\u96c6\uff0c\u800c\u975e\u5355\u89c6\u89d2\u53c2\u8003<\/p>\n

            \n
          • \u4f7f\u7528\u4e13\u4e1a\u4f53\u79ef\u6355\u6349\u7cfb\u7edf\u91c7\u96c6\u771f\u5b9e\u4eba\u7269\u8868\u6f14\uff1a75 \u76f8\u673a\u9762\u90e8\u6355\u6349\u9635\u5217\u3001160 \u76f8\u673a\u5168\u8eab\u6355\u6349\u9635\u5217\uff1b<\/li>\n
          • \u6355\u6349\u4eba\u7269\u5728\u53d7\u63a7\u6761\u4ef6\u4e0b\u7684\u52a8\u6001\u8868\u6f14\uff0c\u4e3a\u9ad8\u8d28\u91cf\u91cd\u5efa\u63d0\u4f9b\u8f93\u5165\u3002<\/li>\n<\/ul>\n

            4D Gaussian Splatting \u4f5c\u4e3a\u6570\u636e\u751f\u6210\u5668<\/p>\n

              \n
            • \u5bf9\u6355\u6349\u5230\u7684\u8868\u6f14\u8fdb\u884c 4D Gaussian Splatting (4DGS) \u91cd\u5efa\uff1b<\/li>\n
            • \u5728\u91cd\u5efa\u7ed3\u679c\u4e0a\u6e32\u67d3\u5927\u91cf\u89c6\u9891\uff1a\u8986\u76d6\u8fde\u7eed\u53d8\u5316\u7684\u76f8\u673a\u8f68\u8ff9\u3001\u5177\u5907\u7cbe\u786e\u7684 3D \u76f8\u673a\u53c2\u6570\u6807\u6ce8\u3001\u4fdd\u8bc1\u540c\u4e00\u4eba\u7269\u5728\u4e0d\u540c\u89c6\u89d2\u4e0b\u7684\u8eab\u4efd\u4e00\u81f4\u6027\u3002<\/li>\n<\/ul>\n

              \u901a\u8fc7\u8fd9\u4e00\u8fc7\u7a0b\uff0c\u89c6\u9891\u751f\u6210\u6a21\u578b\u5728\u8bad\u7ec3\u9636\u6bb5\u4e0d\u518d\u4f9d\u8d56\u96f6\u6563\u7684\u56fe\u50cf\u7ebf\u7d22\uff0c\u800c\u662f\u53cd\u590d\u89c2\u5bdf\u540c\u4e00\u4e2a\u4eba\u5728\u591a\u89c6\u89d2\u3001\u8fde\u7eed\u955c\u5934\u8fd0\u52a8\u4e0b\u5e94\u5f53\u5982\u4f55\u4fdd\u6301\u5916\u89c2\u4e00\u81f4\u3002<\/p>\n

              \u4e24\u9636\u6bb5\u8bad\u7ec3\uff1a\u5148\u7406\u89e3\u955c\u5934\uff0c\u518d\u7406\u89e3\u300c\u8fd9\u4e2a\u4eba\u300d<\/h4>\n

              \u4e3a\u4e86\u5728\u8eab\u4efd\u5b9a\u5236\u7684\u540c\u65f6\u4fdd\u6301\u7a33\u5b9a\u7684\u955c\u5934\u63a7\u5236\u80fd\u529b\uff0c\u6211\u4eec\u91c7\u7528\u4e86\u4e00\u4e2a\u6e05\u6670\u89e3\u8026\u7684\u4e24\u9636\u6bb5\u8bad\u7ec3\u7b56\u7565\u3002<\/p>\n

              \u9636\u6bb5\u4e00\uff1a\u76f8\u673a\u611f\u77e5\u9884\u8bad\u7ec3\uff08Camera-aware Pretraining\uff09<\/strong><\/p>\n

              \u57fa\u4e8e ControlNet \u67b6\u6784\uff0c\u5f15\u5165\u5b8c\u6574 3D \u76f8\u673a\u53c2\u6570\uff08Pl\u00fccker \u8868\u793a\uff09\uff0c\u5728\u5927\u89c4\u6a21\u516c\u5f00\u89c6\u9891\u6570\u636e\u4e0a\u8bad\u7ec3\u6a21\u578b\uff0c\u4f7f\u5176\u5b66\u4f1a\u76f8\u673a\u8fd0\u52a8\u5982\u4f55\u5f71\u54cd\u89c6\u89d2\u53d8\u5316\u4e0e\u65f6\u95f4\u7ed3\u6784\u3002\u8fd9\u4e00\u9636\u6bb5\u7684\u76ee\u6807\uff0c\u662f\u8ba9\u6a21\u578b\u7262\u56fa\u638c\u63e1\u7535\u5f71\u7ea7\u7684\u955c\u5934\u8bed\u8a00\u3002<\/p>\n

              \u9636\u6bb5\u4e8c\uff1a\u591a\u89c6\u89d2\u8eab\u4efd\u5b9a\u5236\uff08Multi-view Customization\uff09<\/strong><\/p>\n

              \u5728\u9884\u8bad\u7ec3\u6a21\u578b\u57fa\u7840\u4e0a\u8fdb\u884c\u5fae\u8c03\uff0c\u4f7f\u7528 4DGS \u6e32\u67d3\u7684\u591a\u89c6\u89d2\u89c6\u9891\u4f5c\u4e3a\u5b9a\u5236\u6570\u636e\uff0c\u4e3a\u6bcf\u4e2a\u8eab\u4efd\u5f15\u5165\u4e13\u5c5e token\uff0c\u5c06\u8eab\u4efd\u4e0e\u591a\u89c6\u89d2\u5916\u89c2\u663e\u5f0f\u7ed1\u5b9a\uff0c\u6700\u7ec8\u6a21\u578b\u5728\u63a8\u7406\u65f6\u80fd\u591f\u7cbe\u786e\u9075\u5faa\u8f93\u5165\u7684 3D \u76f8\u673a\u8f68\u8ff9\uff0c\u5728\u672a\u89c1\u8fc7\u7684\u89c6\u89d2\u4e0b\u4ecd\u7136\u7a33\u5b9a\u5448\u73b0\u540c\u4e00\u4e2a\u4eba\u3002<\/p>\n

              <\/p>\n

              \u5149\u7167\u771f\u5b9e\u611f\uff1a\u8eab\u4efd\u611f\u77e5\u4e0d\u53ef\u5206\u5272\u7684\u4e00\u90e8\u5206<\/h4>\n

              \u9664\u4e86\u89c6\u89d2\uff0c\u5149\u7167\u540c\u6837\u662f\u300c\u770b\u6e05\u4e00\u4e2a\u4eba\u300d\u7684\u5173\u952e\u7ef4\u5ea6\u3002<\/p>\n

              \u5728\u771f\u5b9e\u7535\u5f71\u4e2d\uff0c\u4eba\u7269\u8eab\u4efd\u5e76\u4e0d\u662f\u5728\u5355\u4e00\u5149\u7167\u6761\u4ef6\u4e0b\u88ab\u8ba4\u77e5\u7684\uff0c\u800c\u662f\u5728\u4e0d\u540c\u5ba4\u5185\u5916\u73af\u5883\uff0c\u4fa7\u5149\u3001\u9006\u5149\u3001\u67d4\u5149\u7b49\u53d8\u5316\uff0c\u4e0d\u540c\u5149\u6bd4\u4e0e\u8272\u6e29\u6761\u4ef6\u4e0b\u9010\u6b65\u88ab\u89c2\u4f17\u786e\u8ba4\u3002<\/p>\n

              \u5728 Virtually Being \u4e2d\uff0c\u6211\u4eec\u901a\u8fc7\u5f15\u5165\u57fa\u4e8e HDR \u7684\u89c6\u9891\u91cd\u6253\u5149\u6570\u636e\uff0c\u663e\u8457\u589e\u5f3a\u4e86\u751f\u6210\u89c6\u9891\u4e2d\u7684\u5149\u7167\u771f\u5b9e\u611f\u3002\u5728 4DGS \u6e32\u67d3\u57fa\u7840\u4e0a\uff0c\u5bf9\u540c\u4e00\u4eba\u7269\u751f\u6210\u591a\u79cd\u81ea\u7136\u5149\u7167\u6761\u4ef6\uff0c\u8986\u76d6\u771f\u5b9e\u62cd\u6444\u4e2d\u5e38\u89c1\u7684\u7167\u660e\u53d8\u5316\u8303\u56f4\uff0c\u4f7f\u6a21\u578b\u5b66\u4f1a\u5728\u5149\u7167\u53d8\u5316\u4e0b\uff0c\u4eba\u7269\u8eab\u4efd\u4ecd\u5e94\u4fdd\u6301\u7a33\u5b9a\u3002<\/p>\n

              \u5b9e\u9a8c\u7ed3\u679c\u663e\u793a\uff0c\u5f15\u5165\u91cd\u5149\u7167\u6570\u636e\u540e\uff0c\u751f\u6210\u89c6\u9891\u5728\u7528\u6237\u7814\u7a76\u4e2d 83.9% \u88ab\u8ba4\u4e3a\u5149\u7167\u66f4\u81ea\u7136\u3001\u66f4\u7b26\u5408\u771f\u5b9e\u62cd\u6444\u6548\u679c\uff0c\u7f3a\u4e4f\u8be5\u6570\u636e\u65f6\uff0c\u4eba\u7269\u5f80\u5f80\u5448\u73b0\u5e73\u5766\u3001\u7f3a\u4e4f\u5c42\u6b21\u7684\u5408\u6210\u611f\u3002<\/p>\n

              \u591a\u4eba\u7269\u751f\u6210\uff1amulti-view identity \u624d\u80fd\u652f\u6491\u771f\u5b9e\u4e92\u52a8<\/h4>\n

              \u5728\u591a\u4eba\u7269\u89c6\u9891\u751f\u6210\u4e2d\uff0cmulti-view identity preservation \u7684\u91cd\u8981\u6027\u8fdb\u4e00\u6b65\u88ab\u653e\u5927\u3002<\/p>\n

              \u53ea\u6709\u5f53\u6a21\u578b\u5bf9\u6bcf\u4e2a\u89d2\u8272\u5728\u4e0d\u540c\u89c6\u89d2\u4e0e\u5149\u7167\u6761\u4ef6\u4e0b\u7684\u8eab\u4efd\u90fd\u6709\u7a33\u5b9a\u5efa\u6a21\u65f6\uff0c\u4eba\u7269\u624d\u80fd\u81ea\u7136\u540c\u6846\uff0c\u7a7a\u95f4\u5173\u7cfb\u624d\u80fd\u4fdd\u6301\u4e00\u81f4\uff0c\u4e92\u52a8\u624d\u4e0d\u4f1a\u663e\u5f97\u62fc\u63a5\u6216\u6df7\u4e71\u3002<\/p>\n

              Virtually Being \u652f\u6301\u4e24\u79cd\u591a\u4eba\u7269\u751f\u6210\u65b9\u5f0f\uff1a<\/p>\n

                \n
              • \u8054\u5408\u8bad\u7ec3\uff08Joint Training\uff09\uff1a\u901a\u8fc7\u5c11\u91cf\u540c\u6846\u6570\u636e\u589e\u5f3a\u4e92\u52a8\u771f\u5b9e\u6027\uff1b<\/span><\/li>\n
              • \u63a8\u7406\u9636\u6bb5\u7ec4\u5408\uff08Noise Blending\uff09\uff1a\u5728\u65e0\u9700\u91cd\u65b0\u8bad\u7ec3\u7684\u60c5\u51b5\u4e0b\u7075\u6d3b\u7ec4\u5408\u591a\u4e2a\u8eab\u4efd\u3002<\/span><\/li>\n<\/ul>\n

                <\/p>\n

                \u5b9e\u9a8c\u7ed3\u8bba\uff1amulti-view + relighting \u662f\u8eab\u4efd\u4e00\u81f4\u6027\u7684\u5173\u952e\u56e0\u7d20<\/h4>\n

                \u7cfb\u7edf\u6027\u5b9e\u9a8c\u8868\u660e\uff0c\u4f7f\u7528 multi-view \u6570\u636e\u8bad\u7ec3\u7684\u6a21\u578b\uff0c\u5728 AdaFace \u7b49\u8eab\u4efd\u6307\u6807\u4e0a\u663e\u8457\u4f18\u4e8e\u4ec5\u4f7f\u7528 frontal-view \u6570\u636e\u7684\u6a21\u578b\u4ee5\u53ca\u5176\u4ed6 video customization \u7684\u65b9\u6cd5\u3002\u7f3a\u5931 multi-view \u6216 relighting \u6570\u636e\uff0c\u90fd\u4f1a\u5bfc\u81f4\u8eab\u4efd\u4e00\u81f4\u6027\u4e0e\u771f\u5b9e\u611f\u660e\u663e\u4e0b\u964d\u3002\u7528\u6237\u7814\u7a76\u7ed3\u679c\u540c\u6837\u660e\u786e\u504f\u597d\u5177\u5907 multi-view \u8eab\u4efd\u7a33\u5b9a\u6027\u7684\u751f\u6210\u7ed3\u679c\u3002<\/p>\n

                <\/p>\n

                <\/p>\n

                \u603b\u7ed3\uff1a\u91cd\u65b0\u5b9a\u4e49\u89c6\u9891\u751f\u6210\u4e2d\u7684\u300c\u8eab\u4efd\u300d<\/h4>\n

                Virtually Being \u5e76\u4e0d\u4ec5\u4ec5\u63d0\u51fa\u4e86\u4e00\u4e2a\u65b0\u6846\u67b6\uff0c\u800c\u662f\u660e\u786e\u63d0\u51fa\u5e76\u9a8c\u8bc1\u4e86\u4e00\u4e2a\u957f\u671f\u88ab\u5ffd\u89c6\u7684\u89c2\u70b9\uff1a\u5728\u89c6\u9891\u751f\u6210\u4e2d\uff0c\u8eab\u4efd\u4e0d\u662f\u4e00\u5f20\u56fe\u50cf\uff0c\u800c\u662f\u4e00\u4e2a\u4eba\u5728\u591a\u89c6\u89d2\u4e0e\u591a\u5149\u7167\u6761\u4ef6\u4e0b\u4fdd\u6301\u7a33\u5b9a\u7684 4D \u8868\u73b0\u3002\u901a\u8fc7\u7cfb\u7edf\u6027\u5730\u5f15\u5165 multi-view \u8868\u6f14\u6570\u636e\u4e0e\u771f\u5b9e\u5149\u7167\u53d8\u5316\uff0c\u6211\u4eec\u4e3a customizing video generation model \u63d0\u4f9b\u4e86\u4e00\u6761\u66f4\u8d34\u8fd1\u7535\u5f71\u5236\u4f5c\u5b9e\u9645\u9700\u6c42\u7684\u89e3\u51b3\u8def\u5f84\u3002<\/p>\n

                 <\/p>\n

                \u6587\u7ae0\u6765\u81ea\uff1a51CTO<\/p>\n<\/div>\n<\/div>\n

                <\/div>\n

                <\/g><\/svg><\/i> \"Loading\"<\/p>\n

                <\/div>\n","protected":false},"excerpt":{"rendered":"

                Virtually Being \u5e76\u4e0d\u4ec5\u4ec5\u63d0\u51fa\u4e86\u4e00\u4e2a\u65b0\u6846\u67b6\uff0c\u800c\u662f\u660e\u786e\u63d0\u51fa\u5e76\u9a8c\u8bc1\u4e86\u4e00\u4e2a\u957f\u671f\u88ab\u5ffd\u89c6\u7684\u89c2\u70b9\u3002 \u7b2c\u4e00\u4f5c\u8005 […]<\/p>\n

                <\/div>\n

                <\/g><\/svg><\/i> \"Loading\"<\/p>\n

                <\/div>\n","protected":false},"author":56,"featured_media":28530,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[23,20,80],"tags":[2044,2045],"class_list":["post-28529","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-23","category-20","category-80","tag-siggraph-asia-2025","tag-2045"],"_links":{"self":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/28529","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/users\/56"}],"replies":[{"embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/comments?post=28529"}],"version-history":[{"count":1,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/28529\/revisions"}],"predecessor-version":[{"id":28536,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/28529\/revisions\/28536"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/media\/28530"}],"wp:attachment":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/media?parent=28529"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/categories?post=28529"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/tags?post=28529"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}