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\"\u4eca\u5e74CVPR\u770b\u70b9\u662f\u5e7f\u4e1c\uff1a\u4f55\u607a\u660e\u518d\u83b7\u81f3\u9ad8\u5927\u5956\uff0c\u5e7f\u5de5\u5927\u6253\u7834\u5927\u5382\u540d\u6821\u5784\u65ad\"\/<\/div><\/figure>\n
\"\u4eca\u5e74CVPR\u770b\u70b9\u662f\u5e7f\u4e1c\uff1a\u4f55\u607a\u660e\u518d\u83b7\u81f3\u9ad8\u5927\u5956\uff0c\u5e7f\u5de5\u5927\u6253\u7834\u5927\u5382\u540d\u6821\u5784\u65ad\"\/<\/div><\/figure>\n
\"\u4eca\u5e74CVPR\u770b\u70b9\u662f\u5e7f\u4e1c\uff1a\u4f55\u607a\u660e\u518d\u83b7\u81f3\u9ad8\u5927\u5956\uff0c\u5e7f\u5de5\u5927\u6253\u7834\u5927\u5382\u540d\u6821\u5784\u65ad\"\/<\/div><\/figure>\n

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\u25b3\u56fe\u7247\u6765\u81eaCVPR2026\u5b98\u65b9X\u8d26\u53f7<\/p>\n

\u25b3\u56fe\u7247\u6765\u81eaCVPR2026\u5b98\u65b9X\u8d26\u53f7<\/p>\n

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\u25b3\u56fe\u7247\u6765\u81eaCVPR2026\u5b98\u65b9X\u8d26\u53f7<\/p>\n

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\u62ff\u4e0b\u6700\u4f73\u5b66\u751f\u8bba\u6587\u63d0\u540d\u7684ChordEdit\uff0c\u51fa\u81ea\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66\u3001\u60e0\u5dde\u5b66\u9662\u3001\u6df1\u5733\u5927\u5b66\u3001\u5317\u4eac\u5927\u5b66\u4e4b\u624b\u3002\u4e00\u4f5c\u4ee5\u53ca\u56e2\u961f\u91cc\u5176\u4ed6\u51e0\u4f4d\u4f5c\u8005\uff0c\u90fd\u8fd8\u662f\u672c\u79d1\u751f\u3002<\/p>\n

\u7eaf\u5b66\u672f\u56e2\u961f\uff0c\u672c\u79d1\u751f\u9635\u5bb9\uff0c\u4e00\u4f5c\u8fd8\u662f\u6ca1\u6709\u5927\u5382\u548c\u540d\u6821\u8d44\u6e90\u7684\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66\u3002<\/p>\n

\u4e86\u4e0d\u8d77\u554a\u4e86\u4e0d\u8d77\u3002<\/p>\n

\u5f53\u7136\uff0cCVPR\u8d62\u9ebb\u4e86\u7684\u4f55\u607a\u660e\u5927\u795e\uff0c\u4e5f\u662f\u5e7f\u4e1c\u6ee1\u5206\u9ad8\u8003\u72b6\u5143\u3002<\/p>\n

\u8fd9\u5c4aCVPR\uff0c\u7f8e\u56fd\u4e39\u4f5b\u4e3e\u529e\uff0c\u4f46\u7ca4\u662f\u5e7f\u4e1c\u5706\u4e86\u3002<\/p>\n

\u4eca\u5e74CVPR\u7684\u6700\u4f73\u8bba\u6587\u662fD4RT\uff08\u300aEffciently Reconstructing Dynamic Scenes One D4RT at a Time\u300b\uff09\u3002<\/p>\n

\u25b3\u56fe\u7247\u6765\u81eaCVPR2026\u5b98\u65b9X\u8d26\u53f7<\/p>\n

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D4RT\u5219\u6362\u4e86\u4e2a\u601d\u8def\uff1a\u628a\u300c\u9010\u5e27\u628a\u6240\u6709\u4e1c\u897f\u90fd\u89e3\u7801\u4e00\u904d\u300d\u7684\u7b28\u529e\u6cd5\uff0c\u6539\u6210\u300c\u4f60\u95ee\u54ea\u513f\u3001\u6211\u7b54\u54ea\u513f\u300d\u7684\u6309\u9700\u67e5\u8be2\u3002<\/p>\n

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\u6df1\u5ea6\u56fe\u3001\u70b9\u4e91\u3001\u70b9\u8f68\u8ff9\u3001\u76f8\u673a\u53c2\u6570\uff0c\u5168\u90fd\u4ece\u8fd9\u540c\u4e00\u5957\u67e5\u8be2\u63a5\u53e3\u91cc\u5410\u51fa\u6765\uff0c\u4e0d\u7528\u518d\u4e3a\u6bcf\u4e2a\u4efb\u52a1\u5404\u517b\u4e00\u4e2a\u89e3\u7801\u5668\u3002<\/p>\n

\u6548\u679c\u4e0a\u6570\u5b57\u4e5f\u5f88\u80fd\u6253\uff1a\u5728A100\u4e0a\uff0cD4RT\u505a\u4f4d\u59ff\u4f30\u8ba1\u80fd\u8dd1\u5230200+ FPS\uff0c\u6bd4\u53bb\u5e74\u7684\u6700\u4f73\u8bba\u6587VGGT\u5feb\u7ea69\u500d\uff0c\u6bd4MegaSaM\u5feb\u7ea6100\u500d\uff0c\u7cbe\u5ea6\u8fd8\u53cd\u8d85\u3002<\/p>\n

\u5728\u4e00\u7cfb\u5217\u52a8\u60014D\u91cd\u5efa\u4e0e\u8ffd\u8e2a\u4efb\u52a1\u4e0a\u5237\u65b0SOTA\uff0c\u5e76\u4e14\u652f\u6301\u5bf9\u89c6\u9891\u5168\u90e8\u50cf\u7d20\u505a\u7a20\u5bc6\u6574\u4f53\u91cd\u5efa\u3002<\/p>\n

\u8fd9\u91cc\u85cf\u7740\u4e00\u4e2a\u6709\u610f\u601d\u7684\u300c\u5e08\u627f\u300d\u5f69\u86cb\uff1a\u53bb\u5e74CVPR 2025\u6700\u4f73\u8bba\u6587\u662f\u51fa\u81ea\u725b\u6d25VGG\u5b9e\u9a8c\u5ba4\u7684VGGT\uff0c\u4eca\u5e74D4RT\u76f4\u63a5\u628aVGGT\u62ce\u51fa\u6765\u5f53\u4e3b\u8981\u5bf9\u624b\u6309\u5728\u5730\u4e0a\u6469\u64e6\u3002<\/p>\n

\u800cD4RT\u7684\u4f5c\u8005\u540d\u5355\u91cc\uff0c\u6b63\u5750\u7740VGG\u7684\u7075\u9b42\u4eba\u7269Andrew Zisserman\u3002<\/p>\n

\u540c\u4e00\u6761\u51e0\u4f55\u91cd\u5efa\u8109\u7edc\uff0c\u8fde\u7eed\u4e24\u5e74\u62ff\u4e0bCVPR\u6700\u9ad8\u8363\u8a89\u3002<\/p>\n

\u4e00\u7bc7\u662fSAM 3D\uff08\u300aSAM 3D\uff1a3Dfy Anything in Images\u300b\uff09\uff0c\u51fa\u81eaMeta\u8d85\u7ea7\u667a\u80fd\u5b9e\u9a8c\u5ba4\u3002<\/p>\n

\u25b3\u56fe\u7247\u6765\u81eaCVPR2026\u5b98\u65b9X\u8d26\u53f7<\/p>\n

\u8fd9\u7bc7\u8bba\u6587\u628a\u300cSAM\u300d\u7cfb\u5217\u4ece\u5206\u5272\u5ef6\u4f38\u5230\u4e86\u5355\u56fe3D\u91cd\u5efa\u3002<\/p>\n

\u7ed9\u4e00\u5f20\u666e\u901a\u7167\u7247\uff0c\u5b83\u5c31\u80fd\u9884\u6d4b\u7269\u4f53\u7684\u51e0\u4f55\u3001\u7eb9\u7406\u548c\u7a7a\u95f4\u5e03\u5c40\uff0c\u5c24\u5176\u64c5\u957f\u5e94\u4ed8\u73b0\u5b9e\u7167\u7247\u91cc\u5e38\u89c1\u7684\u906e\u6321\u548c\u6742\u4e71\u573a\u666f\u3002<\/p>\n

\u80cc\u540e\u662f\u4e00\u5957\u300c\u4eba\u673a\u534f\u540c\u300d\u6807\u6ce8\u6d41\u6c34\u7ebf\uff0c\u4ee5\u524d\u6240\u672a\u6709\u7684\u89c4\u6a21\u62ff\u5230\u5e26\u89c6\u89c9grounding\u76843D\u6570\u636e\uff0c\u9760\u5408\u6210\u9884\u8bad\u7ec3+\u771f\u5b9e\u5bf9\u9f50\u7684\u591a\u9636\u6bb5\u8bad\u7ec3\uff0c\u6345\u7834\u4e863D\u9886\u57df\u957f\u671f\u7684\u300c\u6570\u636e\u5899\u300d\u3002<\/p>\n

\u5728\u9762\u5411\u771f\u5b9e\u7269\u4f53\u548c\u573a\u666f\u7684\u4eba\u7c7b\u504f\u597d\u6d4b\u8bd5\u91cc\uff0c\u5b83\u62ff\u5230\u4e86\u81f3\u5c115:1\u7684\u80dc\u7387\u3002<\/p>\n

\u53e6\u4e00\u7bc7\u662fNitroGen\uff08\u300aNitroGen: An Open Foundation Model for Generalist Gaming Agents\u300b\uff09\u3002<\/p>\n

\u25b3\u56fe\u7247\u6765\u81eaCVPR2026\u5b98\u65b9X\u8d26\u53f7<\/p>\n

\u6765\u81ea\u82f1\u4f1f\u8fbe\u3001\u65af\u5766\u798f\u5927\u5b66\u3001\u52a0\u5dde\u7406\u5de5\u5b66\u9662\u3001\u829d\u52a0\u54e5\u5927\u5b66\u548c\u5fb7\u514b\u8428\u65af\u5927\u5b66\u5965\u65af\u6c40\u5206\u6821\u3002<\/p>\n

NitroGen\u662f\u4e00\u4e2a\u901a\u7528\u6e38\u620f\u667a\u80fd\u4f53\u7684\u5f00\u6e90\u57fa\u5ea7\u6a21\u578b\u3002\u5b83\u57281000\u591a\u6b3e\u6e38\u620f\u3001\u51714\u4e07\u5c0f\u65f6\u6e38\u620f\u89c6\u9891\u4e0a\u8bad\u7ec3\uff0c\u6838\u5fc3\u505a\u4e86\u4e09\u4ef6\u4e8b\uff1a<\/p>\n

\u4ece3D\u52a8\u4f5c\u6e38\u620f\u7684\u6218\u6597\uff0c\u52302D\u5e73\u53f0\u8df3\u8dc3\u7684\u7cbe\u7ec6\u64cd\u4f5c\uff0c\u518d\u5230\u7a0b\u5e8f\u751f\u6210\u4e16\u754c\u91cc\u7684\u63a2\u7d22\u5b83\u90fd\u80fd\u62ff\u4e0b\uff0c\u8fc1\u79fb\u5230\u6ca1\u89c1\u8fc7\u7684\u65b0\u6e38\u620f\u65f6\uff0c\u4efb\u52a1\u6210\u529f\u7387\u6700\u9ad8\u670952%\u7684\u76f8\u5bf9\u63d0\u5347\u3002<\/p>\n

\u8fd9\u652f\u961f\u4f0d\u6b63\u662f\u5f53\u5e74\u7528MineDojo\u62ff\u4e0bNeurIPS\u6700\u4f73\u8bba\u6587\u7684\u82f1\u4f1f\u8fbe\u73ed\u5e95\u3002<\/p>\n

\u8fd9\u4e2a\u5956\u4e13\u9881\u7ed9\u300c\u53d1\u8868\u5341\u5e74\u3001\u625b\u4f4f\u4e86\u65f6\u95f4\u8003\u9a8c\u300d\u7684CVPR\u8bba\u6587\uff0c\u4eca\u5e74\u4e00\u53e3\u6c14\u7ed9\u4e862016\u5e74\u53d1\u8868\u7684\u4e24\u7bc7\uff1a<\/p>\n

\u4e00\u7bc7\u662fResNet\uff08\u300aDeep Residual Learning for Image Recognition\u300b\uff09\u3002<\/p>\n

\u25b3\u56fe\u7247\u6765\u81eaCVPR2026\u5b98\u65b9X\u8d26\u53f7<\/p>\n

ResNet\u7528\u6b8b\u5dee\u8fde\u63a5\u7834\u89e3\u4e86\u6df1\u5c42\u7f51\u7edc\u300c\u8d8a\u6df1\u8d8a\u96be\u8bad\u300d\u7684\u6b7b\u7ed3\uff0c\u8ba9\u4e0a\u767e\u5c42\u7684\u7f51\u7edc\u771f\u6b63\u53ef\u8bad\u3002<\/p>\n

\u5341\u5e74\u6765\u5b83\u51e0\u4e4e\u6210\u4e86\u6df1\u5ea6\u5b66\u4e60\u7684\u9ed8\u8ba4\u5730\u57fa\uff0c\u4ece\u89c6\u89c9\u7684CNN\u5230NLP\u7684Transformer\u518d\u5230\u5927\u6a21\u578b\uff0c\u5904\u5904\u90fd\u6709\u6b8b\u5dee\u8fde\u63a5\u7684\u5f71\u5b50\u3002<\/p>\n

\u76ee\u524d\u5f15\u7528\u91cf\u5df2\u8d85\u8fc732\u4e07\u3002<\/p>\n

\u53e6\u4e00\u7bc7\u662fYOLO v1\u7684\u539f\u59cb\u8bba\u6587\u3002<\/p>\n

\u25b3\u56fe\u7247\u6765\u81eaCVPR2026\u5b98\u65b9X\u8d26\u53f7<\/p>\n

\u5728\u5b83\u4e4b\u524d\uff0c\u68c0\u6d4b\u4e3b\u6d41\u662f\u300c\u5148\u5708\u5019\u9009\u6846\u3001\u518d\u9010\u4e2a\u5206\u7c7b\u300d\u7684R-CNN\u8def\u7ebf\u3002<\/p>\n

YOLO\u628a\u68c0\u6d4b\u4e00\u628a\u6539\u5199\u6210\u7aef\u5230\u7aef\u56de\u5f52\uff0c\u6574\u5f20\u56fe\u53ea\u770b\u4e00\u6b21\u5c31\u76f4\u63a5\u8f93\u51fa\u300c\u54ea\u91cc\u6709\u4ec0\u4e48\u300d\u3002\u5728Titan X\u4e0a\u8dd1\u523045 FPS\u3001Fast\u7248\u672c\u66f4\u662f155 FPS\uff0c\u7b2c\u4e00\u6b21\u8ba9\u300c\u5b9e\u65f6\u68c0\u6d4b\u300d\u771f\u6b63\u53ef\u7528\uff0c\u76f4\u63a5\u50ac\u751f\u4e86SSD\u3001RetinaNet\u548c\u540e\u6765\u6574\u4e2aYOLO\u5bb6\u65cf\u3002<\/p>\n

\u76ee\u524d\u5f15\u7528\u91cf\u63a5\u8fd18\u4e07\u3002<\/p>\n

\u83b7\u5956\u8bba\u6587\u300aNative and Compact Structured Latents for 3D Generation\u300b\uff0c\u6765\u81ea\u6e05\u534e\u5927\u5b66\u3001\u5fae\u8f6f\u7814\u7a76\u9662\u3001\u4e2d\u79d1\u5927\u4e0eMicrosoft AI\u3002<\/p>\n

\u5b83\u6709\u4e2a\u66f4\u54cd\u4eae\u7684\u540d\u5b57\uff1aTRELLIS.2\u3002<\/p>\n

\u25b3\u56fe\u7247\u6765\u81eaCVPR2026\u5b98\u65b9X\u8d26\u53f7<\/p>\n

\u5b83\u8981\u89e3\u51b3\u7684\uff0c\u662f\u5f53\u524d3D\u751f\u6210\u300c\u753b\u9762\u8d8a\u6765\u8d8a\u771f\u3001\u4f46\u8868\u793a\u65b9\u6cd5\u62d6\u540e\u817f\u300d\u7684\u5c34\u5c2c\uff1a\u590d\u6742\u62d3\u6251\u3001\u7cbe\u7ec6\u5916\u89c2\u603b\u662f\u6293\u4e0d\u4f4f\u3002<\/p>\n

\u56e2\u961f\u7684\u89e3\u6cd5\u662f\u4e00\u79cd\u53ebO-Voxel\u7684\u65b0\u578b\u7a00\u758f\u4f53\u7d20\u7ed3\u6784\uff0c\u628a\u51e0\u4f55\u548c\u5916\u89c2\uff08\u8fdePBR\u6750\u8d28\u53c2\u6570\u90fd\u7b97\u4e0a\uff09\u540c\u65f6\u7f16\u8fdb\u53bb\uff0c\u80fd\u7a33\u7a33\u5efa\u6a21\u5f00\u653e\u9762\u3001\u975e\u6d41\u5f62\u3001\u5168\u5c01\u95ed\u7b49\u5404\u79cd\u5201\u94bb\u62d3\u6251\u3002<\/p>\n

\u518d\u914d\u4e00\u4e2a\u7a00\u758f\u538b\u7f29VAE\u628a\u5b83\u538b\u6210\u7d27\u51d1\u7684\u6f5c\u5728\u7a7a\u95f4\uff0c\u6700\u540e\u8bad\u4e86\u4e2a40\u4ebf\u53c2\u6570\u7684flow-matching\u5927\u6a21\u578b\u6765\u505a\u56fe\u751f3D\u3002<\/p>\n

\u89c4\u6a21\u867d\u5927\uff0c\u63a8\u7406\u5374\u5f88\u5feb\uff0c\u751f\u6210\u8d44\u4ea7\u7684\u51e0\u4f55\u548c\u6750\u8d28\u8d28\u91cf\u90fd\u660e\u663e\u7529\u5f00\u73b0\u6709\u6a21\u578b\u3002<\/p>\n

\u300aChordEdit: One-Step Low-Energy Transport for Image Editing\u300b\uff0c\u6765\u81ea\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66\u3001\u60e0\u5dde\u5b66\u9662\u3001\u6df1\u5733\u5927\u5b66\u548c\u5317\u4eac\u5927\u5b66\uff0c\u540c\u65f6\u4e5f\u662f\u4eca\u5e74\u7684Oral\u3002<\/p>\n

\u25b3\u56fe\u7247\u6765\u81eaCVPR2026\u5b98\u65b9X\u8d26\u53f7<\/p>\n

\u5b83\u89e3\u51b3\u7684\u662f\u4e00\u6b65\u5f0f\uff08\u5355\u6b65\u63a8\u7406\uff09\u6587\u751f\u56fe\u6a21\u578b\u7684\u75db\u70b9\uff1a\u8fd9\u7c7b\u6a21\u578b\u751f\u6210\u98de\u5feb\uff0c\u4f46\u60f3\u62ff\u6765\u505a\u6587\u672c\u5f15\u5bfc\u7684\u56fe\u50cf\u7f16\u8f91\uff0c\u786c\u538b\u6210\u4e00\u6b65\u5f80\u5f80\u5c31\u5d29\u2014\u2014\u7269\u4f53\u53d8\u5f62\u3001\u8be5\u4fdd\u7559\u7684\u5730\u65b9\u4e5f\u8ddf\u7740\u4e71\u3002<\/p>\n

\u56e2\u961f\u628a\u56fe\u50cf\u7f16\u8f91\u91cd\u65b0\u8868\u8ff0\u6210\u4e00\u4e2a\u6700\u4f18\u4f20\u8f93\u95ee\u9898\uff1a\u5728\u6e90\u6587\u672c\u548c\u76ee\u6807\u6587\u672c\u5404\u81ea\u5b9a\u4e49\u7684\u5206\u5e03\u4e4b\u95f4\u505a\u4f20\u8f93\uff0c\u518d\u57fa\u4e8e\u52a8\u6001\u6700\u4f18\u4f20\u8f93\u7406\u8bba\u63a8\u51fa\u4e00\u5957\u4f4e\u80fd\u91cf\u63a7\u5236\u7b56\u7565\uff0c\u8ba9\u7f16\u8f91\u573a\u66f4\u5e73\u6ed1\u3001\u66f4\u7a33\uff0c\u4e00\u5927\u6b65\u5c31\u80fd\u8d70\u5b8c\u3002<\/p>\n

\u6700\u7ec8\u6548\u679c\u662f\uff1a\u8fd9\u4e9b\u300c\u5feb\u4f46\u96be\u7f16\u8f91\u300d\u7684\u6a21\u578b\uff0c\u7b2c\u4e00\u6b21\u771f\u6b63\u5177\u5907\u4e86\u5b9e\u65f6\u7f16\u8f91\u80fd\u529b\u3002<\/p>\n

\u5e74\u8f7b\u5b66\u8005\u5956\uff08Young Researcher Award\uff09\uff0c\u9881\u7ed9\u535a\u58eb\u6bd5\u4e1a7\u5e74\u5185\u3001\u5df2\u5f62\u6210\u4ee3\u8868\u6027\u7814\u7a76\u65b9\u5411\u7684\u9752\u5e74\u5b66\u8005\u3002\u4eca\u5e74\u83b7\u5956\u7684\u6709\u4e24\u4f4d\u3002<\/p>\n

\u4e00\u4f4d\u662fDeepak Pathak\uff0cCMU\u526f\u6559\u6388\uff0c\u6a2a\u8de8CV\u3001\u673a\u5668\u5b66\u4e60\u4e0e\u673a\u5668\u4eba\uff0c\u7814\u7a76\u673a\u5668\u4eba\u5982\u4f55\u5728\u771f\u5b9e\u4e16\u754c\u91cc\u5b66\u4e60\u3001\u611f\u77e5\u4e0e\u884c\u52a8\u3002<\/p>\n

\u53e6\u4e00\u4f4d\u662fVincent Sitzmann\uff0cMIT\u526f\u6559\u6388\uff0c\u4e3b\u653b\u795e\u7ecf\u573a\u666f\u8868\u793a\u30013D\u89c6\u89c9\u3001\u4e16\u754c\u6a21\u578b\u7b49\uff0c\u76ee\u6807\u662f\u8ba9\u673a\u5668\u50cf\u4eba\u4e00\u6837\u7406\u89e3\u548c\u6a21\u62df\u4e16\u754c\u3002<\/p>\n

\u25b3\u56fe\u7247\u6765\u81eaCVPR2026\u5b98\u65b9X\u8d26\u53f7<\/p>\n

Thomas S. Huang\u7eaa\u5ff5\u5956\uff0c\u8868\u5f70\u5728\u7814\u7a76\u3001\u6559\u5b66\/\u6307\u5bfc\u4e0e\u793e\u533a\u670d\u52a1\u4e0a\u582a\u79f0\u5178\u8303\u7684\u5b66\u8005\u3002<\/p>\n

\u4eca\u5e74\u6388\u4e88\u5eb7\u5948\u5c14\u5927\u5b66\u6559\u6388Noah Snavely\uff08\u8ba1\u7b97\u673a\u89c6\u89c9\u4e0e\u56fe\u5f62\u5b66\uff09\u3002<\/p>\n

\u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0c\u8fd9\u4e2a\u5956\u672c\u8eab\u6b63\u662f\u4e3a\u7eaa\u5ff5\u5df2\u6545\u534e\u88d4\u8ba1\u7b97\u673a\u89c6\u89c9\u5148\u9a71\u9ec4\u7166\u6d9b\uff08Thomas S. Huang\uff09\u800c\u8bbe\u3002<\/p>\n

\u8fd9\u5c4aCVPR\uff0c\u534e\u4eba\u542b\u91cf\u4f9d\u7136\u5f88\u9ad8\u3002<\/p>\n

\u8fd9\u79cd\u5b58\u5728\u611f\uff0c\u4ece\u6295\u5ba1\u4e24\u7aef\u7684\u6570\u636e\u5c31\u80fd\u770b\u51fa\u6765\uff1a\u5728\u4f5c\u8005\u6765\u6e90\u5730\u91cc\uff0c\u4e2d\u56fd\u4ee523233\u4eba\u65ad\u5c42\u7b2c\u4e00\uff0c\u51e0\u4e4e\u662f\u7b2c\u4e8c\u540d\u7f8e\u56fd\uff087556\uff09\u7684\u4e09\u500d\u3002<\/p>\n

\u5ba1\u7a3f\u4eba\u540c\u6837\u662f\u4e2d\u56fd\uff0810687\uff09\u4eba\u6570\u66f4\u591a\u3002<\/p>\n

\u25b3\u56fe\u7247\u6765\u81eaCVPR2026\u5b98\u65b9X\u8d26\u53f7<\/p>\n

\u518d\u770b\u5404\u8def\u83b7\u5956\u8bba\u6587\uff0c\u534e\u4eba\u9762\u5b54\u4e5f\u662f\u5c42\u51fa\u4e0d\u7a77\u3002<\/p>\n

\u6700\u4f73\u8bba\u6587D4RT\u7684\u4e00\u4f5c\u662fDeepMind\u8d44\u6df1\u7814\u7a76\u79d1\u5b66\u5bb6Chuhan Zhang\uff08\u5f20\u695a\u6657\uff09\u3002<\/p>\n

\u5979\u6b64\u524d\u5728\u725b\u6d25\u5927\u5b66\u51e0\u4f55\u7814\u7a76\u7ec4 \uff08VGG\uff09\u83b7\u5f97\u535a\u58eb\u5b66\u4f4d\uff0c\u5bfc\u5e08\u6b63\u662fAndrew Zisserman\uff0c\u7814\u7a76\u65b9\u5411\u8986\u76d6\u89c6\u9891\u7406\u89e3\u3001\u52a8\u60013D\u573a\u666f\u91cd\u5efa\u548c\u751f\u6210\u6a21\u578b\u7684\u81ea\u52a8\u8bc4\u4f30\u3002<\/p>\n

\u6700\u4f73\u8bba\u6587\u7684\u4f5c\u8005\u4e2d\uff0c\u8fd8\u5305\u62ec\u725b\u6d25\u4e0eDeepMind\u7684\u591a\u4f4d\u534e\u4eba\u7814\u7a76\u8005\u3002<\/p>\n

Junyu Xie\uff0c\u540c\u6837\u6765\u81ea\u725b\u6d25VGG\uff0c\u5e08\u4eceAndrew Zisserman\u548c\u8c22\u4f1f\u8fea\u3002D4RT\u6b63\u662f\u4ed62025\u5e74\u590f\u5728DeepMind\u5b9e\u4e60\u671f\u95f4\u5b8c\u6210\u7684\u5de5\u4f5c\u3002<\/p>\n

\u8fd8\u6709Shuyang Sun\u548cJunlin Zhang\uff0c\u5747\u4e3aGoogle DeeoMind\u7814\u7a76\u5458\u3002<\/p>\n

\u800c\u6700\u4f73\u5b66\u751f\u8bba\u6587TRELLIS.2\uff0c\u6574\u652f\u961f\u4f0d\u662f\u5168\u534e\u4eba\u9635\u5bb9\u3002<\/p>\n

\u4e00\u4f5cJianfeng Xiang\uff08\u5411\u5251\u950b\uff09\u662f\u6e05\u534e\u535a\u58eb\u751f\uff0c\u540c\u65f6\u4e5f\u662f\u4e0a\u4e00\u4ee3\u7206\u6b3e3D\u751f\u6210\u6a21\u578bTRELLIS\uff08v1\uff09\u7684\u4e00\u4f5c\u3002<\/p>\n

Xiaoxue Chen\uff08\u9648\u5c0f\u96ea\uff09\uff0c\u6e05\u534e\u5927\u5b66\u4eba\u5de5\u667a\u80fd\u4ea7\u4e1a\u7814\u7a76\u9662\uff08AIR\uff09\u7684\u535a\u58eb\u7814\u7a76\u751f\uff0c\u7814\u7a76\u65b9\u5411\u4e3a\u8ba1\u7b97\u673a\u89c6\u89c9\u3002<\/p>\n

\u901a\u8baf\u4f5c\u8005Jiaolong Yang\uff08\u6768\u86df\u9f99\uff09\u6765\u81ea\u5fae\u8f6f\u4e9a\u7814\u9662\uff0c\u957f\u671f\u6df1\u80153D\u89c6\u89c9\u4e0e\u751f\u6210\u3002<\/p>\n

Sicheng Xu\uff08\u5f90\u601d\u6210\uff09\uff0c\u540c\u6837\u6765\u81ea\u5fae\u8f6f\u4e9a\u7814\u9662\uff0c\u7814\u7a76\u65b9\u5411\u4e3a\u7269\u7406\u4eba\u5de5\u667a\u80fd\u548c\u591a\u6a21\u6001\u3002<\/p>\n

Ruicheng Wang\uff08\u738b\u745e\u7a0b\uff09\uff0c\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u4e0e\u6280\u672f\u5b66\u9662\u7684\u535a\u58eb\u751f\uff0c\u7814\u7a76\u65b9\u5411\u4e3a\u7a7a\u95f4\u667a\u80fd\u3002<\/p>\n

Zelong Lv\uff0c\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u5b66\u9662\u535a\u58eb\u751f\u3002<\/p>\n

Yu Deng\uff08\u9093\u8a89\uff09\uff0c\u5fae\u8f6f\u4e9a\u7814\u9662\u9ad8\u7ea7\u7814\u7a76\u5458\uff0c\u7814\u7a76\u65b9\u5411\u4e3a3D\u89c6\u89c9\u751f\u6210\u3001\u7a7a\u95f4\u7406\u89e3\u548c\u5177\u8eab\u667a\u80fd\u3002<\/p>\n

Hao Zhao\uff08\u8d75\u660a\uff09\uff0c\u6e05\u534e\u5927\u5b66\u667a\u80fd\u4ea7\u4e1a\u7814\u7a76\u9662\uff08AIR\uff09\u52a9\u7406\u6559\u6388\uff0c\u66fe\u4efbIntel Labs China\u7814\u7a76\u79d1\u5b66\u5bb6\u3002\u7814\u7a76\u65b9\u5411\u4e3a\u673a\u5668\u4eba3D\u573a\u666f\u7406\u89e3\u3001\u5177\u8eab\u667a\u80fd\u3001\u81ea\u52a8\u9a7e\u9a76\u3002<\/p>\n

Nicholas Jing Yuan\uff08\u8881\u6676\uff09\uff0c\u5fae\u8f6f\u5168\u7403\u5408\u4f19\u4eba\u3001\u5168\u7403\u8d44\u6df1\u526f\u603b\u88c1\u6280\u672f\u987e\u95ee\uff1bIEEE Fellow\uff0c\u5f15\u752817000+<\/p>\n

\u6b64\u524d\u66fe\u4efb\u534e\u4e3a\u4e91\u4eba\u5de5\u667a\u80fd\u526f\u603b\u88c1\u3001\u9996\u5e2d\u79d1\u5b66\u5bb6\u517c\u8bed\u8a00\u4e0e\u8bed\u97f3\u521b\u65b0\u5b9e\u9a8c\u5ba4\u4e3b\u4efb\u3002\u5728\u5fae\u8f6f\u671f\u95f4\uff0c\u4e3b\u5bfc\u5f00\u53d1\u4e86\u5fae\u8f6f\u5c0f\u51b0\u4eba\u5de5\u667a\u80fd\u751f\u6210\u5185\u5bb9\u6280\u672f\u3002<\/p>\n

\u6700\u4f73\u5b66\u751f\u8bba\u6587\u63d0\u540dChordEdit\uff0c\u5219\u662f\u4e00\u652f\u7eaf\u56fd\u5185\u9ad8\u6821\u73ed\u5e95\uff0c\u751a\u81f3\u5176\u4e2d\u6709\u4e0d\u5c11\u672c\u79d1\u751f\u3002<\/p>\n

\u4e00\u4f5cLiangsi Lu\uff08\u5362\u6881\u53f8\uff09\uff0c\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66\u4fe1\u606f\u4e0e\u8ba1\u7b97\u79d1\u5b66\u4e13\u4e1a\u7684\u672c\u79d1\u751f\uff0c\u7814\u7a76\u65b9\u5411\u4e3a\u8868\u5f81\u5b66\u4e60\u548c\u89c6\u89c9\u751f\u6210\u3002<\/p>\n

\u901a\u8baf\u4f5c\u8005Yang Shi\uff0c\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u5b66\u9662\u7684\u672c\u79d1\u751f\uff0c\u7814\u7a76\u65b9\u5411\u4e3a\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u6570\u636e\u6316\u6398\u3002<\/p>\n

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\u25b3\u56fe\u7247\u6765\u81eaCVPR2026\u5b98\u65b9X\u8d26\u53f7<\/p>\n

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