{"id":161,"date":"2025-10-12T15:13:07","date_gmt":"2025-10-12T07:13:07","guid":{"rendered":"https:\/\/alyname.top\/index.php\/2025\/10\/12\/3dshape2vecset-a-3d-shape-representation-for-neural-fields-and-generative-diffusion-models\/"},"modified":"2025-10-12T15:13:07","modified_gmt":"2025-10-12T07:13:07","slug":"3dshape2vecset-a-3d-shape-representation-for-neural-fields-and-generative-diffusion-models","status":"publish","type":"post","link":"https:\/\/alyname.top\/index.php\/2025\/10\/12\/3dshape2vecset-a-3d-shape-representation-for-neural-fields-and-generative-diffusion-models\/","title":{"rendered":"3DShape2VecSet – A 3D Shape Representation for Neural Fields and Generative Diffusion Models"},"content":{"rendered":"

\u597d\u5bb6\u4f19\uff0c\u6bd4 3DGen \u8fd8\u65e9\u3002\u8fd8\u633a\u957f\uff0c\u53cc\u680f 14 \u9875\u3002<\/p>\n

\u63d0\u51fa\u4e86\u4e00\u79cd\u53eb VecSet \u7684 3D \u8868\u793a\u65b9\u5f0f\u3002<\/p>\n

[2301.11445] 3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models<\/a>\uff082023 \u5e74 1 \u6708\uff09<\/p>\n

\u5c45\u7136\u6709\u4f5c\u8005\u4eb2\u81ea\u8bb2\u89e3\uff0c\u592a\u611f\u52a8\u4e86\u2026\u2026\u3010SIGGRAPH 2023\u30113DShape2VecSet\uff1a\u9762\u5411\u795e\u7ecf\u573a\u548c\u751f\u6210\u6269\u6563 – \u54d4\u54e9\u54d4\u54e9<\/a><\/p>\n

\n
VecSet<\/h5>\n

3D \u538b\u7f29\u8868\u793a\u5e0c\u671b\u505a\u5230\u7684\u4e09\u70b9\uff1a\u4f53\u79ef\u5c0f\u3001\u538b\u7f29\u5feb\u3001\u91cd\u5efa\u51c6\u786e\u6027\u9ad8\u3002\u6839\u636e\u53ef\u5b66\u4e60\u7684\u5185\u5bb9\uff08\u53ef\u64cd\u4f5c\u7a7a\u95f4\uff09\u548c\u6062\u590d\u4fe1\u606f\u7684\u65b9\u5f0f\u53ef\u4ee5\u628a\u8868\u793a\u5f62\u5f0f\u5206\u4e3a\u4e09\u79cd\uff1a\u7eaf\u663e\u5f0f\u8868\u793a\u3001\u7eaf\u9690\u5f0f\u8868\u793a\u3001\u663e\u9690\u6df7\u5408\u8868\u793a\u3002<\/p>\n

\u7eaf\u663e\u5f0f\u8868\u793a\u7684\u5178\u578b\u4f8b\u5b50\uff1a\u641e\u4e00\u4e2a\u7f51\u683c\uff0c\u8bb0\u5f55\u6bcf\u4e2a\u683c\u70b9\u7684\u5404\u79cd\u4fe1\u606f\uff0c\u7136\u540e\u8981\u67e5\u8be2\u4e00\u4e2a\u70b9\u7684\u65f6\u5019\u76f4\u63a5\u5728\u7f51\u683c\u91cc\u63d2\u503c\u3002<\/p>\n

\u7eaf\u9690\u5f0f\u8868\u793a\u7684\u5178\u578b\u4f8b\u5b50\u5c31 NeRF\uff0c\u6574\u4e2a\u7f51\u7edc\u90fd\u662f\u53ef\u5b66\u4e60\u7684\uff0c\u7136\u540e\u8f93\u8fdb\u53bb\u4e00\u4e2a\u5750\u6807\u5c31\u5f97\u5230\u5b83\u7684\u989c\u8272\u7b49\u4fe1\u606f\u3002<\/p>\n

\u6df7\u5408\u8868\u793a\u7684\u5178\u578b\u4f8b\u5b50\u5c31\u662f\u6211\u4eec\u6240\u719f\u6089\u7684 Triplane \u5566\u3002\u5178\u578b\u505a\u6cd5\u5c31\u662f\u4fdd\u5b58\u4e00\u4e9b\u70b9\u7684\u67d0\u79cd Latent \u7279\u5f81\uff0c\u67e5\u8be2\u4e00\u4e2a\u70b9\u7684\u65f6\u5019\u63d2\u503c\u5f97\u5230\u5b83\u7684\u7279\u5f81\uff0c\u7136\u540e\u8fc7\u4e00\u4e2a Decoder\u3002<\/p>\n

\n

\u622a\u81f3\u76ee\u524d\u90fd\u662f\u5e9f\u8bdd\u3002\u55ef\u3002<\/p>\n<\/blockquote>\n

\u8868\u793a\u4e00\u4e2a 3D \u5f62\u72b6\u65f6\uff0c\u9700\u8981\u5b58\u50a8\u5b83\u7684\u54ea\u4e9b\u4fe1\u606f\uff1f\u53ef\u4ee5\u8003\u8651 Occupancy\uff0c\u8f93\u5165\u4e00\u4e2a\u70b9\u7684\u65f6\u5019\u8f93\u51fa\u5b83\u662f\u5426\u5728\u8fd9\u4e2a\u5f62\u72b6\u5185\u90e8\u3002Occupancy \u7684\u663e\u5f0f\u8868\u793a\u5c31\u662f Voxel\uff1b\u9690\u5f0f\u8868\u793a\u4e5f\u6709\u5f88\u591a\u5de5\u4f5c\u4e86\u3002<\/p>\n

\u5927\u591a\u6570\u60c5\u51b5\u4e0b\uff0c\u7a7a\u95f4\u4e2d\u7edd\u5927\u591a\u6570\u5730\u65b9\u90fd\u662f\u7a7a\u7684\uff0c\u56e0\u6b64\u53ef\u4ee5\u8003\u8651\u5f15\u5165\u7a00\u758f\u6027\u800c\u5728\u7a20\u5bc6\u7684\u5730\u65b9\u591a\u53d6\u70b9\uff0c\u4ee5\u8fdb\u4e00\u6b65\u538b\u7f29\u8868\u793a\uff0c\u63d0\u9ad8\u8868\u793a\u6548\u7387\u3002\u4f5c\u8005\u4e4b\u524d\u4e00\u7bc7\u8bba\u6587\u5f15\u5165\u4e86\u6309\u7a00\u758f\u6027\u5206\u5e03\u7684\u4e0d\u89c4\u5219 grid\uff0c\u5728\u5b83\u4e0a\u9762\u7b97\u7279\u5f81\u7136\u540e\u63d2\u503c\u3002<\/p>\n

\u8fd9\u4efd\u5de5\u4f5c\u5e72\u7684\u4e8b\u60c5\u662f\uff0c\u4e0d\u518d\u91c7\u7528 grid\uff0c\u76f4\u63a5\u7b97\u4e00\u7ec4\u6ca1\u6709\u7a7a\u95f4\u4fe1\u606f\u7684\u7279\u5f81\uff0c\u7136\u540e\u8ba9\u6a21\u578b\u5b66\u6bcf\u4e2a\u70b9\u5e94\u8be5\u4ece\u54ea\u4e9b\u7279\u5f81\u4e0a\u63d2\u503c\uff0c\u5373\uff0c\u53ef\u5b66\u4e60\u7684\u63d2\u503c\u3002<\/p>\n

\u5373\uff0c\u4e4b\u524d\u7684\u5de5\u4f5c\u90fd\u662f\uff0c\u67e5\u8be2\u4e00\u4e2a\u70b9\uff0c\u6839\u636e\u67d0\u4e9b\u89c4\u5219\u627e\u4e00\u7ec4\u70b9\u63d2\u503c\uff1bVecSet \u5e72\u7684\u662f\uff0c\u67e5\u8be2\u4e00\u4e2a\u70b9\uff0c\u6a21\u578b\u81ea\u5df1\u627e\u4e00\u7ec4\u70b9\u63d2\u503c\u3002<\/p>\n

\u8fd9\u91cc\u7684\u5b66\u4e60\u7ed3\u6784\u662f Cross Attention\u3002\u4e3a\u4ec0\u4e48\uff1f<\/p>\n

Cross Attention \u4f1a\u67e5 <\/g><\/g><\/g><\/g><\/g><\/svg>Q<\/mi>,<\/mo>K<\/mi><\/math><\/mjx-assistive-mml><\/mjx-container> \u76f8\u4f3c\u6027\u3002\u5047\u8bbe\u628a\u5f85\u67e5\u8be2\u70b9\u8f93\u5165\u4f5c <\/g><\/g><\/g><\/svg>Q<\/mi><\/math><\/mjx-assistive-mml><\/mjx-container>\uff0c\u7136\u540e VecSet \u662f\u4e00\u5806 <\/g><\/g><\/g><\/g><\/g><\/svg>K<\/mi>\u2212<\/mo>V<\/mi><\/math><\/mjx-assistive-mml><\/mjx-container> \u5bf9\uff0c\u90a3 Cross Attention \u4f1a\u975e\u5e38\u9002\u5408\u3002<\/p>\n

\n

Cross Attention \u7684\u5f3a\u5927\u4e4b\u5904\uff1a\u53ef\u4ee5\u628a\u4e00\u79cd\u5f62\u5f0f\u7684\u8f93\u5165\u8f6c\u5316\u4e3a\u53e6\u4e00\u79cd\u5f62\u5f0f\u7684\u8f93\u51fa\u3002\u5177\u4f53\u5730\uff0c\u53ef\u4ee5\u628a\u5f62\u5982 <\/g><\/g><\/g><\/g><\/g><\/svg>Q<\/mi>,<\/mo>K<\/mi><\/math><\/mjx-assistive-mml><\/mjx-container> \u7684\u8f93\u5165\u8f6c\u5316\u4e3a\u5f62\u5982 <\/g><\/g><\/g><\/svg>V<\/mi><\/math><\/mjx-assistive-mml><\/mjx-container> \u7684\u8f93\u51fa\u3002<\/p>\n<\/blockquote>\n

\u5206\u4e24\u6b65\u3002\u7b2c\u4e00\u6b65\u8bad\u4e00\u5bf9 Encoder-Decoder\uff0c\u5176\u80fd\u5728 3D \u5f62\u72b6\u548c VecSet \u95f4\u4e92\u76f8\u8f6c\u5316\u3002<\/p>\n

\u7b2c\u4e8c\u6b65\u57fa\u4e8e\u5b83\u4eec\u8bad Diffusion \u6a21\u578b\u3002<\/p>\n

\"Pasted
\n\u8fd9\u4e2a\u56fe\u5f88\u5177\u6709\u8ff7\u60d1\u6027\uff01\uff01\u6000\u7591\u4f5c\u8005\u6839\u672c\u4e0d\u4f1a\u753b\u56fe\uff01\uff01<\/p>\n

\u51e0\u4e2a\u8ff7\u60d1\u70b9\uff1a<\/p>\n

    \n
  • \u56fe\u4e2d\u51fa\u73b0\u4e86\u4e24\u4e2a Cross Diffusion\uff0c\u8fd9\u4e24\u4e2a Cross Diffusion \u7684\u76ee\u7684\u662f\u5b8c\u5168\u4e0d\u4e00\u6837\u7684\uff01\u524d\u8005\u7528\u4e8e\u628a\u70b9\u4e91\u4fe1\u606f\u7f16\u7801\u6210 VecSet\uff0c\u540e\u8005\u7528\u4e8e\u901a\u8fc7\u5927\u91cf\u67e5\u8be2\u70b9\u4ece VecSet \u8fd8\u539f\u51fa\u70b9\u4e91\u4fe1\u606f\u3002<\/li>\n
  • \u4e2d\u95f4\u90a3\u4e2a KL Regularization \u7684\u76ee\u7684\u662f\u538b\u7f29\uff01\u7c7b\u4f3c LDM \u6700\u5f00\u5934\u90a3\u4e2a VAE\u3002<\/li>\n<\/ul>\n
    \u5176\u5b83<\/h5>\n

    \u4f5c\u8005\u63d0\u5230\u4e24\u79cd\u9ad8\u5206\u8fa8\u7387 2D Diffusion \u8fdb\u8def\uff1a\u57fa\u4e8e\u4f4e\u7ef4 Latent \u7a7a\u95f4\uff08\u5982 LDM\uff09\u548c\u4f7f\u7528\u591a\u4e2a\u6a21\u578b\u8fdb\u884c\u8d85\u5206\u3002\u4f5c\u8005\u5b9e\u9a8c\u5f97\u5230\u7684\u7ed3\u8bba\u662f\uff08\u5728 3D \u573a\u666f\u4e0b\uff09\uff0cLatent \u7a7a\u95f4\u7684\u60f3\u6cd5\u5b9e\u8df5\u4e2d\u66f4\u4e3a\u4f18\u79c0\u3002<\/p>\n

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

    \u597d\u5bb6\u4f19\uff0c\u6bd4 3DGen \u8fd8\u65e9\u3002\u8fd8\u633a\u957f\uff0c\u53cc\u680f 14 \u9875\u3002 \u63d0\u51fa\u4e86\u4e00\u79cd\u53eb VecSet \u7684 3D \u8868\u793a\u65b9\u5f0f\u3002 [2 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[],"class_list":["post-161","post","type-post","status-publish","format-standard","hentry","category-research"],"_links":{"self":[{"href":"https:\/\/alyname.top\/index.php\/wp-json\/wp\/v2\/posts\/161","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/alyname.top\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/alyname.top\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/alyname.top\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/alyname.top\/index.php\/wp-json\/wp\/v2\/comments?post=161"}],"version-history":[{"count":0,"href":"https:\/\/alyname.top\/index.php\/wp-json\/wp\/v2\/posts\/161\/revisions"}],"wp:attachment":[{"href":"https:\/\/alyname.top\/index.php\/wp-json\/wp\/v2\/media?parent=161"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/alyname.top\/index.php\/wp-json\/wp\/v2\/categories?post=161"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/alyname.top\/index.php\/wp-json\/wp\/v2\/tags?post=161"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}