{"id":1422,"date":"2022-02-02T13:20:49","date_gmt":"2022-02-02T05:20:49","guid":{"rendered":"https:\/\/www.caiqinyi.cn\/?p=1422"},"modified":"2023-01-23T18:03:23","modified_gmt":"2023-01-23T10:03:23","slug":"2022_research_program_outlook","status":"publish","type":"post","link":"https:\/\/www.caiqinyi.cn\/index.php\/2022\/02\/02\/2022_research_program_outlook\/","title":{"rendered":"2022\u5e74\u7814\u7a76\u8ba1\u5212\u5c55\u671b"},"content":{"rendered":"<p><script type=\"text\/javascript\" async src=\"https:\/\/www.caiqinyi.cn\/wp-content\/MathJax\/MathJax.js?config=TeX-AMS_CHTML\">\n<\/script><br \/>\n<script type=\"text\/x-mathjax-config\">\n    MathJax.Hub.Config({\n        tex2jax: {inlineMath: [['$','$']]},\n        TeX: {equationNumbers: {autoNumber: [\"AMS\"], useLabelIds: true}},\n        \"HTML-CSS\": {linebreaks: {automatic: true}},\n        SVG: {linebreaks: {automatic: true}}\n    });\n<\/script><\/p>\n<p>\u65b0\u5e74\u521d\u59cb, \u5b8c\u6210\u4e86\u6570\u5b57\u51e0\u4f55\u5904\u7406\u7684\u8bfe\u7a0b\u7b14\u8bb0\u540e\u7a81\u7136\u6709\u70b9\u8ff7\u832b, \u4e0d\u77e5\u9053\u8be5\u600e\u4e48\u8d70. \u56e0\u6b64\u603b\u7ed3\u4e00\u4e0b2021\u5e74\u79ef\u7d2f\u7684\u4e00\u4e9b\u60f3\u6cd5, \u5e0c\u671b\u80fd\u4e3a2022\u5e74\u7684\u7814\u7a76\u8ba1\u5212\u786e\u5b9a\u4e00\u4e2a\u5927\u81f4\u7684\u65b9\u5411. \u56fd\u5bb6\u53d1\u5c55\u9700\u8981\u6307\u5b9a\u6218\u7565\u65b9\u9488, \u4e2a\u4eba\u63d0\u5347\u4e5f\u4e0d\u4f8b\u5916.<\/p>\n<p><!--more--><\/p>\n<p>\u4eca\u5e74\u4f9d\u65e7\u5e0c\u671b\u8d70\u4e24\u6761\u8def, \u5206\u522b\u662f\u4ee3\u6570\u62d3\u6251+\u5e94\u7528\u7684\u8def\u7ebf\u4e0e\u51e0\u4f55+\u5e94\u7528+\u8ffd\u70ed\u70b9\u503e\u5411\u7684\u8def\u7ebf.<\/p>\n<p><strong>\u4ee3\u6570\u62d3\u6251+\u5e94\u7528\u7684\u8def\u7ebf<\/strong><\/p>\n<p>\u8bba\u6587Dey T K, Fan F, Wang Y. An efficient computation of handle and tunnel loops via Reeb graphs[J]. ACM Transactions on Graphics (TOG), 2013, 32(4): 1-10, \u5176\u5b9e\u5df2\u7ecf\u53ef\u4ee5\u5f00\u59cb\u770b\u8d77\u6765\u4e86, \u540c\u8c03\u7684\u90e8\u5206\u5e94\u8be5\u90fd\u5df2\u7ecf\u5b66\u5b8c, \u5728\u770b\u7684\u8fc7\u7a0b\u4e2d\u5176\u5b9e\u4e5f\u53ef\u4ee5\u67e5\u6f0f\u8865\u7f3a. \u4ee3\u6570\u62d3\u6251\u7684\u6559\u6750\u8ba1\u5212\u8fd8\u662f\u653e\u5230\u7761\u524d\u65f6\u95f4\u518d\u770b, \u4e89\u53d6\u6bcf\u5929\u62bd\u51fa15\u5206\u949f\u5de6\u53f3, \u800c\u8ba1\u7b97\u5171\u5f62\u51e0\u4f55\u7684\u6559\u6750\u5219\u53ef\u80fd\u4f1a\u653e\u5230\u660e\u5e74\u518d\u770b, \u6bd5\u7adf\u4e2a\u4eba\u611f\u89c9\u5982\u679c\u80fd\u5728\u4eca\u5e74\u5b8c\u6210\u5b66\u5b8c\u4e66\u4e0a\u5185\u5bb9\u7684\u76ee\u6807\u4e5f\u8fd8\u4e0d\u9519\u4e86. \u4eca\u5e74\u7ed9\u6211\u6700\u5927\u9f13\u821e\u7684\u4fbf\u662fUE5\u4e2d\u7528\u5230\u7684Metis\u5e93, \u8d70\u8fd9\u6761\u8def\u4e0d\u5e94\u8be5\u8003\u8651\u5f53\u4e0b\u5728\u6e38\u620f\u5f00\u53d1\u4e2d\u7684\u5e94\u7528, \u7eaf\u7cb9\u4ee5\u4ee3\u7801\u8868\u793a\u4ee3\u6570\u62d3\u6251\u4e3a\u4e3b.<\/p>\n<p><strong>\u51e0\u4f55+\u5e94\u7528+\u8ffd\u70ed\u70b9\u503e\u5411\u7684\u8def\u7ebf<\/strong><\/p>\n<p>\u7531\u4e8e\u4ee3\u6570\u62d3\u6251\u5728\u6e38\u620f\u5f00\u53d1\u4e2d\u7684\u5e94\u7528\u5b9e\u5728\u6781\u5c11, \u4e3a\u4e86\u5de5\u4f5c\u4e0a\u7684\u53d1\u5c55, \u8fd8\u662f\u9700\u8981\u629b\u5f03\u4e00\u70b9\u7406\u60f3\u4e3b\u4e49. \u6e32\u67d3\u65b9\u9762\u5e94\u8be5\u4e0d\u4f1a\u6df1\u5165, \u4f46\u662f\u6e32\u67d3\u7684\u539f\u7406\u8fd8\u662f\u9700\u8981\u77e5\u9053, \u56e0\u6b64<strong>\u8f6f\u5149\u6805\u8fd8\u662f\u9700\u8981\u4f18\u5148\u5199\u5b8c<\/strong>. \u5143\u5b87\u5b99\u662f2021\u5e74\u7a81\u7136\u5174\u8d77\u7684\u6982\u5ff5, \u4f9d\u968f\u5143\u5b87\u5b99\u7684\u5174\u8d77, \u5f88\u591a\u516c\u53f8\u5f00\u59cb\u89c4\u5212\u5143\u5b87\u5b99\u6e32\u67d3\u5f15\u64ce. \u7531\u4e8e\u5143\u5b87\u5b99\u5c06\u771f\u5b9e\u4e16\u754c\u4e0e\u865a\u62df\u4e16\u754c\u76f8\u878d\u5408, \u51e0\u4f55\u6570\u636e\u91cf\u5fc5\u7136\u4f1a\u7a7a\u524d\u5e9e\u5927. \u7269\u4f53\u662f\u4ec0\u4e48\u5f62\u72b6? \u5982\u4f55\u65e2\u7701\u7a7a\u95f4\u53c8\u7cbe\u786e\u5730\u8868\u793a\u8fd9\u4e2a\u5f62\u72b6? \u5982\u4f55\u4ece\u96f6\u8d77\u6b65\u4e3a\u6211\u5fc3\u4e2d\u6240\u60f3\u7684\u4e00\u4e2a\u5f62\u72b6\u5efa\u6a21? \u5982\u4f55\u7f16\u8f91\u73b0\u6709\u7684\u5f62\u72b6\u8ba9\u4ed6\u7b26\u5408\u6211\u7684\u8981\u6c42\u4e0e\u76ee\u7684? \u8fd9\u662f\u51e0\u4f55(\u4e3b\u8981\u5305\u62ecGeometry Processing, Geometric Modeling) \u8981\u89e3\u51b3\u7684\u95ee\u9898. \u800c\u5143\u5b87\u5b99\u4e2d\u7684\u5b9e\u65f6\u6e32\u67d3, \u5f88\u5927\u7a0b\u5ea6\u4e0a\u8981\u5bf9\u73b0\u6709\u7684\u7528\u4e8e\u6e32\u67d3\u7684\u51e0\u4f55\u8868\u793a\u65b9\u6cd5\u505a\u51fa\u6539\u53d8.<br \/>\n$\\cdot$ <strong>Mesh Shader.<\/strong> \u8fd9\u4e2a\u8868\u793a\u65b9\u6cd5\u53ef\u4ee5\u8bf4\u5df2\u7ecf\u843d\u5730(\u53c2\u8003Nanite), \u5e76\u4e14\u5df2\u7ecf\u88ab\u4e1a\u754c\u6240\u9a8c\u8bc1\u4e86, \u6240\u4ee5\u4eca\u5e74\u5e94\u8be5\u4e0d\u4f1a\u82b1\u592a\u591a\u65f6\u95f4\u5728\u8fd9\u4e2a\u65b9\u6848\u4e0a, \u8fd8\u662f\u5e0c\u671b\u80fd\u591f\u63a2\u7d22\u5176\u5b83\u51e0\u4f55\u8868\u793a\u65b9\u6848.<br \/>\n$\\cdot$ <strong>Geometry Image.<\/strong> \u8fd9\u4e2a\u51e0\u4f55\u8868\u793a\u65b9\u6cd5\u5728Nanite\u6e90\u7801\u88ab\u6252\u4e4b\u524d\u8fd8\u662f\u88ab\u8bb8\u591a\u77e5\u4e4e\u5927\u4f6c\u770b\u597d\u7684, \u867d\u7136\u73b0\u5b9e\u53ef\u80fd\u6709\u70b9\u6253\u8138\u2026\u2026 \u987e\u8001\u5e08\u4e5f\u4e00\u518d\u5728\u4ed6\u7684\u6587\u7ae0\u5f3a\u8c03\u8bf4Nanite\u662f\u57fa\u4e8e\u4ed6\u63d0\u51fa\u7684Geometry Image\u601d\u60f3\u7684, \u4f46\u6211\u6000\u7591\u4ed6\u6839\u672c\u6ca1\u6709\u53bb\u770b\u8fc7Nanite\u6e90\u7801\u6216\u8005\u5206\u4eab, \u7eaf\u7cb9\u5c5e\u4e8e\u7eb8\u4e0a\u8c08\u5175, \u56e0\u4e3aNanite\u662f\u57fa\u4e8eMesh Shader\u65b9\u6848\u63d0\u51fa\u7684\u2026\u2026 Geometry Image\u53ef\u80fd\u4eca\u5e74\u4e0d\u4f1a\u53bb\u7814\u7a76, \u56e0\u4e3a\u76ee\u524d\u8fd8\u6ca1\u6709\u76f8\u5173\u7684Demo\u53ef\u4f9b\u5b66\u4e60, \u4eca\u5e74\u8fd8\u662f\u60f3\u7740\u4ee5\u5b66\u4e60\u4e3a\u4e3b, \u7814\u7a76\u4e3a\u8f85.<br \/>\n$\\cdot$ <strong>\u4f53\u7d20.<\/strong> \u8fd9\u662f\u88ab<em>\u63a2\u5bfb\u53ef\u80fd<\/em>\u4e0e<em>Milo Yip<\/em>\u4e24\u4f4d\u77e5\u4e4e\u5927\u4f6c\u770b\u597d\u7684\u4e00\u79cd\u51e0\u4f55\u8868\u793a\u65b9\u6cd5, \u800c\u4e14<em>\u63a2\u5bfb\u53ef\u80fd<\/em>\u5927\u4f6c\u4e5f\u653e\u51fa\u4e86\u81ea\u5df1\u7684\u4ed3\u5e93\u5730\u5740\u4ee5\u4f9b\u5b66\u4e60, \u5c3d\u7ba1\u662f\u57fa\u4e8eMetal\u5f00\u53d1\u7684\u4e00\u4e2a\u5f15\u64ce, \u4f46\u611f\u89c9\u8fd8\u662f\u53ef\u4ee5\u7528\u4e8e\u53c2\u8003. <strong>\u5728\u5199\u5b8c\u81ea\u5df1\u7684\u8f6f\u5149\u6805\u4ee5\u540e, \u5e94\u8be5\u4f1a\u9009\u62e9DX12\u8fdb\u884c\u4f53\u7d20\u5f15\u64ce\u7684\u5f00\u53d1\u5c1d\u8bd5.<\/strong><br \/>\n$\\cdot$ <strong>SDF.<\/strong> \u76ee\u524dSDF\u8fd8\u662f\u6bd4\u8f83\u591a\u5730\u5728\u4f53\u7d20\u4e0a\u6784\u5efa\u7684, \u5982\u53bb\u5e741\u6708\u4efd\u82f1\u4f1f\u8fbe\u9996\u6b21\u5b9e\u73b0SDF\u5b9e\u65f63D\u6e32\u67d3, \u4fbf\u662f\u4f7f\u7528\u7a00\u758f\u4f53\u7d20\u516b\u53c9\u6811\u8fdb\u884c\u7f16\u7801. \u56e0\u6b64, \u60f3\u8981\u7814\u7a76SDF, \u8fd8\u662f\u5e94\u8be5\u5148\u719f\u6089\u4f53\u7d20. \u7c7b\u4f3c\u5730\u8fd8\u6709Level Set\u4e0eReeb Graph, \u4eca\u540e\u90fd\u4f1a\u8003\u8651\u7814\u7a76.<br \/>\n$\\cdot$ <strong>PCG.<\/strong> <em>qbkivlin<\/em>\u5927\u4f6c\u5728\u77e5\u4e4e\u4e0a\u7ed9\u6211\u63a8\u8350\u4e86Arxiv\u4e0a\u7684\u4e00\u7bc7\u6587\u7ae0Differential Geometry in Neural Implicits, \u8c8c\u4f3c\u6709\u671b\u89e3\u51b3PCG\u8fc7\u7a0b\u4e2d\u6570\u636e\u5931\u771f\u7684\u95ee\u9898(Mesh\u9762\u6570\u8fc7\u9ad8\u6216\u8d34\u56fe\u7cbe\u5ea6\u4e0d\u8db3). \u5927\u6982\u770b\u4e86\u4e00\u4e0b\u6587\u7ae0, \u662f\u5c06\u79bb\u6563\u5fae\u5206\u51e0\u4f55\u7528\u4e8e\u795e\u7ecf\u7f51\u7edc\u4e2d\u7684, \u5e76\u4e0d\u662f\u592a\u611f\u5192, \u4eca\u5e74\u5e94\u8be5\u4e5f\u4e0d\u4f1a\u6df1\u5165\u7814\u7a76, \u4f46\u8fd8\u662f\u5341\u5206\u671f\u5f85<em>qbkivlin<\/em>\u5927\u4f6c\u5728\u8fd9\u65b9\u9762\u7684\u5de5\u4f5c\u6210\u679c\u7684\u5206\u4eab.<\/p>\n<p>\u603b\u4e4b, \u65b0\u7684\u4e00\u5e74, Fighting And Enjoy!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u65b0\u5e74\u521d\u59cb, \u5b8c\u6210\u4e86\u6570\u5b57\u51e0\u4f55\u5904\u7406\u7684\u8bfe\u7a0b\u7b14\u8bb0\u540e\u7a81\u7136\u6709\u70b9\u8ff7\u832b, \u4e0d\u77e5\u9053\u8be5\u600e\u4e48\u8d70. \u56e0\u6b64\u603b\u7ed3\u4e00\u4e0b2021\u5e74\u79ef\u7d2f\u7684\u4e00\u4e9b\u60f3 &hellip; <a href=\"https:\/\/www.caiqinyi.cn\/index.php\/2022\/02\/02\/2022_research_program_outlook\/\" class=\"more-link\">\u7ee7\u7eed\u9605\u8bfb<span class=\"screen-reader-text\">2022\u5e74\u7814\u7a76\u8ba1\u5212\u5c55\u671b<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"_links":{"self":[{"href":"https:\/\/www.caiqinyi.cn\/index.php\/wp-json\/wp\/v2\/posts\/1422"}],"collection":[{"href":"https:\/\/www.caiqinyi.cn\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.caiqinyi.cn\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.caiqinyi.cn\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.caiqinyi.cn\/index.php\/wp-json\/wp\/v2\/comments?post=1422"}],"version-history":[{"count":12,"href":"https:\/\/www.caiqinyi.cn\/index.php\/wp-json\/wp\/v2\/posts\/1422\/revisions"}],"predecessor-version":[{"id":2755,"href":"https:\/\/www.caiqinyi.cn\/index.php\/wp-json\/wp\/v2\/posts\/1422\/revisions\/2755"}],"wp:attachment":[{"href":"https:\/\/www.caiqinyi.cn\/index.php\/wp-json\/wp\/v2\/media?parent=1422"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.caiqinyi.cn\/index.php\/wp-json\/wp\/v2\/categories?post=1422"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.caiqinyi.cn\/index.php\/wp-json\/wp\/v2\/tags?post=1422"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}