{"id":11473,"date":"2022-12-31T20:10:00","date_gmt":"2022-12-31T12:10:00","guid":{"rendered":"http:\/\/139.9.1.231\/?p=11473"},"modified":"2023-01-28T15:13:37","modified_gmt":"2023-01-28T07:13:37","slug":"nerfq","status":"publish","type":"post","link":"http:\/\/139.9.1.231\/index.php\/2022\/12\/31\/nerfq\/","title":{"rendered":"NeRF\uff1a\u7528\u6df1\u5ea6\u5b66\u4e60\u5b8c\u62103D\u6e32\u67d3\u4efb\u52a1\u7684\u8e7f\u7ea2"},"content":{"rendered":"\n<p>\u8f6c\u81ea\uff1a<a rel=\"noreferrer noopener\" href=\"https:\/\/www.zhihu.com\/people\/chai-sang-ye-pu\" target=\"_blank\">Leviosa<\/a><\/p>\n\n\n\n<h2>1 \u5f15\u8a00<\/h2>\n\n\n\n<p><a href=\"https:\/\/www.matthewtancik.com\/nerf\" target=\"_blank\" rel=\"noreferrer noopener\">NeRF<\/a>\u662f2020\u5e74ECCV\u8bba\u6587\u3002\u4ec5\u4ec5\u8fc7\u53bb\u4e0d\u52302\u5e74\uff0c\u5173\u4e8eNeRF\u7684\u8bba\u6587\u6570\u91cf\u5df2\u7ecf\u5341\u5206\u53ef\u89c2\u3002\u76f8\u6bd4\u4e8e\u8ba1\u7b97\u673a\u89c6\u89c9\uff0c\u5c24\u5176\u662f\u76f8\u6bd4\u4e8e\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\uff0c\u8ba1\u7b97\u673a\u56fe\u5f62\u5b66\u662f\u6bd4\u8f83\u56f0\u96be\u3001\u6bd4\u8f83\u6666\u6da9\u7684\u3002\u88ab\u6df1\u5ea6\u5b66\u4e60\u5e2d\u5377\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u4efb\u52a1\u6570\u4e0d\u80dc\u6570\uff0c\u4f46\u88ab\u6df1\u5ea6\u5b66\u4e60\u5e2d\u5377\u7684\u8ba1\u7b97\u673a\u56fe\u5f62\u5b66\u4efb\u52a1\u4ecd\u7136\u5c1a\u5c11\u3002<\/p>\n\n\n\n<p>\u7531\u4e8eNeRF\u53ca\u5176\u4f17\u591afollow-up\u5de5\u4f5c\u5728\u56fe\u5f62\u5b66\u4e2d\u975e\u5e38\u91cd\u8981\u7684\u6e32\u67d3\u4efb\u52a1\u4e0a\u7ed9\u51fa\u4e86\u4f18\u79c0\u7684\u7ed3\u679c\uff0c\u53ef\u4ee5\u9884\u89c1\u672a\u6765\u7528\u6df1\u5ea6\u5b66\u4e60\u5b8c\u6210\u56fe\u5f62\u5b66\u4efb\u52a1\u7684\u5de5\u4f5c\u4f1a\u5feb\u901f\u589e\u957f\u3002\u4eca\u5e74\u7684<a href=\"https:\/\/m-niemeyer.github.io\/project-pages\/giraffe\/index.html\" target=\"_blank\" rel=\"noreferrer noopener\">GIRAFFE<\/a>\u662fNeRF\u7684\u540e\u7eed\u5de5\u4f5c\u4e4b\u4e00\uff0c\u5b83\u6458\u4e0b2021CVPR\u7684\u6700\u4f73\u8bba\u6587\u5956\u5bf9\u6574\u4e2a\u65b9\u5411\u7684\u7e41\u8363\u90fd\u8d77\u5230\u79ef\u6781\u7684\u63a8\u52a8\u4f5c\u7528\u3002<\/p>\n\n\n\n<p>\u672c\u6587\u5e0c\u671b\u8ba8\u8bba\u4ee5\u4e0b\u95ee\u9898\uff1a<\/p>\n\n\n\n<ul><li>NeRF\u88ab\u63d0\u51fa\u7684\u57fa\u7840\uff082 \u524dNeRF\u65f6\u4ee3\uff09\uff1b<\/li><li>NeRF\u662f\u4ec0\u4e48\uff083 NeRF\uff01\uff09\uff1b<\/li><li>NeRF\u7684\u4ee3\u8868\u6027follow-up\u5de5\u4f5c\uff084 \u540eNeRF\u65f6\u4ee3\uff09\uff1b<\/li><li>\u5305\u542bNeRF\u7684\u66f4\u5bbd\u6cdb\u7684\u7814\u7a76\u65b9\u5411Neural Rendering\u7684\u7b80\u4ecb\uff085 \u4e0d\u6b62\u662fNeRF\uff09\u3002<\/li><\/ul>\n\n\n\n<h2>2 \u524dNeRF\u65f6\u4ee3<\/h2>\n\n\n\n<h3>2.1 \u4f20\u7edf\u56fe\u5f62\u5b66\u7684\u6e32\u67d3<\/h3>\n\n\n\n<p>\u672c\u8d28\u4e0a\uff0cNeRF\u505a\u7684\u4e8b\u60c5\u5c31\u662f\u7528\u6df1\u5ea6\u5b66\u4e60\u5b8c\u6210\u4e86\u56fe\u5f62\u5b66\u4e2d\u76843D\u6e32\u67d3\u4efb\u52a1\u3002\u90a3\u4e48\u6211\u4eec\u63d0\u4e24\u4e2a\u95ee\u9898\u3002<\/p>\n\n\n\n<ul><li>\u95ee\u98981\uff1a3D\u6e32\u67d3\u662f\u8981\u5e72\u4ec0\u4e48\uff1f<\/li><\/ul>\n\n\n\n<p>\u770b2\u4e2a\u6bd4\u8f83\u5b98\u65b9\u7684\u5b9a\u4e49\u3002<\/p>\n\n\n\n<p>MIT\u8ba1\u7b97\u673a\u56fe\u5f62\u5b66\u8bfe\u7a0b<a href=\"https:\/\/ocw.mit.edu\/courses\/electrical-engineering-and-computer-science\/6-837-computer-graphics-fall-2012\/lecture-notes\/\" target=\"_blank\" rel=\"noreferrer noopener\">EECS 6.837<\/a>\u5bf9\u6e32\u67d3\uff08Rendering\uff09\u7684\u5b9a\u4e49\uff1a<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>\u201cRendering\u201d refers to the entire process that produces color values for pixels, given a 3D representation of the scene.<\/p><\/blockquote>\n\n\n\n<p>\u7efc\u8ff0<a href=\"https:\/\/arxiv.org\/abs\/2004.03805\" target=\"_blank\" rel=\"noreferrer noopener\">State of the Art on Neural Rendering<\/a>\u5bf9\u6e32\u67d3\uff08Rendering\uff09\u7684\u5b9a\u4e49\uff1a<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>The process of transforming a scene definition including cameras, lights, surface geometry and material into a simulated camera image is known as rendering.<\/p><\/blockquote>\n\n\n\n<p>\u4e5f\u5c31\u662f\u8bf4\uff0c\u6e32\u67d3\u5c31\u662f\u7528\u8ba1\u7b97\u673a\u6a21\u62df\u7167\u76f8\u673a\u62cd\u7167\uff0c\u5b83\u4eec\u7684\u7ed3\u679c\u90fd\u662f\u751f\u6210\u4e00\u5f20\u7167\u7247\u3002<\/p>\n\n\n\n<p>\u7528\u7167\u76f8\u673a\u62cd\u7167\u662f\u4e00\u4e2a\u73b0\u5b9e\u4e16\u754c\u7684\u7269\u7406\u8fc7\u7a0b\uff0c\u4e3b\u8981\u662f\u5149\u5b66\u8fc7\u7a0b\uff0c\u62cd\u7167\u5bf9\u8c61\u662f\u73b0\u5b9e\u4e16\u754c\u4e2d\u771f\u5b9e\u7684\u4e07\u4e8b\u4e07\u7269\uff0c\u5f62\u6210\u7167\u7247\u7684\u673a\u5236\u4e3b\u8981\u5c31\u662f\uff1a\u5149\u7ecf\u8fc7\u955c\u5934\uff0c\u5230\u8fbe\u4f20\u611f\u5668\uff0c\u88ab\u8bb0\u5f55\u4e0b\u6765\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic4.zhimg.com\/v2-605b24d609d027378fa0e5d08e491e67_r.jpg\" alt=\"\"\/><\/figure>\n\n\n\n<p>\u800c\u6e32\u67d3\u5c31\u662f<strong>\u7528\u8ba1\u7b97\u673a\u6a21\u62df\u8fd9\u4e00\u8fc7\u7a0b<\/strong>\uff0c\u6a21\u62df\u201c\u62cd\u7167\u201d\u7684\u5bf9\u8c61\u662f\u5df2\u5b58\u5728\u7684\u67d0\u79cd\u4e09\u7ef4\u573a\u666f\u8868\u793a\uff083D representation of the scene\uff09\uff0c\u6a21\u62df\u751f\u6210\u7167\u7247\u7684\u673a\u5236\u662f\u56fe\u5f62\u5b66\u7814\u7a76\u4eba\u5458\u7cbe\u5fc3\u8bbe\u8ba1\u7684\u7b97\u6cd5\u3002<\/p>\n\n\n\n<p>\u5173\u952e\u524d\u63d0\uff1a\u6e32\u67d3\u7684\u524d\u63d0\u662f\u67d0\u79cd\u4e09\u7ef4\u573a\u666f\u8868\u793a\u5df2\u7ecf\u5b58\u5728\u3002\u6e32\u67d3\u4e00\u8bcd\u672c\u8eab\u4e0d\u5305\u529e\u751f\u6210\u4e09\u7ef4\u573a\u666f\u8868\u793a\u3002\u4e0d\u8fc7\uff0c\u6e32\u67d3\u7684\u786e\u4e0e\u4e09\u7ef4\u573a\u666f\u8868\u793a\u7684\u5f62\u5f0f\u606f\u606f\u76f8\u5173\uff1b\u56e0\u6b64\u7814\u7a76\u6e32\u67d3\u7684\u5de5\u4f5c\u901a\u5e38\u5305\u542b\u5bf9\u4e09\u7ef4\u573a\u666f\u8868\u793a\u7684\u63a2\u8ba8\u3002<\/p>\n\n\n\n<ul><li>\u95ee\u98982\uff1a3D\u6e32\u67d3\u662f\u56fe\u5f62\u5b66\u95ee\u9898\uff0c\u90a3\u4e48\u539f\u5148\u5927\u5bb6\u662f\u7528\u4ec0\u4e48\u4f20\u7edf\u56fe\u5f62\u5b66\u65b9\u6cd5\u5b9e\u73b03D\u6e32\u67d3\u7684\u5462\uff1f<\/li><\/ul>\n\n\n\n<p>\u4e3b\u8981\u6709\u4e24\u79cd\u7b97\u6cd5\uff1a\u5149\u6805\u5316\uff08rasterization\uff09\uff0c\u5149\u7ebf\u8ffd\u8e2a\uff08ray tracing\uff09\uff1b\u90fd\u662f\u5bf9\u7167\u76f8\u673a\u62cd\u7167\u7684\u5149\u5b66\u8fc7\u7a0b\u8fdb\u884c\u6570\u5b66\u7269\u7406\u5efa\u6a21\u6765\u5b9e\u73b0\u7684\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic3.zhimg.com\/v2-99044fa4efa82b2018de071b485d1ba2_r.jpg\" alt=\"\"\/><figcaption>Rrasterization\uff0cRay Tracing<\/figcaption><\/figure>\n\n\n\n<p>\u4f20\u7edf\u6e32\u67d3\u7684\u8be6\u7ec6\u539f\u7406\u53c2\u9605<a href=\"https:\/\/github.com\/QianMo\/Real-Time-Rendering-3rd-CN-Summary-Ebook\" target=\"_blank\" rel=\"noreferrer noopener\">\u6b64\u6559\u6750<\/a>\u3002<\/p>\n\n\n\n<p>\u5149\u6805\u5316\u662f\u4e00\u79cd\u524d\u9988\u8fc7\u7a0b\uff0c\u51e0\u4f55\u4f53\u88ab\u8f6c\u6362\u4e3a\u56fe\u50cf\u57df\uff0c\u662f\u4e0a\u4e16\u7eaa\u6bd4\u8f83\u65e9\u7684\u7b97\u6cd5\u3002\u5149\u7ebf\u8ffd\u8e2a\u5219\u662f\u5c06\u5149\u7ebf\u4ece\u56fe\u50cf\u50cf\u7d20\u5411\u540e\u6295\u5c04\u5230\u865a\u62df\u4e09\u7ef4\u573a\u666f\u4e2d\uff0c\u5e76\u901a\u8fc7\u4ece\u4e0e\u51e0\u4f55\u4f53\u7684\u4ea4\u70b9\u9012\u5f52\u6295\u5c04\u65b0\u5149\u7ebf\u6765\u6a21\u62df\u53cd\u5c04\u548c\u6298\u5c04\uff0c\u6709\u5168\u5c40\u5149\u7167\u7684\u4f18\u52bf\uff08\u80fd\u6a21\u62df\u5149\u7ebf\u7684\u591a\u6b21\u53cd\u5c04\u6216\u6298\u5c04\uff09\u3002<\/p>\n\n\n\n<p>\u5f53\u4e0b\uff0c\u5728\u5b66\u672f\u754c\uff0c\u8fd8\u5728\u7814\u7a76\u4f20\u7edf\u56fe\u5f62\u5b66\u7684\u6e32\u67d3\u7b97\u6cd5\u7684\u4eba\u5e94\u8be5\u5927\u90e8\u5206\u5728\u641e\u4f18\u5316\u52a0\u901f\uff0c\u600e\u4e48\u7528GPU\u5b9e\u65f6\u6e32\u67d3\u66f4\u590d\u6742\u7684\u573a\u666f\u4e4b\u7c7b\u7684\u4e8b\u513f\u3002\u5728\u5de5\u4e1a\u754c\uff0c\u4e0d\u5c11\u6e38\u620f\u91cd\u5ea6\u4f9d\u8d56\u6e32\u67d3\u6280\u672f\uff0c\u6240\u4ee5\u5e94\u8be5\u4e5f\u6709\u4e0d\u5c11\u6e38\u620f\u516c\u53f8\u5728\u7814\u7a76\u66f4\u903c\u771f\u3001\u66f4\u5feb\u901f\u3001\u66f4\u7701\u7b97\u529b\u7684\u6e32\u67d3\u7b97\u6cd5\u3002\u53bb\u5e74\u865a\u5e7b\u5f15\u64ce\u51fa\u7684\u65b0\u6b3e\u201c\u865a\u5e7b\u5f15\u64ce5\u201d\u6548\u679c\u5f88\u662f\u9707\u64bc\uff0c\u5149\u7167\u3001\u7eb9\u7406\u3001\u6d41\u4f53\u7684\u5b9e\u65f6\u6e32\u67d3\u6a21\u62df\u90fd\u903c\u771f\u5230\u4e86\u524d\u6240\u672a\u6709\u7684\u65b0\u9ad8\u5ea6\uff0c\u53ef\u4ee5\u770b\u4e0b<a href=\"https:\/\/www.bilibili.com\/video\/BV1BK411W75W\" target=\"_blank\" rel=\"noreferrer noopener\">\u865a\u5e7b\u5f15\u64ce\u5b98\u65b9\u7684\u5ba3\u4f20\u89c6\u9891<\/a>\uff0c\u771f\u7684\u5f88\u4e0d\u9519\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic2.zhimg.com\/v2-de890b08e12d40f6431ea98bff878699_r.jpg\" alt=\"\"\/><figcaption>\u865a\u5e7b\u5f15\u64ce5<\/figcaption><\/figure>\n\n\n\n<h3>2.2 \u795e\u7ecf\u7f51\u7edc\u4fb5\u75653D\u6e32\u67d3\u4efb\u52a1\uff1aNeRF\u547c\u4e4b\u6b32\u51fa<\/h3>\n\n\n\n<h3>\u9690\u5f0f\u573a\u666f\u8868\u793a\uff08implicit scene representation\uff09<\/h3>\n\n\n\n<p>\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u6e32\u67d3\u7684\u5148\u9a71\u662f\u4f7f\u7528\u795e\u7ecf\u7f51\u7edc\u9690\u5f0f\u8868\u793a\u4e09\u7ef4\u573a\u666f\u3002 \u8bb8\u591a3D-aware\u7684\u56fe\u50cf\u751f\u6210\u65b9\u6cd5\u4f7f\u7528\u4f53\u7d20\u3001\u7f51\u683c\u3001\u70b9\u4e91\u7b49\u5f62\u5f0f\u8868\u793a\u4e09\u7ef4\u573a\u666f\uff0c\u901a\u5e38\u57fa\u4e8e\u5377\u79ef\u67b6\u6784\u3002 \u800c\u5728CVPR 2019\u4e0a\uff0c\u5f00\u59cb\u51fa\u73b0 \u4f7f\u7528\u795e\u7ecf\u7f51\u7edc\u62df\u5408\u6807\u91cf\u51fd\u6570 \u6765\u8868\u793a\u4e09\u7ef4\u573a\u666f\u7684\u5de5\u4f5c\u3002<\/p>\n\n\n\n<h3>DeepSDF<\/h3>\n\n\n\n<p>2019\u5e74CVPR\u7684<a href=\"https:\/\/openaccess.thecvf.com\/content_CVPR_2019\/papers\/Park_DeepSDF_Learning_Continuous_Signed_Distance_Functions_for_Shape_Representation_CVPR_2019_paper.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">DeepSDF<\/a>\u6216\u8bb8\u662f\u6700\u63a5\u8fd1NeRF\u7684\u5148\u9a71\u5de5\u4f5c\u3002<\/p>\n\n\n\n<p>SDF\u662fSigned Distance Function\u7684\u7f29\u5199\u3002DeepSDF\u901a\u8fc7\u56de\u5f52\uff08regress\uff09\u4e00\u4e2a\u5206\u5e03\u6765\u8868\u8fbe\u4e09\u7ef4\u8868\u9762\u7684\u3002\u5982\u4e0b\u56fe\u6240\u793a\uff0cSDF&gt;0\u7684\u5730\u65b9\uff0c\u8868\u793a\u8be5\u70b9\u5728\u4e09\u7ef4\u8868\u9762\u5916\u9762\uff1bSDF&lt;0\u7684\u5730\u65b9\uff0c\u8868\u793a\u8be5\u70b9\u5728\u4e09\u7ef4\u8868\u9762\u91cc\u9762\u3002\u56de\u5f52\u8fd9\u4e00\u5206\u5e03\u7684\u795e\u7ecf\u7f51\u7edc\u662f\u591a\u5c42\u611f\u77e5\u673a\uff08Multi-Layer Perceptron\uff0cMLP\uff09\uff0c\u975e\u5e38\u7b80\u5355\u539f\u59cb\u7684\u795e\u7ecf\u7f51\u7edc\u7ed3\u6784\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic4.zhimg.com\/v2-1d5ed418c9934345881d84833bf00477_r.jpg\" alt=\"\"\/><figcaption>DeepSDF<\/figcaption><\/figure>\n\n\n\n<p>NeRF\u6bd4DeepSDF\u8fdb\u6b65\u7684\u5730\u65b9\u5c31\u5728\u4e8e\uff0cNeRF\u7528RGB\u03c3\u4ee3\u66ff\u4e86SDF\uff0c\u6240\u4ee5\u9664\u4e86\u80fd\u63a8\u7406\u4e00\u4e2a\u70b9\u79bb\u7269\u4f53\u8868\u9762\u7684\u8ddd\u79bb\uff0c\u8fd8\u80fd\u63a8\u7406RGB\u989c\u8272\u548c\u900f\u660e\u5ea6\uff0c\u4e14\u989c\u8272\u662fview-dependent\u7684\uff08\u89c2\u5bdf\u89c6\u89d2\u4e0d\u540c\uff0c\u540c\u4e00\u7269\u70b9\u7684\u989c\u8272\u4e0d\u540c\uff09\uff0c\u4ece\u800c\u5b9e\u73b0\u529f\u80fd\u66f4\u5f3a\u5927\u7684\u6e32\u67d3\u3002<\/p>\n\n\n\n<h2>3 NeRF\uff01<\/h2>\n\n\n\n<p>\u5efa\u8bae\u524d\u5f80<a rel=\"noreferrer noopener\" href=\"https:\/\/www.matthewtancik.com\/nerf\" target=\"_blank\">NeRF\u9879\u76ee\u7f51\u7ad9<\/a>\u67e5\u770b\u89c6\u9891\u6548\u679c\u56fe\u3002<\/p>\n\n\n\n<h3>3.1 Radiance Fields\uff08RF\uff09<\/h3>\n\n\n\n<p>NeRF\u662fNeural Radiance Fields\u7684\u7f29\u5199\u3002\u5176\u4e2d\u7684Radiance Fields\u662f\u6307\u4e00\u4e2a\u51fd\u6570\u3001\u6216\u8005\u8bf4\u6620\u5c04g\u03b8&nbsp;\u3002<\/p>\n\n\n\n<p class=\"has-text-align-center\">(\u03c3,c)=g\u03b8(x,d)<\/p>\n\n\n\n<p>\u6620\u5c04\u7684\u8f93\u5165\u662f&nbsp;x&nbsp;\u548cd&nbsp;\u3002&nbsp;x\u2208R3\u662f\u4e09\u7ef4\u7a7a\u95f4\u70b9\u7684\u5750\u6807\uff0c&nbsp;d\u2208S2&nbsp;\u662f\u89c2\u5bdf\u89d2\u5ea6\u3002<\/p>\n\n\n\n<p>\u6620\u5c04\u7684\u8f93\u51fa\u662f&nbsp;\u03c3&nbsp;\u548c&nbsp;c&nbsp;\u3002&nbsp;\u03c3\u2208R+&nbsp;\u662fvolume density\uff08\u53ef\u4ee5\u7b80\u5355\u7406\u89e3\u4e3a\u4e0d\u900f\u660e\u5ea6\uff09\uff0c&nbsp;c\u2208R3&nbsp;\u662fcolor\uff0c\u5373RGB\u989c\u8272\u503c\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic4.zhimg.com\/v2-acab59a72dbf75ebf19aabd9cca85f8f_r.jpg\" alt=\"\"\/><figcaption>Radiance Fields\uff08RF\uff09<\/figcaption><\/figure>\n\n\n\n<p>Radiance Fields\uff0c\u6216\u8005\u8bf4\u6620\u5c04&nbsp;g\u03b8&nbsp;\uff0c\u80fd\u5bf9\u4e09\u7ef4\u573a\u666f\u8fdb\u884c\u9690\u5f0f\u8868\u793a\uff08implicit scene representation\uff09\u3002\u5728\u4e0a\u4e00\u8282\uff0c\u6211\u4eec\u8bf4\u8fc7\u67d0\u79cd\u4e09\u7ef4\u573a\u666f\u8868\u793a\u6b63\u662f\u6e32\u67d3\u7684\u524d\u63d0\u3002\u5b9e\u73b0\u6e32\u67d3\u4e5f\u662f \u4f5c\u8005\u63d0\u51faRadiance Fields\u8fd9\u4e00\u65b0\u578b\u4e09\u7ef4\u573a\u666f\u8868\u793a\u65b9\u6cd5 \u7684\u76ee\u7684\u6240\u5728\u3002<\/p>\n\n\n\n<h3>3.2 Neural Radiance Fields\uff08NeRF\uff09<\/h3>\n\n\n\n<p>Radiance Fields\u662f\u6620\u5c04g\u03b8&nbsp;\u3002\u90a3\u4e48Neural Radiance Fields\u5219\u662f\u6307\u7528\u795e\u7ecf\u7f51\u7edc\u62df\u5408Radiance Fields&nbsp;g\u03b8&nbsp;\u3002\u8bba\u6587\u4e2d\uff0c\u8be5\u795e\u7ecf\u7f51\u7edc\u5177\u4f53\u662f\u591a\u5c42\u611f\u77e5\u673a\uff08\u4e0eDeepSDF\u4e00\u6837\uff09\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic1.zhimg.com\/v2-8540750b44b1da49ccd1fe38915324a0_r.jpg\" alt=\"\"\/><figcaption>Neural Radiance Fields\uff08NeRF\uff09<\/figcaption><\/figure>\n\n\n\n<h3>3.3 NeRF\u7684\u4f53\u79ef\u6e32\u67d3<\/h3>\n\n\n\n<p>NeRF\uff08Neural Radiance Fields\uff09\u5176\u5b9e\u662f\u4e00\u79cd\u4e09\u7ef4\u573a\u666f\u8868\u793a\uff08scene representation\uff09\uff0c\u800c\u4e14\u662f\u4e00\u79cd\u9690\u5f0f\u7684\u573a\u666f\u8868\u793a\uff08implicit scene representation\uff09\uff0c\u56e0\u4e3a\u4e0d\u80fd\u50cfpoint cloud\u3001mesh\u3001voxel\u4e00\u6837\u76f4\u63a5\u770b\u89c1\u4e00\u4e2a\u4e09\u7ef4\u6a21\u578b\u3002<\/p>\n\n\n\n<p>NeRF\u5c06\u573a\u666f\u8868\u793a\u4e3a\u7a7a\u95f4\u4e2d\u4efb\u4f55\u70b9\u7684volume density&nbsp;\u03c3&nbsp;\u548c\u989c\u8272\u503c&nbsp;c&nbsp;\u3002 \u6709\u4e86\u4ee5NeRF\u5f62\u5f0f\u5b58\u5728\u7684\u573a\u666f\u8868\u793a\u540e\uff0c\u53ef\u4ee5\u5bf9\u8be5\u573a\u666f\u8fdb\u884c\u6e32\u67d3\uff0c\u751f\u6210\u65b0\u89c6\u89d2\u7684\u6a21\u62df\u56fe\u7247\u3002\u8bba\u6587\u4f7f\u7528\u7ecf\u5178\u4f53\u79ef\u6e32\u67d3\uff08volume rendering\uff09\u7684\u539f\u7406\uff0c\u6c42\u89e3\u7a7f\u8fc7\u573a\u666f\u7684\u4efb\u4f55\u5149\u7ebf\u7684\u989c\u8272\uff0c\u4ece\u800c\u6e32\u67d3\u5408\u6210\u65b0\u7684\u56fe\u50cf\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic1.zhimg.com\/v2-15dae8d892aa3f60a33f996ed5f8e0c4_r.jpg\" alt=\"\"\/><figcaption>NeRF volume rendering<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"576\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/12\/image-79-1024x576.png\" alt=\"\" class=\"wp-image-11475\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/12\/image-79-1024x576.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/12\/image-79-300x169.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/12\/image-79-768x432.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/12\/image-79.png 1118w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h3>3.4 NeRF\u7684\u8bad\u7ec3<\/h3>\n\n\n\n<p>\u8bad\u7ec3NeRF\u7684\u8f93\u5165\u6570\u636e\u662f\uff1a\u4ece\u4e0d\u540c\u4f4d\u7f6e\u62cd\u6444\u540c\u4e00\u573a\u666f\u7684\u56fe\u7247\uff0c\u62cd\u6444\u8fd9\u4e9b\u56fe\u7247\u7684\u76f8\u673a\u4f4d\u59ff\u3001\u76f8\u673a\u5185\u53c2\uff0c\u4ee5\u53ca\u573a\u666f\u7684\u8303\u56f4\u3002\u82e5\u56fe\u50cf\u6570\u636e\u96c6\u7f3a\u5c11\u76f8\u673a\u53c2\u6570\u771f\u503c\uff0c\u4f5c\u8005\u4fbf\u4f7f\u7528\u7ecf\u5178SfM\u91cd\u5efa\u89e3\u51b3\u65b9\u6848<a href=\"https:\/\/colmap.github.io\/\" target=\"_blank\" rel=\"noreferrer noopener\">COLMAP<\/a>\u4f30\u8ba1\u4e86\u9700\u8981\u7684\u53c2\u6570\uff0c\u5f53\u4f5c\u771f\u503c\u4f7f\u7528\u3002<\/p>\n\n\n\n<p>\u5728\u8bad\u7ec3\u4f7f\u7528NeRF\u6e32\u67d3\u65b0\u56fe\u7247\u7684\u8fc7\u7a0b\u4e2d\uff0c<\/p>\n\n\n\n<ul><li>\u5148\u5c06\u8fd9\u4e9b\u4f4d\u7f6e\u8f93\u5165MLP\u4ee5\u4ea7\u751fvolume density\u548cRGB\u989c\u8272\u503c\uff1b<\/li><li>\u53d6\u4e0d\u540c\u7684\u4f4d\u7f6e\uff0c\u4f7f\u7528\u4f53\u79ef\u6e32\u67d3\u6280\u672f\u5c06\u8fd9\u4e9b\u503c\u5408\u6210\u4e3a\u4e00\u5f20\u5b8c\u6574\u7684\u56fe\u50cf\uff1b<\/li><li>\u56e0\u4e3a\u4f53\u79ef\u6e32\u67d3\u51fd\u6570\u662f\u53ef\u5fae\u7684\uff0c\u6240\u4ee5\u53ef\u4ee5\u901a\u8fc7\u6700\u5c0f\u5316\u4e0a\u4e00\u6b65\u6e32\u67d3\u5408\u6210\u7684\u3001\u771f\u5b9e\u56fe\u50cf\u4e4b\u95f4\u7684\u5dee\u6765\u8bad\u7ec3\u4f18\u5316NeRF\u573a\u666f\u8868\u793a\u3002<\/li><\/ul>\n\n\n\n<p>\u8fd9\u6837\u7684\u4e00\u4e2aNeRF\u8bad\u7ec3\u5b8c\u6210\u540e\uff0c\u5c31\u5f97\u5230\u4e00\u4e2a \u4ee5\u591a\u5c42\u611f\u77e5\u673a\u7684\u6743\u91cd\u8868\u793a\u7684 \u6a21\u578b\u3002\u4e00\u4e2a\u6a21\u578b\u53ea\u542b\u6709\u8be5\u573a\u666f\u7684\u4fe1\u606f\uff0c\u4e0d\u5177\u6709\u751f\u6210\u522b\u7684\u573a\u666f\u7684\u56fe\u7247\u7684\u80fd\u529b\u3002<\/p>\n\n\n\n<p>\u9664\u6b64\u4e4b\u5916\uff0cNeRF\u8fd8\u6709\u4e24\u4e2a\u4f18\u5316\u7684trick\uff1a<\/p>\n\n\n\n<ul><li>\u4f4d\u7f6e\u7f16\u7801\uff08positional encoding\uff09\uff0c\u7c7b\u4f3c\u4e8e\u5085\u91cc\u53f6\u53d8\u6362\uff0c\u5c06\u4f4e\u7ef4\u8f93\u5165\u6620\u5c04\u5230\u9ad8\u7ef4\u7a7a\u95f4\uff0c\u63d0\u5347\u7f51\u7edc\u6355\u6349\u9ad8\u9891\u4fe1\u606f\u7684\u80fd\u529b\uff1b<\/li><li>\u4f53\u79ef\u6e32\u67d3\u7684\u5206\u5c42\u91c7\u6837\uff08hierarchical volume sampling\uff09\uff0c\u901a\u8fc7\u66f4\u9ad8\u6548\u7684\u91c7\u6837\u7b56\u7565\u51cf\u5c0f\u4f30\u7b97\u79ef\u5206\u5f0f\u7684\u8ba1\u7b97\u5f00\u9500\uff0c\u52a0\u5feb\u8bad\u7ec3\u901f\u5ea6\u3002<\/li><\/ul>\n\n\n\n<h2>4 \u540eNeRF\u65f6\u4ee3<\/h2>\n\n\n\n<h3>GIRAFFE\uff1acomposition\u65b9\u5411\u7684\u4ee3\u8868\u4f5c<\/h3>\n\n\n\n<p>2021CVPR\u7684\u6700\u4f73\u8bba\u6587\u5956\u5f97\u4e3bGIRAFFE\u662fNeRF\u3001GRAF\u5de5\u4f5c\u7684\u5ef6\u7533\u3002<\/p>\n\n\n\n<p>\u5728NeRF\u4e4b\u540e\uff0c\u6709\u4eba\u63d0\u51fa\u4e86GRAF\uff08Generative Radiance Fields\uff09\uff0c\u5173\u952e\u70b9\u5728\u4e8e\u5f15\u5165\u4e86GAN\u6765\u5b9e\u73b0Neural Radiance Fields\uff1b\u5e76\u4f7f\u7528conditional GAN\u5b9e\u73b0\u5bf9\u6e32\u67d3\u5185\u5bb9\u7684\u53ef\u63a7\u6027\u3002<\/p>\n\n\n\n<p>\u5728GRAF\u4e4b\u540e\uff0cGIRAFFE\u5b9e\u73b0\u4e86composition\u3002\u5728NeRF\u3001GRAF\u4e2d\uff0c\u4e00\u4e2aNeural Radiance Fields\u8868\u793a\u4e00\u4e2a\u573a\u666f\uff0cone model per scene\u3002\u800c\u5728GIRAFFE\u4e2d\uff0c\u4e00\u4e2aNeural Radiance Fields\u53ea\u8868\u793a\u4e00\u4e2a\u7269\u4f53\uff0cone object per scene\uff08\u80cc\u666f\u4e5f\u7b97\u4e00\u4e2a\u7269\u4f53\uff09\u3002\u8fd9\u6837\u505a\u7684\u5999\u5904\u5728\u4e8e\u53ef\u4ee5\u968f\u610f\u7ec4\u5408\u4e0d\u540c\u573a\u666f\u7684\u7269\u4f53\uff0c\u53ef\u4ee5\u6539\u53d8\u540c\u4e00\u573a\u666f\u4e2d\u4e0d\u540c\u7269\u4f53\u95f4\u7684\u76f8\u5bf9\u4f4d\u7f6e\uff0c\u6e32\u67d3\u751f\u6210\u66f4\u591a\u8bad\u7ec3\u6570\u636e\u4e2d\u6ca1\u6709\u7684\u5168\u65b0\u56fe\u50cf\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic2.zhimg.com\/v2-a72bdd7266cf3b5811a590f8410ee2cd_r.jpg\" alt=\"\"\/><figcaption>GIRAFFE\u5b9e\u73b0composition<\/figcaption><\/figure>\n\n\n\n<p>\u5982\u56fe\u6240\u793a\uff0cGIRAFFE\u53ef\u4ee5\u5e73\u79fb\u3001\u65cb\u8f6c\u573a\u666f\u4e2d\u7684\u7269\u4f53\uff0c\u8fd8\u53ef\u4ee5\u5728\u573a\u666f\u4e2d\u589e\u6dfb\u539f\u672c\u6ca1\u6709\u7684\u65b0\u7269\u4f53\u3002<\/p>\n\n\n\n<p>\u53e6\u5916\uff0cGIRAFFE\u8fd8\u53ef\u4ee5\u6539\u53d8\u7269\u4f53\u7684\u5f62\u72b6\u548c\u5916\u89c2\uff0c\u56e0\u4e3a\u7f51\u7edc\u4e2d\u52a0\u5165\u4e86\u5f62\u72b6\u7f16\u7801\u3001\u5916\u89c2\u7f16\u7801\u53d8\u91cf\uff08shape codes&nbsp;zsi&nbsp;, appearance codes&nbsp;zai&nbsp;\uff09\u3002<\/p>\n\n\n\n<h3>\u5176\u4ed6\u6700\u65b0\u76f8\u5173\u5de5\u4f5c<\/h3>\n\n\n\n<p>2021\u5e74CVPR\u8fd8\u6709\u8bb8\u591a\u76f8\u5173\u7684\u7cbe\u5f69\u5de5\u4f5c\u53d1\u8868\u3002\u4f8b\u5982\uff0c\u63d0\u5347\u7f51\u7edc\u7684\u6cdb\u5316\u6027\uff1a<\/p>\n\n\n\n<ul><li><a href=\"https:\/\/alexyu.net\/pixelnerf\/\" target=\"_blank\" rel=\"noreferrer noopener\">pixelNeRF<\/a>\uff1a\u5c06\u6bcf\u4e2a\u50cf\u7d20\u7684\u7279\u5f81\u5411\u91cf\u800c\u975e\u50cf\u7d20\u672c\u8eab\u4f5c\u4e3a\u8f93\u5165\uff0c\u5141\u8bb8\u7f51\u7edc\u5728\u4e0d\u540c\u573a\u666f\u7684\u591a\u89c6\u56fe\u56fe\u50cf\u4e0a\u8fdb\u884c\u8bad\u7ec3\uff0c\u5b66\u4e60\u573a\u666f\u5148\u9a8c\uff0c\u7136\u540e\u6d4b\u8bd5\u65f6\u76f4\u63a5\u63a5\u6536\u4e00\u4e2a\u6216\u51e0\u4e2a\u89c6\u56fe\u4e3a\u8f93\u5165\u5408\u6210\u65b0\u89c6\u56fe\u3002<\/li><li><a href=\"https:\/\/ibrnet.github.io\/\" target=\"_blank\" rel=\"noreferrer noopener\">IBRNet<\/a>\uff1a\u5b66\u4e60\u4e00\u4e2a\u9002\u7528\u4e8e\u591a\u79cd\u573a\u666f\u7684\u901a\u7528\u89c6\u56fe\u63d2\u503c\u51fd\u6570\uff0c\u4ece\u800c\u4e0d\u7528\u4e3a\u6bcf\u4e2a\u65b0\u7684\u573a\u666f\u90fd\u65b0\u5b66\u4e60\u4e00\u4e2a\u6a21\u578b\u624d\u80fd\u6e32\u67d3\uff1b\u4e14\u7f51\u7edc\u7ed3\u6784\u4e0a\u7528\u4e86\u53e6\u4e00\u4e2a\u65f6\u9ae6\u7684\u4e1c\u897f Transformer\u3002<\/li><li><a href=\"https:\/\/apchenstu.github.io\/mvsnerf\/\" target=\"_blank\" rel=\"noreferrer noopener\">MVSNeRF<\/a>\uff1a\u8bad\u7ec3\u4e00\u4e2a\u5177\u6709\u6cdb\u5316\u6027\u80fd\u7684\u5148\u9a8c\u7f51\u7edc\uff0c\u5728\u63a8\u7406\u7684\u65f6\u5019\u53ea\u75283\u5f20\u8f93\u5165\u56fe\u7247\u5c31\u91cd\u5efa\u4e00\u4e2a\u65b0\u7684\u573a\u666f\u3002<\/li><\/ul>\n\n\n\n<p>\u9488\u5bf9\u52a8\u6001\u573a\u666f\u7684NeRF:<\/p>\n\n\n\n<ul><li><a href=\"https:\/\/nerfies.github.io\/\" target=\"_blank\" rel=\"noreferrer noopener\">Nerfies<\/a>\uff1a\u591a\u4f7f\u7528\u4e86\u4e00\u4e2a\u591a\u5c42\u611f\u77e5\u673a\u6765\u62df\u5408\u5f62\u53d8\u7684SE(3) field\uff0c\u4ece\u800c\u5efa\u6a21\u5e27\u95f4\u573a\u666f\u5f62\u53d8\u3002<\/li><li><a href=\"https:\/\/www.albertpumarola.com\/research\/D-NeRF\/index.html\" target=\"_blank\" rel=\"noreferrer noopener\">D-NeRF<\/a>\uff1a\u591a\u4f7f\u7528\u4e86\u4e00\u4e2a\u591a\u5c42\u611f\u77e5\u673a\u6765\u62df\u5408\u573a\u666f\u5f62\u53d8\u7684displacement\u3002<\/li><li><a href=\"http:\/\/www.cs.cornell.edu\/~zl548\/NSFF\/\" target=\"_blank\" rel=\"noreferrer noopener\">Neural Scene Flow Fields<\/a>\uff1a\u591a\u63d0\u51fa\u4e86\u4e00\u4e2ascene flow fields\u6765\u63cf\u8ff0\u65f6\u5e8f\u7684\u573a\u666f\u5f62\u53d8\u3002<\/li><\/ul>\n\n\n\n<p>\u5176\u4ed6\u521b\u65b0\u70b9\uff1a<\/p>\n\n\n\n<ul><li><a href=\"https:\/\/kai-46.github.io\/PhySG-website\/\" target=\"_blank\" rel=\"noreferrer noopener\">PhySG<\/a>\uff1a\u7528\u7403\u72b6\u9ad8\u65af\u51fd\u6570\u6a21\u62dfBRDF\uff08\u9ad8\u7ea7\u7740\u8272\u7684\u4e0a\u53e4\u795e\u5668\uff09\u548c\u73af\u5883\u5149\u7167\uff0c\u9488\u5bf9\u66f4\u590d\u6742\u7684\u5149\u7167\u73af\u5883\uff0c\u80fd\u5904\u7406\u975e\u6717\u4f2f\u8868\u9762\u7684\u53cd\u5c04\u3002<\/li><li><a href=\"https:\/\/nex-mpi.github.io\/\" target=\"_blank\" rel=\"noreferrer noopener\">NeX<\/a>\uff1a\u7528MPI\uff08Multi-Plane Image \uff09\u4ee3\u66ffNeRF\u7684RGB\u03c3\u4f5c\u4e3a\u7f51\u7edc\u7684\u8f93\u51fa\u3002<\/li><\/ul>\n\n\n\n<h3>5 \u4e0d\u6b62\u662fNeRF\uff1aNeural Rendering<\/h3>\n\n\n\n<p>Neural Radiance Fields\u7684\u5916\u9762\u662fNeural Rendering\uff1b\u6362\u53e5\u8bdd\u8bf4\uff0cNeRF\uff08Neural Radiance Fields\uff09\u662fNeural Rendering\u65b9\u5411\u7684\u5b50\u96c6\u3002<\/p>\n\n\n\n<p>\u5728\u9488\u5bf9\u8fd9\u4e2a\u66f4\u5bbd\u6cdb\u7684\u6982\u5ff5\u7684\u7efc\u8ff0<a href=\"https:\/\/arxiv.org\/abs\/2004.03805\" target=\"_blank\" rel=\"noreferrer noopener\">State of the Art on Neural Rendering<\/a>\u4e2d\uff0cNeural Rendering\u7684\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u88ab\u5206\u4e3a5\u7c7b\uff0cNeRF\u5728\u5176\u4e2d\u5e94\u5c5e\u4e8e\u7b2c2\u7c7b\u201cNovel View Synthesis\u201d\uff08\u4e0d\u8fc7\u8fd9\u7bc7\u7efc\u8ff0\u65e9\u4e8eNeRF\u53d1\u8868,\u8868\u4e2d\u6ca1\u6709NeRF\u6761\u76ee\uff09\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic4.zhimg.com\/v2-75894f9393c941bed4a9a7120c609417_r.jpg\" alt=\"\"\/><figcaption>Neural Rendering\u76845\u7c7b\u4e3b\u8981\u7814\u7a76\u65b9\u5411<\/figcaption><\/figure>\n\n\n\n<p>\u8868\u4e2d\u5f69\u8272\u5b57\u6bcd\u7f29\u5199\u7684\u542b\u4e49\uff1a<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic2.zhimg.com\/v2-62d3ea52cc148c0a92c5819c2ff1faa1_r.jpg\" alt=\"\"\/><\/figure>\n\n\n\n<p>\u5728\u8fd9\u7bc7\u7efc\u8ff0\u4e2d\uff0cNeural Rendering\u88ab\u5b9a\u4e49\u4e3a\uff1a<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>Deep image or video generation approaches that enable explicit or implicit control of scene properties such as illumination, camera parameters, pose, geometry, appearance, and semantic structure.<\/p><\/blockquote>\n\n\n\n<p>Neural Rendering\u5305\u542b\u6240\u6709<strong>\u4f7f\u7528\u795e\u7ecf\u7f51\u7edc\u751f\u6210\u53ef\u63a7\uff08\u4e14photo-realistic\uff09\u7684\u65b0\u56fe\u7247\u7684\u65b9\u6cd5<\/strong>\u3002\u201c\u53ef\u63a7\u201d\u6307\u4eba\u53ef\u4ee5\u663e\u5f0f\u6216\u9690\u5f0f\u5730\u63a7\u5236\u751f\u6210\u65b0\u56fe\u7247\u7684\u5c5e\u6027\uff0c\u5e38\u89c1\u7684\u5c5e\u6027\u5305\u62ec\uff1a\u5149\u7167\uff0c\u76f8\u673a\u5185\u53c2\uff0c\u76f8\u673a\u4f4d\u59ff\uff08\u5916\u53c2\uff09\uff0c\u51e0\u4f55\u5173\u7cfb\uff0c\u5916\u89c2\uff0c\u8bed\u4e49\u5206\u5272\u7ed3\u6784\u3002\u5728\u8fd9\u4e2a\u5927\u6846\u67b6\u4e0b\uff0cNeRF\u662f\u4e00\u79cd\u6bd4\u8f83\u53d7\u6b22\u8fce\u7684\u53ef\u63a7\u76f8\u673a\u4f4d\u59ff\u7684Neural Rendering\u7b97\u6cd5\u3002\u4f46Neural Rendering\u8fd9\u4e2a\u65b9\u5411\u4e0d\u6b62\u4e8e\u6b64\u3002<\/p>\n\n\n\n<p>\u5728\u76ee\u524d\u7684Neural Rendering\u65b9\u5411\uff0c\u6700\u706b\u7684\u5b50\u65b9\u5411\u5c31\u662f\u201cNovel View Synthesis\u201d\uff0c\u8fd9\u4e0eNeRF\u7684\u5f3a\u52bf\u8e7f\u7ea2\u5bc6\u4e0d\u53ef\u5206\uff1b\u7b2c\u4e8c\u706b\u7684\u5b50\u65b9\u5411\u662f\u201cSemantic Photo Synthesis\u201d\uff0c\u8fd9\u4e3b\u8981\u5f52\u529f\u4e8e\u8bed\u4e49\u5206\u5272\u4ee5\u53ca\u76f8\u5173\u7684GAN\u9886\u57df\u7684\u6210\u719f\u5ea6\u3002\u201cSemantic Photo Synthesis\u201d\u65b9\u5411\u4e5f\u662f\u6210\u679c\u9887\u4e30\uff0c\u4f8b\u59822019\u5e74CVPR\u7684<a href=\"https:\/\/openaccess.thecvf.com\/content_CVPR_2019\/papers\/Park_Semantic_Image_Synthesis_With_Spatially-Adaptive_Normalization_CVPR_2019_paper.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Semantic Image Synthesis with Spatially-Adaptive Normalization<\/a>\uff0c\u5176\u6548\u679c\u56fe\u5982\u4e0b\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic1.zhimg.com\/v2-d8f5e3be3e5a4d79291c2bc4528a0afc_r.jpg\" alt=\"\"\/><figcaption>Semantic Image Synthesis<\/figcaption><\/figure>\n\n\n\n<h2>\u76f8\u5173\u8d44\u6e90<\/h2>\n\n\n\n<h3>Github\u8bba\u6587\u6536\u96c6\u4ed3\u5e93<\/h3>\n\n\n\n<p>\u5c0f\u4ed3\u5e93\uff08\u4ec5\u9650\u4e8eNeRF\uff09\uff1a<\/p>\n\n\n\n<p><a href=\"https:\/\/github.com\/yenchenlin\/awesome-NeRF\">https:\/\/github.com\/yenchenlin\/awesome-NeRF<\/a><\/p>\n\n\n\n<p>\u5927\u4ed3\u5e93\uff08neural rendering\uff09\uff1a<\/p>\n\n\n\n<p><a href=\"https:\/\/github.com\/weihaox\/awesome-neural-rendering\">https:\/\/github.com\/weihaox\/awesome-neural-rendering<\/a><\/p>\n\n\n\n<h3>\u7efc\u8ff0\u8bba\u6587<\/h3>\n\n\n\n<p>\u53ef\u4ee5\u8bf4\u662f\u5b98\u65b9\u7efc\u8ff0\uff0c\u4f5c\u8005\u5217\u8868\u662f\u76ee\u524d\u5728Neural Rendering\u9886\u57df\u6700\u6d3b\u8dc3\u7684\u4e00\u7fa4\u4eba\u3002\u4e24\u7bc7\u5206\u522b\u662f2021\u30012020\u5e74\u7684SIGGRAPH\u3001CVPR\u8bb2\u5ea7\u7528\u5230\u7684\u7efc\u8ff0\uff0c\u5f88\u5168\u9762\u5f88\u6709\u6761\u7406\uff0c\u503c\u5f97\u6bcf\u4f4d\u4ece\u4e1a\u8005\u4e00\u8bfb\uff01<\/p>\n\n\n\n<p>SIGGRAPH 2021 Course\uff1a\u3000<a href=\"https:\/\/arxiv.org\/abs\/2111.05849\" target=\"_blank\" rel=\"noreferrer noopener\">Advances in Neural Rendering<\/a><\/p>\n\n\n\n<p>CVPR 2020 Tutorial\uff1a\u3000<a href=\"https:\/\/arxiv.org\/abs\/2004.03805\" target=\"_blank\" rel=\"noreferrer noopener\">State of the Art on Neural Rendering<\/a><\/p>\n\n\n\n<p>\u8303\u56f4\u9650\u5b9a\u4e3a\u53ef\u5fae\u6e32\u67d3\u65b9\u6cd5\u7684\u7efc\u8ff0\uff1a<\/p>\n\n\n\n<p><a href=\"https:\/\/arxiv.org\/abs\/2006.12057\" target=\"_blank\" rel=\"noreferrer noopener\">Differentiable Rendering: A Survey<\/a><\/p>\n\n\n\n<p>\u4e0a\u9762\u5c0f\u4ed3\u5e93\u7684\u5e93\u4e3b\uff08MIT\u535a\u58eb\u751fYen-Chen Lin\uff09\u5199\u7684\u7efc\u8ff0\uff1a<\/p>\n\n\n\n<p><a href=\"https:\/\/arxiv.org\/abs\/2101.05204\" target=\"_blank\" rel=\"noreferrer noopener\">Neural Volume Rendering: NeRF And Beyond<\/a><\/p>\n\n\n\n<h3>\u8bba\u6587<\/h3>\n\n\n\n<p>\u5217\u8bba\u6587\u5b9e\u5728\u6302\u4e00\u6f0f\u4e07\uff0c\u8c61\u5f81\u6027\u5730\u653e\u4e0a\u672c\u6587\u63d0\u5230\u76842\u7bc7\u5f88\u91cd\u8981\u7684\u8bba\u6587\u5427\u3002<\/p>\n\n\n\n<p>NeRF\u9879\u76ee\u4e3b\u9875\uff1a<\/p>\n\n\n\n<p><a href=\"https:\/\/www.matthewtancik.com\/nerf\" target=\"_blank\" rel=\"noreferrer noopener\">NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis<\/a><\/p>\n\n\n\n<p>GIRAFFE\u9879\u76ee\u4e3b\u9875\uff1a<\/p>\n\n\n\n<p><a href=\"https:\/\/m-niemeyer.github.io\/project-pages\/giraffe\/index.html\" target=\"_blank\" rel=\"noreferrer noopener\">GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields<\/a><\/p>\n\n\n\n<h3>\u6559\u6750<\/h3>\n\n\n\n<p>\u4f20\u7edf\u56fe\u5f62\u5b66\u6e32\u67d3\u6280\u672f\uff1a<\/p>\n\n\n\n<p><a href=\"https:\/\/github.com\/QianMo\/Real-Time-Rendering-3rd-CN-Summary-Ebook\" target=\"_blank\" rel=\"noreferrer noopener\">Real-Time Rendering 3rd<\/a><\/p>\n\n\n\n<p>\u8ba1\u7b97\u673a\u89c6\u89c9\u7ecf\u5178\u6559\u6750\uff0c\u542b\u6709image-based rendering\u7ae0\u8282\uff1a<\/p>\n\n\n\n<p><a href=\"http:\/\/szeliski.org\/Book\/\" target=\"_blank\" rel=\"noreferrer noopener\">Computer Vision: Algorithms and Applications<\/a><\/p>\n\n\n\n<h3>\u4e09\u7bc7Georgia Tech\u8001\u5e08\u5199\u7684\u535a\u5ba2<\/h3>\n\n\n\n<p><a href=\"https:\/\/dellaert.github.io\/NeRF22\/\" target=\"_blank\" rel=\"noreferrer noopener\">NeRF at CVPR 2022 &#8211; Frank Dellaert<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/dellaert.github.io\/NeRF21\/\" target=\"_blank\" rel=\"noreferrer noopener\">NeRF at ICCV 2021 &#8211; Frank Dellaert<\/a><\/p>\n\n\n\n<p><a rel=\"noreferrer noopener\" href=\"https:\/\/dellaert.github.io\/NeRF\/\" target=\"_blank\">NeRF Explosion 2020 &#8211; Frank Dellaert<\/a><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"691\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/12\/image-80-1024x691.png\" alt=\"\" class=\"wp-image-11476\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/12\/image-80-1024x691.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/12\/image-80-300x202.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/12\/image-80-768x518.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/12\/image-80.png 1118w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h3>\u79bb\u6563\u5f62\u5f0f<\/h3>\n\n\n\n<p>\u63a8\u5bfc\u4e00\u4e0b\u8fde\u7eed\u5f62\u5f0f\u53d8\u4e3a\u79bb\u6563\u5f62\u5f0f\u7684\u8fd0\u7b97\u3002<\/p>\n\n\n\n<p>\u8ba1\u7b97\u673a\u6c42\u89e3\u79ef\u5206\u5f0f\u7684\u529e\u6cd5\u4e00\u822c\u662f\u5316\u4e3a\u9ece\u66fc\u548c\u3002\u5728\u8fd9\u91cc\uff0c\u5982\u679c\u6211\u4eec\u6bcf\u6b21\u90fd\u5c06\u79ef\u5206\u533a\u95f4\u5212\u5206\u4e3a\u56fa\u5b9a\u7684\u3001\u7b49\u95f4\u8ddd\u7684\u7a84\u957f\u65b9\u5f62\u9762\u79ef\u548c\uff0c\u5176\u5b9e\u5c31\u5931\u53bb\u4e86NeRF\u662f<strong>\u8fde\u7eed<\/strong>\u573a\u666f\u8868\u793a\u7684\u4f18\u52bf\uff1a\u56e0\u4e3a\u867d\u7136\u6bcf\u4e2a\u70b9\u7684RGB\u03c3\u90fd\u53ef\u4ee5\u8bbf\u95ee\uff0c\u4f46\u662f\u5b9e\u9645\u4e0a\u4f60\u8fd8\u662f\u53ea\u7528\u4e86\u56fa\u5b9a\u70b9\u7684\u503c\u6c42\u79ef\u5206\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"868\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/12\/image-81-1024x868.png\" alt=\"\" class=\"wp-image-11477\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/12\/image-81-1024x868.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/12\/image-81-300x254.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/12\/image-81-768x651.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/12\/image-81.png 1099w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" width=\"968\" height=\"839\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/12\/image-82.png\" alt=\"\" class=\"wp-image-11478\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/12\/image-82.png 968w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/12\/image-82-300x260.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2022\/12\/image-82-768x666.png 768w\" sizes=\"(max-width: 968px) 100vw, 968px\" 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