{"id":40658,"date":"2025-12-03T21:05:33","date_gmt":"2025-12-03T13:05:33","guid":{"rendered":"https:\/\/17aitech.com\/?p=40658"},"modified":"2025-12-03T21:05:33","modified_gmt":"2025-12-03T13:05:33","slug":"%e8%85%be%e8%ae%af%e8%83%a1%e6%96%87%e5%8d%9a%ef%bc%9a%e5%bc%95%e9%a2%86-3d-%e8%a7%86%e9%a2%91%e4%b8%96%e7%95%8c%e6%a8%a1%e5%9e%8b%e6%96%b0%e8%b6%8b%e5%8a%bf%e4%b8%a8gair-2025","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=40658","title":{"rendered":"\u817e\u8baf\u80e1\u6587\u535a\uff1a\u5f15\u9886 3D \u89c6\u9891\u4e16\u754c\u6a21\u578b\u65b0\u8d8b\u52bf\u4e28GAIR 2025"},"content":{"rendered":"

2025\u5e74 12 \u6708 12-13 \u65e5\uff0c\u7531 GAIR \u7814\u7a76\u9662\u4e0e\u96f7\u5cf0\u7f51(\u516c\u4f17\u53f7\uff1a\u96f7\u5cf0\u7f51)<\/span>\u8054\u5408\u4e3b\u529e\u7684\u300c\u7b2c\u516b\u5c4a GAIR \u5168\u7403\u4eba\u5de5\u667a\u80fd\u4e0e\u673a\u5668\u4eba\u5927\u4f1a\u300d\uff0c\u5c06\u5728\u6df1\u5733\u5357\u5c71\u00b7\u535a\u6797\u5929\u745e\u559c\u6765\u767b\u9152\u5e97\u4e3e\u529e\u3002<\/em><\/p>\n

\u4eca\u5e74\u5927\u4f1a\uff0c\u5c06\u5f00\u8bbe\u4e09\u4e2a\u4e3b\u9898\u8bba\u575b\uff0c\u805a\u7126\u5927\u6a21\u578b\u3001\u7b97\u529b\u53d8\u9769\u3001\u4e16\u754c\u6a21\u578b\u7b49\u591a\u4e2a\u8bae\u9898\uff0c\u63cf\u7ed8 AI \u6700\u524d\u6cbf\u7684\u63a2\u7d22\u7fa4\u50cf\uff0c\u6298\u5c04\u5b66\u754c\u4e0e\u4ea7\u4e1a\u754c\u5171\u5efa\u7684\u667a\u80fd\u672a\u6765\u3002<\/em><\/p>\n

\u817e\u8baf ARC \u5b9e\u9a8c\u5ba4\u9ad8\u7ea7\u7814\u7a76\u5458\u80e1\u6587\u535a\u4e5f\u5c06\u8385\u4e34 12 \u6708 13 \u65e5\u300a\u4e16\u754c\u6a21\u578b\u300b\u8bba\u575b\uff0c\u5e26\u6765\u300aTowards 3D-aware Video World Models \u300b\uff08\u300a\u8fc8\u5411\u4e09\u7ef4\u611f\u77e5\u7684\u89c6\u9891\u4e16\u754c\u6a21\u578b\u300b\uff09\u7684\u4e3b\u9898\u5206\u4eab\u3002<\/em><\/p>\n

\u8fc7\u53bb\u4e00\u5e74\u591a\uff0cSora\u4e3a\u4ee3\u8868\u7684\u89c6\u9891\u751f\u6210\u6a21\u578b\uff0c\u6210\u4e3a\u7ee7\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u540e\u65b0\u7684\u5b66\u672f\u70ed\u70b9\u3002\u672c\u8d28\u4e0a\u8bb2\uff0c\u5f53\u4e0b\u706b\u7206\u7684\u89c6\u9891\u751f\u6210\u6a21\u578b\uff0c\u662f\u4e00\u79cd\u4e16\u754c\u6a21\u578b\uff0c\u5176\u6838\u5fc3\u76ee\u7684\u662f\u751f\u6210\u4e00\u6bb5\u903c\u771f\u3001\u8fde\u8d2f\u7684\u89c6\u9891\u3002<\/p>\n

\u8981\u8fbe\u5230\u8fd9\u6837\u7684\u76ee\u7684\uff0c\u6a21\u578b\u5fc5\u987b\u5728\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u7406\u89e3\u8fd9\u4e2a\u4e16\u754c\u7684\u8fd0\u4f5c\u65b9\u5f0f\uff08\u6bd4\u5982\u6c34\u5f80\u4f4e\u5904\u6d41\u3001\u7269\u4f53\u78b0\u649e\u540e\u7684\u8fd0\u52a8\u3001\u4eba\u7684\u5408\u7406\u52a8\u4f5c\u7b49\uff09\u3002<\/p>\n

\u80e1\u6587\u535a\u6b63\u662f\u4e16\u754c\u6a21\u578b\u7814\u7a76\u9886\u57df\u8fd1\u4e24\u5e74\u7684\u7edd\u5bf9\u65b0\u9510\u3002<\/p>\n

2022\u5e74\uff0c\u80e1\u6587\u535a\u83b7\u5f97\u9999\u6e2f\u4e2d\u6587\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u4e0e\u5de5\u7a0b\u535a\u58eb\u5b66\u4f4d\u3002\u81f3\u4eca\uff0c\u80e1\u6587\u535a\u5df2\u7ecf\u5728\u56fe\u5f62\u5b66\u548c\u89c6\u89c9\u56fd\u9645\u671f\u520a\u548c\u4f1a\u8bae\u53d1\u886820\u4f59\u7bc7\u8bba\u6587\u3002<\/p>\n

\u6df1\u8015\u89c6\u9891\u751f\u6210\u6a21\u578b\uff0cTri-MipR\u4e00\u9e23\u60ca\u4eba<\/strong><\/span><\/p>\n

1996\u5e74\u51fa\u751f\u7684\u80e1\u6587\u535a\u5df2\u7ecf\u5728\u4e16\u754c\u6a21\u578b\u9886\u57df\u6df1\u8015\u6570\u5e74\u3002<\/p>\n

2018\u5e74\uff0c\u80e1\u6587\u535a\u4ece\u5927\u8fde\u7406\u5de5\u5927\u5b66\u6bd5\u4e1a\uff0c\u8fd8\u83b7\u5f97\u4e86\u8fbd\u5b81\u7701\u4f18\u79c0\u6bd5\u4e1a\u751f\u7684\u6b8a\u8363\u3002\u5bf9\u8ba1\u7b97\u673a\u5145\u6ee1\u70ed\u5ff1\u7684\u80e1\u6587\u535a\u5e76\u6ca1\u6709\u9009\u62e9\u76f4\u63a5\u5de5\u4f5c\uff0c\u800c\u662f\u5954\u8d74\u9999\u6e2f\u4e2d\u6587\u5927\u5b66\u653b\u8bfb\u8ba1\u7b97\u673a\u535a\u58eb\u5b66\u4f4d\u3002<\/p>\n

\u6c42\u5b66\u671f\u95f4\uff0c\u80e1\u6587\u535a\u66fe\u5148\u540e\u5728\u5927\u7586\u3001\u963f\u91cc\u5df4\u5df4\u8fbe\u6469\u9662\u3001\u817e\u8baf\u7b49\u77e5\u540d\u4f01\u4e1a\u5b9e\u4e60\u3002<\/p>\n

2022\u5e74\u540e\uff0c\u4ece\u9999\u6e2f\u4e2d\u6587\u5927\u5b66\u535a\u58eb\u6bd5\u4e1a\u7684\u80e1\u6587\u535a\uff0c\u9009\u62e9\u52a0\u5165\u5b57\u8282\u8df3\u52a8PICO\u6df7\u5408\u73b0\u5b9e\u56e2\u961f\uff0c\u62c5\u4efb\u7814\u7a76\u5458\u3002\u4e5f\u662f\u8fd9\u4e00\u9636\u6bb5\uff0c\u80e1\u6587\u535a\u53d1\u8868\u4e86\u300aTri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields\u300b\uff08\u4ee5\u4e0b\u7b80\u79f0\u300aTri-MipRF\u300b\uff09\u3002\u8fd9\u7bc7\u8bba\u6587\u53d7\u5230\u6781\u5927\u5173\u6ce8\uff0c\u5165\u56f4ICCV’2023\u6700\u4f73\u8bba\u6587\u51b3\u8d5b\uff0c\u5e76\u8363\u83b7CVPR’2025 PixFoundation\u7814\u8ba8\u4f1a\u6700\u4f73\u8bba\u6587\u5956.<\/p>\n

\u96f7\u5cf0\u7f51\u4e86\u89e3\u5230\uff0c\u300aTri-MipRF\u300b\u63d0\u51fa\u4e00\u79cd\u65b0\u9896\u7684Tri-Mip\u7f16\u7801\uff08\u7c7b\u4f3c\u4e8e\u201cmipmap\u201d\uff09\uff0c\u5373Tri-MipRF\uff0c\u5b9e\u73b0\u795e\u7ecf\u8f90\u5c04\u573a\u7684\u5373\u65f6\u91cd\u5efa\u548c\u6297\u952f\u9f7f\u9ad8\u4fdd\u771f\u6e32\u67d3\u3002<\/p>\n

\u300aTri-MipRF\u300b\u6307\u51fa\uff0c\u5c3d\u7ba1\u795e\u7ecf\u8f90\u5c04\u573a (NeRF) \u53d6\u5f97\u4e86\u5de8\u5927\u7684\u8fdb\u6b65\uff0c\u4f46\u6211\u4eec\u4ecd\u7136\u9762\u4e34\u7740\u8d28\u91cf\u548c\u6548\u7387\u4e4b\u95f4\u7684\u6743\u8861\u56f0\u5883\u3002MipNeRF \u53ef\u4ee5\u5448\u73b0\u7cbe\u7ec6\u7684\u7ec6\u8282\u548c\u6297\u952f\u9f7f\u7684\u6e32\u67d3\u6548\u679c\uff0c\u4f46\u8bad\u7ec3\u9700\u8981\u6570\u5929\u65f6\u95f4\uff1b Instant-ngp \u53ef\u4ee5\u5728\u51e0\u5206\u949f\u5185\u5b8c\u6210\u91cd\u5efa\uff0c\u5374\u5ffd\u7565\u4e86\u91c7\u6837\u533a\u57df\uff0c\u5728\u6e32\u67d3\u65f6\u4f1a\u51fa\u73b0\u6a21\u7cca\u6216\u952f\u9f7f\u3002<\/p>\n

Tri-MipRF\u7684\u5173\u952e\u5728\u4e8e\u5c06\u9884\u6ee4\u6ce2\u540e\u76843D\u7279\u5f81\u7a7a\u95f4\u5206\u89e3\u4e3a\u4e09\u4e2a\u6b63\u4ea4\u7684mipmap\u3002\u8fd9\u6837\u5c31\u53ef\u4ee5\u5229\u7528\u9884\u6ee4\u6ce2\u540e\u76842D\u7279\u5f81\u56fe\u9ad8\u6548\u5730\u8fdb\u884c3D\u533a\u57df\u91c7\u6837\uff0c\u4ece\u800c\u5728\u4e0d\u727a\u7272\u6548\u7387\u7684\u524d\u63d0\u4e0b\u663e\u8457\u63d0\u5347\u6e32\u67d3\u8d28\u91cf\u3002\u300aTri-MipRF\u300b\u901a\u8fc7\u5927\u91cf\u5b9e\u9a8c\u8868\u660e\uff0c\u5176\u5b9e\u73b0\u4e86\u6700\u5148\u8fdb\u7684\u6e32\u67d3\u8d28\u91cf\u548c\u91cd\u5efa\u901f\u5ea6\u3002\u4e0eInstant-ngp\u76f8\u6bd4\uff0cTri-MipRF\u6a21\u578b\u5927\u5c0f\u51cf\u5c11\u4e8625%\u3002<\/p>\n

2023\u5e7411\u6708\uff0c\u80e1\u6587\u535a\u52a0\u5165\u817e\u8baf\u62c5\u4efb\u9ad8\u7ea7\u7814\u7a76\u5458\uff0c\u7ee7\u7eed\u5728\u751f\u6210\u5f0f\u4e16\u754c\u6a21\u578b\u6df1\u8015\u7ec6\u4f5c\uff0c\u4e0d\u65ad\u63a2\u7d22 3D \u89c6\u9891\u4e16\u754c\u6a21\u578b\u7684\u65b0\u8fb9\u754c\u3002<\/p>\n

\u89c6\u9891\u4e16\u754c\u6a21\u578b\u8fc8\u5411\u4e09\u7ef4\u7a7a\u95f4<\/span><\/strong><\/p>\n

\u6d41\u5a92\u4f53\u89c6\u9891\u751f\u6210\u4f5c\u4e3a\u4ea4\u4e92\u5f0f\u4e16\u754c\u6a21\u578b\u548c\u795e\u7ecf\u6e38\u620f\u5f15\u64ce\u7684\u4e00\u4e2a\u57fa\u672c\u7ec4\u6210\u90e8\u5206\uff0c\u65e8\u5728\u751f\u6210\u9ad8\u8d28\u91cf\u3001\u4f4e\u5ef6\u8fdf\u4e14\u65f6\u95f4\u4e0a\u8fde\u8d2f\u7684\u957f\u89c6\u9891\u6d41\u3002<\/p>\n

\u80e1\u6587\u535a\u4eca\u5e749\u6708\u53d1\u8868\u7684\u8bba\u6587\u300aRolling Forcing: Autoregressive Long Video Diffusion in Real Time\u300b\uff0c\u5206\u4eab\u4e86\u4ed6\u4eec\u5728\u8fd9\u4e00\u9886\u57df\u7684\u6700\u65b0\u7814\u7a76\u6210\u679c\u3002<\/p>\n

\u4ed6\u4eec\u8bbe\u8ba1\u4e86 \u201c\u6eda\u52a8\u5f3a\u5236\u201d\uff08Rolling Forcing\uff09\u8fd9\u4e00\u65b0\u578b\u89c6\u9891\u751f\u6210\u6280\u672f\uff0c\u4ece\u800c\u5b9e\u73b0\u4ee5\u6700\u5c0f\u7684\u8bef\u5dee\u7d2f\u79ef\u6765\u6d41\u5f0f\u751f\u6210\u957f\u89c6\u9891\u7684\u76ee\u7684\u3002<\/p>\n

\u201c\u6eda\u52a8\u5f3a\u5236\u201d \u6709\u4e09\u9879\u65b0\u9896\u7684\u8bbe\u8ba1\u3002<\/p>\n

\u9996\u5148 \uff0c\u201c\u6eda\u52a8\u5f3a\u5236\u201d\u8bbe\u8ba1\u4e86\u4e00\u79cd\u8054\u5408\u53bb\u566a\u65b9\u6848\uff0c\u53ef\u4ee5\u540c\u65f6\u5bf9\u591a\u4e2a\u566a\u58f0\u6c34\u5e73\u9010\u6e10\u589e\u52a0\u7684\u5e27\u8fdb\u884c\u53bb\u566a\uff1b\u5176\u6b21\uff0c\u201c\u6eda\u52a8\u5f3a\u5236\u201d\u5c06\u6ce8\u610f\u529b\u6c47\u805a\u673a\u5236\u5f15\u5165\u5230\u957f\u65f6\u6d41\u5f0f\u89c6\u9891\u751f\u6210\u4efb\u52a1\u4e2d\uff0c\u4f7f\u5f97\u6a21\u578b\u80fd\u591f\u5c06\u521d\u59cb\u5e27\u7684\u952e\u503c\u72b6\u6001\u4f5c\u4e3a\u5168\u5c40\u4e0a\u4e0b\u6587\u951a\u70b9\uff0c\u589e\u5f3a\u957f\u671f\u5168\u5c40\u4e00\u81f4\u6027\uff1b\u6700\u540e\uff0c\u201c\u6eda\u52a8\u5f3a\u5236\u201d\u8bbe\u8ba1\u4e86\u4e00\u79cd\u9ad8\u6548\u7684\u8bad\u7ec3\u7b97\u6cd5\uff0c\u80fd\u591f\u5728\u5927\u5e45\u6269\u5c55\u7684\u53bb\u566a\u7a97\u53e3\u4e0a\u8fdb\u884c\u5c11\u6b65\u84b8\u998f\u3002<\/p>\n

\u5927\u91cf\u5b9e\u9a8c\u8868\u660e\uff0c\u201c\u6eda\u52a8\u5f3a\u5236\u201d \u80fd\u591f\u5728\u5355\u5757 GPU \u4e0a\u5b9e\u65f6\u6d41\u5f0f\u751f\u6210\u957f\u8fbe\u6570\u5206\u949f\u7684\u89c6\u9891\uff0c\u540c\u65f6\u663e\u8457\u51cf\u5c11\u8bef\u5dee\u7d2f\u79ef\u3002<\/p>\n

\u80e1\u6587\u535a\u4e5f\u66fe\u7ecf\u5206\u4eab\u4ed6\u5bf9\u89c6\u9891\u751f\u6210\u6a21\u578b\u7684\u573a\u666f\u6f14\u53d8\u7684\u7406\u89e3\u3002<\/p>\n

\u80e1\u6587\u535a\u8ba4\u4e3a\uff0c\u5f53\u4e0b\u7684\u89c6\u9891\u751f\u6210\u6a21\u578b\u5c55\u73b0\u51fa\u4e86\u5f3a\u5927\u7684\u5185\u5bb9\u751f\u6210\u80fd\u529b\uff0c\u6709\u6f5c\u529b\u4f5c\u4e3a\u4e16\u754c\u6a21\u62df\u5668\u3002\u4f46\u662f\u7531\u4e8e\u5176\u672c\u8d28\u662f\u57282D\u7a7a\u95f4\u4e0a\u7684\u5efa\u6a21\uff0c\u6240\u4ee5\u4e0d\u80fd\u4fdd\u8bc13D\u5408\u7406\u6027\u4e0e\u4e00\u81f4\u6027\u3002<\/p>\n

\u4e3a\u6b64\uff0c\u80e1\u6587\u535a\u63d0\u51fa\uff0c\u7cbe\u786e\u76f8\u673a\u53ef\u63a7\u662f\u89c6\u9891\u751f\u6210\u6a21\u578b\u8fdb\u5316\u4e3a\u4e16\u754c\u6a21\u62df\u5668\u7684\u91cd\u8981\u4e00\u73af\uff0c\u5e76\u5728\u8fd9\u4e2a\u65b9\u5411\u505a\u4e86\u6df1\u5165\u7814\u7a76\uff0c\u63d0\u51faViewCrafter\u548cTrajectoryCrafter\u7684\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n

ViewCrafter\u80fd\u591f\u4ece\u5355\u5f20\u56fe\u7247\u6216\u8005\u7a00\u758f\u7684\u591a\u89c6\u89d2\u56fe\u7247\u8fdb\u884c\u9ad8\u8d28\u91cf\u7684\u65b0\u89c6\u89d2\u5408\u6210\uff0c\u4ece\u800c\u5b9e\u73b0\u9759\u6001\u573a\u666f\u7684\u751f\u6210\u3002<\/p>\n

TrajectoryCrafter\u5ef6\u7eed\u8fd9\u4e00\u601d\u60f3\uff0c\u5e76\u5c06\u5176\u62d3\u5c55\u5230\u4e864D\u573a\u666f\u751f\u6210\uff0c\u5141\u8bb8\u7528\u6237\u4f7f\u7528\u60f3\u8981\u7684\u76f8\u673a\u8f68\u8ff9\u6765\u91cd\u65b0\u201c\u62cd\u6444\u201d\u8f93\u5165\u89c6\u9891\uff0c\u4ece\u800c\u5b9e\u73b0\u63a2\u7d22\u89c6\u9891\u80cc\u540e\u76844D\u4e16\u754c\u3002<\/p>\n

\u96f7\u5cf0\u7f51\u4e86\u89e3\u5230\uff0c\u4f5c\u4e3a\u4e16\u754c\u6a21\u578b\u9886\u57df\u7684\u5148\u950b\u529b\u91cf\uff0c\u80e1\u6587\u535a\u7684\u7814\u7a76\u6b63\u5f15\u9886 AI \u4ece 2D \u89c6\u9891\u751f\u6210\u8fc8\u5411\u4e09\u7ef4\u7a7a\u95f4\u7406\u89e3\u7684\u65b0\u65f6\u4ee3\u3002<\/p>\n

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