{"id":29526,"date":"2025-03-28T23:08:15","date_gmt":"2025-03-28T15:08:15","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=29526"},"modified":"2025-03-28T23:08:15","modified_gmt":"2025-03-28T15:08:15","slug":"midi-3d","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/pt\/midi-3d\/","title":{"rendered":"MIDI-3D\uff1a\u4ece\u5355\u5f20\u56fe\u7247\u5feb\u901f\u751f\u6210\u591a\u7269\u4f533D\u573a\u666f\u7684\u5f00\u6e90\u5de5\u5177"},"content":{"rendered":"<p>MIDI-3D \u662f VAST-AI-Research \u56e2\u961f\u5f00\u53d1\u7684\u4e00\u4e2a\u5f00\u6e90\u9879\u76ee\uff0c\u5b83\u80fd\u4ece\u4e00\u5f20\u56fe\u7247\u5feb\u901f\u751f\u6210\u5305\u542b\u591a\u4e2a\u7269\u4f53\u76843D\u573a\u666f\uff0c\u9002\u5408\u5f00\u53d1\u8005\u3001\u7814\u7a76\u4eba\u5458\u548c\u521b\u4f5c\u8005\u4f7f\u7528\u3002\u8fd9\u4e2a\u5de5\u5177\u57fa\u4e8e\u591a\u5b9e\u4f8b\u6269\u6563\u6a21\u578b\u6280\u672f\uff0c\u7ed3\u5408\u4eba\u5de5\u667a\u80fd\u548c3D\u5efa\u6a21\uff0c\u80fd\u540c\u65f6\u751f\u6210\u591a\u4e2a\u9ad8\u8d28\u91cf3D\u7269\u4f53\uff0c\u5e76\u4fdd\u6301\u5b83\u4eec\u7684\u7a7a\u95f4\u5173\u7cfb\u3002MIDI-3D \u5728 2025 \u5e74 CVPR \u5927\u4f1a\u4e0a\u53d1\u5e03\uff0c\u4ee3\u7801\u3001\u6a21\u578b\u6743\u91cd\u548c\u5728\u7ebf\u6f14\u793a\u90fd\u5df2\u5f00\u653e\u3002\u5b83\u652f\u6301\u771f\u5b9e\u548c\u5361\u901a\u98ce\u683c\u7684\u56fe\u7247\u8f93\u5165\uff0c\u751f\u6210\u65f6\u95f4\u77ed\u81f340\u79d2\uff0c\u8f93\u51fa\u6587\u4ef6\u4e3a <code>.glb<\/code>\u00a0\u683c\u5f0f\uff0c\u53ef\u5728\u5176\u4ed6\u8f6f\u4ef6\u4e2d\u7f16\u8f91\u3002\u9879\u76ee\u65e8\u5728\u7b80\u53163D\u573a\u666f\u521b\u4f5c\uff0c\u8ba9\u66f4\u591a\u4eba\u80fd\u8f7b\u677e\u5236\u4f5c\u6570\u5b57\u8d44\u4ea7\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-29527\" title=\"MIDI-3D\uff1a\u4ece\u5355\u5f20\u56fe\u7247\u5feb\u901f\u751f\u6210\u591a\u7269\u4f533D\u573a\u666f\u7684\u5f00\u6e90\u5de5\u5177-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/4e246585023bf8d.png\" alt=\"MIDI-3D\uff1a\u4ece\u5355\u5f20\u56fe\u7247\u5feb\u901f\u751f\u6210\u591a\u7269\u4f533D\u573a\u666f\u7684\u5f00\u6e90\u5de5\u5177-1\" width=\"1035\" height=\"435\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/4e246585023bf8d.png 1035w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/4e246585023bf8d-768x323.png 768w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/4e246585023bf8d-18x8.png 18w\" sizes=\"auto, (max-width: 1035px) 100vw, 1035px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u4ece\u5355\u5f20\u56fe\u7247\u751f\u6210\u5305\u542b\u591a\u4e2a\u7269\u4f53\u76843D\u573a\u666f\uff0c\u652f\u6301\u771f\u5b9e\u548c\u5361\u901a\u98ce\u683c\u3002<\/li>\n<li>\u63d0\u4f9b\u56fe\u50cf\u5206\u5272\u529f\u80fd\uff0c\u81ea\u52a8\u8bc6\u522b\u5e76\u6807\u6ce8\u56fe\u7247\u4e2d\u7684\u7269\u4f53\u3002<\/li>\n<li>\u540c\u65f6\u751f\u6210\u591a\u4e2a\u53ef\u5206\u79bb\u76843D\u5b9e\u4f8b\uff0c\u81ea\u52a8\u7ec4\u5408\u6210\u5b8c\u6574\u573a\u666f\u3002<\/li>\n<li>\u652f\u6301\u547d\u4ee4\u884c\u64cd\u4f5c\u548c\u4ea4\u4e92\u5f0f\u7f51\u9875\u6f14\u793a\u4e24\u79cd\u65b9\u5f0f\u3002<\/li>\n<li>\u81ea\u52a8\u4e0b\u8f7d\u9884\u8bad\u7ec3\u6a21\u578b\u6743\u91cd\u5230\u672c\u5730\uff0c\u65b9\u4fbf\u5feb\u901f\u542f\u52a8\u3002<\/li>\n<li>\u8f93\u51fa\u00a0<code>.glb<\/code>\u00a0\u683c\u5f0f\u76843D\u6a21\u578b\u6587\u4ef6\uff0c\u53ef\u7528\u4e8e\u540e\u7eed\u7f16\u8f91\u6216\u5bfc\u5165\u5176\u4ed6\u8f6f\u4ef6\u3002<\/li>\n<li>\u751f\u6210\u8fc7\u7a0b\u9ad8\u6548\uff0c\u65e0\u9700\u9010\u4e2a\u7269\u4f53\u5efa\u6a21\u6216\u957f\u65f6\u95f4\u4f18\u5316\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<p>MIDI-3D \u7684\u4f7f\u7528\u5206\u4e3a\u5b89\u88c5\u548c\u64cd\u4f5c\u4e24\u90e8\u5206\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u6b65\u9aa4\uff0c\u5e2e\u52a9\u4f60\u4ece\u96f6\u5f00\u59cb\u4e0a\u624b\u3002<\/p>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<ol>\n<li><strong>\u51c6\u5907\u786c\u4ef6\u548c\u8f6f\u4ef6\u73af\u5883<\/strong><br \/>\n\u4f60\u9700\u8981\u4e00\u53f0\u652f\u6301 CUDA \u7684\u7535\u8111\uff0c\u56e0\u4e3a MIDI-3D \u4f9d\u8d56 GPU \u52a0\u901f\u3002\u63a8\u8350\u4f7f\u7528 NVIDIA GPU\uff0c\u663e\u5b58\u81f3\u5c11 6GB\u3002\u786e\u4fdd\u5b89\u88c5 Python 3.10 \u6216\u66f4\u9ad8\u7248\u672c\u3002<\/li>\n<li><strong>\u521b\u5efa\u865a\u62df\u73af\u5883\uff08\u53ef\u9009\uff09<\/strong><br \/>\n\u4e3a\u907f\u514d\u51b2\u7a81\uff0c\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a\u65b0\u7684 Conda \u73af\u5883\uff1a<\/li>\n<\/ol>\n<pre><code>conda create -n midi python=3.10\r\nconda activate midi\r\n<\/code><\/pre>\n<ol start=\"3\">\n<li><strong>\u5b89\u88c5 PyTorch<\/strong><br \/>\n\u6839\u636e\u4f60\u7684 GPU \u7684 CUDA \u7248\u672c\u5b89\u88c5 PyTorch\u3002\u6bd4\u5982\uff0c\u7528 CUDA 11.8 \u7684\u547d\u4ee4\u662f\uff1a<\/li>\n<\/ol>\n<pre><code>pip install torch torchvision --index-url https:\/\/download.pytorch.org\/whl\/cu118\r\n<\/code><\/pre>\n<p>\u5982\u679c\u7248\u672c\u4e0d\u540c\uff0c\u8bf7\u8bbf\u95ee\u00a0https:\/\/pytorch.org\/get-started\/locally\/\u00a0\u9009\u62e9\u5bf9\u5e94\u547d\u4ee4\u3002<\/p>\n<ol start=\"4\">\n<li><strong>\u4e0b\u8f7d\u9879\u76ee\u4ee3\u7801<\/strong><br \/>\n\u5728\u7ec8\u7aef\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff0c\u514b\u9686 MIDI-3D \u4ed3\u5e93\uff1a<\/li>\n<\/ol>\n<pre><code>git clone https:\/\/github.com\/VAST-AI-Research\/MIDI-3D.git\r\ncd MIDI-3D\r\n<\/code><\/pre>\n<ol start=\"5\">\n<li><strong>\u5b89\u88c5\u4f9d\u8d56<\/strong><br \/>\n\u9879\u76ee\u63d0\u4f9b\u00a0<code>requirements.txt<\/code>\u00a0\u6587\u4ef6\uff0c\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\u6240\u6709\u4f9d\u8d56\uff1a<\/li>\n<\/ol>\n<pre><code>pip install -r requirements.txt\r\n<\/code><\/pre>\n<ol start=\"6\">\n<li><strong>\u83b7\u53d6\u6a21\u578b\u6743\u91cd<\/strong><br \/>\n\u8fd0\u884c\u811a\u672c\u65f6\uff0cMIDI-3D \u4f1a\u81ea\u52a8\u4ece\u00a0https:\/\/huggingface.co\/VAST-AI\/MIDI-3D\u00a0\u4e0b\u8f7d\u9884\u8bad\u7ec3\u6a21\u578b\uff0c\u4fdd\u5b58\u5230\u00a0<code>pretrained_weights\/MIDI-3D<\/code>\u00a0\u6587\u4ef6\u5939\u3002\u5982\u679c\u7f51\u7edc\u4e0d\u7a33\u5b9a\uff0c\u4e5f\u53ef\u4ee5\u624b\u52a8\u4e0b\u8f7d\u5e76\u89e3\u538b\u5230\u8be5\u8def\u5f84\u3002<\/li>\n<\/ol>\n<h3>\u64cd\u4f5c\u6d41\u7a0b<\/h3>\n<p>MIDI-3D \u652f\u6301\u4e24\u79cd\u4f7f\u7528\u65b9\u5f0f\uff1a\u547d\u4ee4\u884c\u548c\u4ea4\u4e92\u5f0f\u6f14\u793a\u3002\u4ee5\u4e0b\u662f\u5177\u4f53\u6b65\u9aa4\u3002<\/p>\n<h4>\u547d\u4ee4\u884c\u64cd\u4f5c<\/h4>\n<ol>\n<li><strong>\u751f\u6210\u5206\u5272\u56fe<\/strong><br \/>\nMIDI-3D \u9700\u8981\u4e00\u5f20\u56fe\u7247\u548c\u5bf9\u5e94\u7684\u5206\u5272\u56fe\uff08\u6807\u6ce8\u7269\u4f53\u533a\u57df\uff09\u3002\u53ef\u4ee5\u7528\u81ea\u5e26\u7684 Grounded SAM \u811a\u672c\u751f\u6210\u5206\u5272\u56fe\u3002\u6bd4\u5982\uff0c\u4f60\u6709\u4e00\u5f20\u56fe\u7247\u00a0<code>04_rgb.png<\/code>\uff0c\u8fd0\u884c\uff1a<\/li>\n<\/ol>\n<pre><code>python -m scripts.grounding_sam --image assets\/example_data\/Cartoon-Style\/04_rgb.png --labels \"lamp sofa table dog\" --output .\/segmentation.png\r\n<\/code><\/pre>\n<ul>\n<li><code>--image<\/code>\u00a0\u6307\u5b9a\u8f93\u5165\u56fe\u7247\u8def\u5f84\u3002<\/li>\n<li><code>--labels<\/code>\u00a0\u8f93\u5165\u56fe\u7247\u4e2d\u7269\u4f53\u7684\u540d\u79f0\uff0c\u7528\u7a7a\u683c\u5206\u9694\u3002<\/li>\n<li><code>--output<\/code>\u00a0\u6307\u5b9a\u5206\u5272\u56fe\u4fdd\u5b58\u8def\u5f84\u3002<br \/>\n\u8fd0\u884c\u540e\uff0c\u4f1a\u751f\u6210\u4e00\u4e2a\u00a0<code>segmentation.png<\/code>\u00a0\u6587\u4ef6\u3002<\/li>\n<\/ul>\n<ol start=\"2\">\n<li><strong>\u751f\u62103D\u573a\u666f<\/strong><br \/>\n\u7528\u56fe\u7247\u548c\u5206\u5272\u56fe\u751f\u62103D\u573a\u666f\uff0c\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/li>\n<\/ol>\n<pre><code>python -m scripts.inference_midi --rgb assets\/example_data\/Cartoon-Style\/00_rgb.png --seg assets\/example_data\/Cartoon-Style\/00_seg.png --output-dir \".\/output\"\r\n<\/code><\/pre>\n<ul>\n<li><code>--rgb<\/code>\u00a0\u662f\u539f\u56fe\u8def\u5f84\u3002<\/li>\n<li><code>--seg<\/code>\u00a0\u662f\u5206\u5272\u56fe\u8def\u5f84\u3002<\/li>\n<li><code>--output-dir<\/code>\u00a0\u662f\u8f93\u51fa\u6587\u4ef6\u5939\u8def\u5f84\u3002<br \/>\n\u751f\u6210\u76843D\u573a\u666f\u4f1a\u4fdd\u5b58\u4e3a\u00a0<code>output.glb<\/code>\u00a0\u6587\u4ef6\uff0c\u901a\u5e38\u9700\u898140\u79d2\u52301\u5206\u949f\u3002\u5982\u679c\u7269\u4f53\u9760\u8fd1\u56fe\u7247\u8fb9\u7f18\uff0c\u5efa\u8bae\u52a0\u53c2\u6570\u00a0<code>--do-image-padding<\/code>\uff0c\u5982\uff1a<\/li>\n<\/ul>\n<pre><code>python -m scripts.inference_midi --rgb 00_rgb.png --seg 00_seg.png --output-dir \".\/output\" --do-image-padding\r\n<\/code><\/pre>\n<h4>\u4ea4\u4e92\u5f0f\u6f14\u793a<\/h4>\n<ol>\n<li><strong>\u542f\u52a8\u6f14\u793a<\/strong><br \/>\n\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u542f\u52a8 Gradio \u754c\u9762\uff1a<\/li>\n<\/ol>\n<pre><code>python gradio_demo.py\r\n<\/code><\/pre>\n<p>\u7cfb\u7edf\u4f1a\u81ea\u52a8\u6253\u5f00\u6d4f\u89c8\u5668\uff0c\u663e\u793a\u64cd\u4f5c\u9875\u9762\u3002\u4f60\u4e5f\u53ef\u4ee5\u8bbf\u95ee\u5728\u7ebf\u6f14\u793a\uff1ahttps:\/\/huggingface.co\/spaces\/VAST-AI\/MIDI-3D\u3002<\/p>\n<ol start=\"2\">\n<li><strong>\u4e0a\u4f20\u56fe\u7247\u5e76\u5206\u5272<\/strong><br \/>\n\u5728\u754c\u9762\u70b9\u51fb\u201cInput Image\u201d\u4e0a\u4f20\u56fe\u7247\u3002\u7136\u540e\u7528\u9f20\u6807\u6846\u9009\u7269\u4f53\u533a\u57df\uff0c\u7cfb\u7edf\u4f1a\u81ea\u52a8\u751f\u6210\u5206\u5272\u56fe\uff0c\u663e\u793a\u5728\u201cSegmentation Result\u201d\u4e2d\u3002<\/li>\n<li><strong>\u751f\u62103D\u573a\u666f<\/strong><br \/>\n\u70b9\u51fb\u201cRun Segmentation\u201d\u786e\u8ba4\u5206\u5272\u56fe\u540e\uff0c\u8c03\u6574\u53c2\u6570\uff08\u5982\u968f\u673a\u79cd\u5b50\uff09\uff0c\u518d\u70b9\u51fb\u751f\u6210\u6309\u94ae\u3002\u51e0\u79d2\u540e\uff0c\u754c\u9762\u4f1a\u663e\u793a3D\u6a21\u578b\uff0c\u70b9\u51fb\u4e0b\u8f7d\u5f97\u5230\u00a0<code>.glb<\/code>\u00a0\u6587\u4ef6\u3002<\/li>\n<\/ol>\n<h3>\u529f\u80fd\u64cd\u4f5c\u8be6\u89e3<\/h3>\n<ul>\n<li><strong>\u56fe\u50cf\u5206\u5272<\/strong><br \/>\nGrounded SAM \u662f MIDI-3D \u7684\u9884\u5904\u7406\u5de5\u5177\uff0c\u80fd\u81ea\u52a8\u8bc6\u522b\u56fe\u7247\u4e2d\u7684\u7269\u4f53\u5e76\u751f\u6210\u5206\u5272\u56fe\u3002\u4f60\u53ef\u4ee5\u8f93\u5165\u7269\u4f53\u540d\u79f0\uff08\u5982\u201clamp sofa\u201d\uff09\uff0c\u4e5f\u53ef\u4ee5\u5728\u4ea4\u4e92\u754c\u9762\u624b\u52a8\u6846\u9009\u3002\u5b83\u652f\u6301\u591a\u7269\u4f53\u573a\u666f\uff0c\u5206\u5272\u7cbe\u5ea6\u9ad8\u3002<\/li>\n<li><strong>\u591a\u7269\u4f533D\u751f\u6210<\/strong><br \/>\nMIDI-3D \u4f7f\u7528\u591a\u5b9e\u4f8b\u6269\u6563\u6a21\u578b\uff0c\u80fd\u540c\u65f6\u751f\u6210\u591a\u4e2a3D\u7269\u4f53\uff0c\u5e76\u4fdd\u6301\u5b83\u4eec\u7684\u7a7a\u95f4\u5173\u7cfb\u3002\u6bd4\u5982\uff0c\u4e00\u5f20\u5ba2\u5385\u56fe\u7247\u53ef\u4ee5\u751f\u6210\u6c99\u53d1\u3001\u684c\u5b50\u548c\u706f\u76843D\u6a21\u578b\uff0c\u76f4\u63a5\u7ec4\u6210\u5b8c\u6574\u573a\u666f\u3002\u5b83\u6bd4\u4f20\u7edf\u9010\u4e2a\u7269\u4f53\u751f\u6210\u7684\u65b9\u6cd5\u66f4\u5feb\u3002<\/li>\n<li><strong>\u6a21\u578b\u8f93\u51fa<\/strong><br \/>\n\u751f\u6210\u7684\u00a0<code>.glb<\/code>\u00a0\u6587\u4ef6\u517c\u5bb9 Blender\u3001Unity \u7b49\u8f6f\u4ef6\u3002\u4f60\u53ef\u4ee5\u5bfc\u5165\u6587\u4ef6\uff0c\u8c03\u6574\u6750\u8d28\u3001\u706f\u5149\u6216\u6dfb\u52a0\u52a8\u753b\uff0c\u6ee1\u8db3\u4e0d\u540c\u9700\u6c42\u3002<\/li>\n<\/ul>\n<h3>\u8865\u5145\u8d44\u6e90<\/h3>\n<ul>\n<li><strong>\u6559\u5b66\u89c6\u9891<\/strong><br \/>\n\u5b98\u65b9\u63d0\u4f9b\u4e86\u4e00\u4e2a\u64cd\u4f5c\u89c6\u9891\uff08https:\/\/github.com\/VAST-AI-Research\/MIDI-3D\u00a0\u4e2d\u67e5\u770b\uff09\uff0c\u8be6\u7ec6\u6f14\u793a\u4e86\u4ece\u4e0a\u4f20\u56fe\u7247\u5230\u751f\u62103D\u573a\u666f\u7684\u6d41\u7a0b\u3002<\/li>\n<li><strong>\u8bba\u6587\u53c2\u8003<\/strong><br \/>\n\u60f3\u4e86\u89e3\u6280\u672f\u7ec6\u8282\uff0c\u53ef\u4ee5\u9605\u8bfb\u8bba\u6587\uff1ahttps:\/\/arxiv.org\/abs\/2412.03558\u3002<\/li>\n<\/ul>\n<h3>\u5e38\u89c1\u95ee\u9898\u89e3\u51b3<\/h3>\n<ul>\n<li>\u5982\u679c\u751f\u6210\u5931\u8d25\uff0c\u68c0\u67e5 GPU \u662f\u5426\u652f\u6301\uff0c\u6216\u8005\u786e\u8ba4\u5206\u5272\u56fe\u662f\u5426\u6b63\u786e\u3002<\/li>\n<li>\u5982\u679c\u7269\u4f53\u7ec6\u8282\u7f3a\u5931\uff0c\u5c1d\u8bd5\u7528\u66f4\u9ad8\u5206\u8fa8\u7387\u7684\u56fe\u7247\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u6e38\u620f\u5f00\u53d1<\/strong><br 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