{"id":32865,"date":"2025-07-20T13:28:13","date_gmt":"2025-07-20T05:28:13","guid":{"rendered":"https:\/\/www.kdjingpai.com\/?p=32865"},"modified":"2025-07-20T13:28:13","modified_gmt":"2025-07-20T05:28:13","slug":"diffuman4d","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/de\/diffuman4d\/","title":{"rendered":"Diffuman4D: \u4ece\u7a00\u758f\u89c6\u9891\u751f\u6210\u9ad8\u4fdd\u771f4D\u4eba\u4f53\u89c6\u56fe"},"content":{"rendered":"<p>Diffuman4D \u662f\u4e00\u4e2a\u7531\u6d59\u6c5f\u5927\u5b66 ZJU3DV \u7814\u7a76\u56e2\u961f\u5f00\u53d1\u7684\u9879\u76ee\uff0c\u4e13\u6ce8\u4e8e\u4ece\u7a00\u758f\u89c6\u56fe\u89c6\u9891\u751f\u6210\u9ad8\u4fdd\u771f\u76844D\u4eba\u4f53\u89c6\u56fe\u3002\u9879\u76ee\u7ed3\u5408\u4e86\u65f6\u7a7a\u6269\u6563\u6a21\u578b\u548c 4DGS\uff084D Gaussian Splatting\uff09\u6280\u672f\uff0c\u89e3\u51b3\u4e86\u4f20\u7edf\u65b9\u6cd5\u5728\u7a00\u758f\u8f93\u5165\u4e0b\u96be\u4ee5\u751f\u6210\u9ad8\u8d28\u91cf\u89c6\u56fe\u7684\u95ee\u9898\u3002\u5b83\u901a\u8fc7\u751f\u6210\u591a\u89c6\u89d2\u4e00\u81f4\u7684\u89c6\u9891\uff0c\u7ed3\u5408\u8f93\u5165\u89c6\u9891\u91cd\u5efa\u9ad8\u5206\u8fa8\u7387\uff081024p\uff09\u76844D\u6a21\u578b\uff0c\u652f\u6301\u5b9e\u65f6\u81ea\u7531\u89c6\u89d2\u6e32\u67d3\u3002\u8be5\u9879\u76ee\u9002\u7528\u4e8e\u9700\u8981\u9ad8\u7cbe\u5ea6\u4eba\u4f53\u8fd0\u52a8\u6355\u6349\u548c\u6e32\u67d3\u7684\u573a\u666f\uff0c\u5982\u865a\u62df\u73b0\u5b9e\u3001\u52a8\u753b\u5236\u4f5c\u7b49\u3002\u4ee3\u7801\u548c\u6a21\u578b\u5df2\u5728 GitHub \u5f00\u6e90\uff0c\u7814\u7a76\u6210\u679c\u5df2\u88ab ICCV 2025 \u63a5\u6536\u3002<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u4ece\u7a00\u758f\u89c6\u56fe\u89c6\u9891\u751f\u6210\u65f6\u7a7a\u4e00\u81f4\u7684\u591a\u89c6\u89d2\u89c6\u9891\u3002<\/li>\n<li>\u57fa\u4e8e\u751f\u6210\u89c6\u9891\u548c\u8f93\u5165\u89c6\u9891\uff0c\u6784\u5efa\u9ad8\u4fdd\u771f 4DGS \u6a21\u578b\u3002<\/li>\n<li>\u652f\u6301\u5b9e\u65f6\u81ea\u7531\u89c6\u89d2\u6e32\u67d3\uff0c\u5448\u73b0\u590d\u6742\u670d\u88c5\u548c\u52a8\u6001\u52a8\u4f5c\u3002<\/li>\n<li>\u63d0\u4f9b Skeleton-Pl\u00fccker \u6761\u4ef6\u7f16\u7801\uff0c\u589e\u5f3a\u89c6\u9891\u751f\u6210\u4e00\u81f4\u6027\u3002<\/li>\n<li>\u4f7f\u7528 LongVolcap \u6280\u672f\u8fdb\u884c 4DGS \u91cd\u5efa\uff0c\u4f18\u5316\u6e32\u67d3\u8d28\u91cf\u3002<\/li>\n<li>\u5f00\u6e90\u4ee3\u7801\u548c\u6a21\u578b\uff0c\u4f9b\u7814\u7a76\u4eba\u5458\u548c\u5f00\u53d1\u8005\u4f7f\u7528\u3002<\/li>\n<\/ul>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<ol>\n<li><strong>\u73af\u5883\u51c6\u5907<\/strong><br \/>\n\u786e\u4fdd\u7cfb\u7edf\u5b89\u88c5\u4e86 Python 3.8 \u6216\u4ee5\u4e0a\u7248\u672c\uff0c\u63a8\u8350\u4f7f\u7528\u865a\u62df\u73af\u5883\u4ee5\u907f\u514d\u4f9d\u8d56\u51b2\u7a81\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u521b\u5efa\u865a\u62df\u73af\u5883\uff1a<\/p>\n<pre><code>python -m venv diffuman4d_env\r\nsource diffuman4d_env\/bin\/activate  # Linux\/Mac\r\ndiffuman4d_env\\Scripts\\activate  # Windows\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u514b\u9686\u4ee3\u7801\u5e93<\/strong><br \/>\n\u5728\u7ec8\u7aef\u6216\u547d\u4ee4\u884c\u4e2d\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff0c\u4e0b\u8f7d Diffuman4D \u4ee3\u7801\uff1a<\/p>\n<pre><code>git clone https:\/\/github.com\/zju3dv\/Diffuman4D.git\r\ncd Diffuman4D\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u5b89\u88c5\u4f9d\u8d56<\/strong><br \/>\n\u9879\u76ee\u4f9d\u8d56\u5305\u62ec PyTorch\u3001NumPy\u3001OpenCV \u7b49\u5e93\u3002\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\u6240\u6709\u4f9d\u8d56\uff1a<\/p>\n<pre><code>pip install -r requirements.txt\r\n<\/code><\/pre>\n<p>\u5982\u679c\u9700\u8981 GPU \u652f\u6301\uff0c\u786e\u4fdd\u5b89\u88c5\u4e0e CUDA \u7248\u672c\u517c\u5bb9\u7684 PyTorch\u3002\u53ef\u4ee5\u901a\u8fc7\u00a0<code>pip install torch torchvision<\/code>\u00a0\u5b89\u88c5\u6700\u65b0\u7248 PyTorch\u3002<\/li>\n<li><strong>\u4e0b\u8f7d\u9884\u8bad\u7ec3\u6a21\u578b<\/strong><br \/>\n\u9879\u76ee\u63d0\u4f9b\u9884\u8bad\u7ec3\u6a21\u578b\uff0c\u9700\u4ece GitHub \u53d1\u5e03\u9875\u9762\u6216\u5b98\u65b9\u6587\u6863\u6307\u5b9a\u7684\u94fe\u63a5\u4e0b\u8f7d\u3002\u4e0b\u8f7d\u540e\uff0c\u5c06\u6a21\u578b\u6587\u4ef6\u89e3\u538b\u5230\u9879\u76ee\u6839\u76ee\u5f55\u4e0b\u7684\u00a0<code>pretrained_models<\/code>\u00a0\u6587\u4ef6\u5939\u3002<\/li>\n<li><strong>\u9a8c\u8bc1\u5b89\u88c5<\/strong><br \/>\n\u8fd0\u884c\u793a\u4f8b\u811a\u672c\u68c0\u67e5\u73af\u5883\u662f\u5426\u6b63\u786e\u914d\u7f6e\uff1a<\/p>\n<pre><code>python scripts\/test_setup.py\r\n<\/code><\/pre>\n<p>\u5982\u679c\u6ca1\u6709\u62a5\u9519\uff0c\u8bf4\u660e\u73af\u5883\u914d\u7f6e\u6210\u529f\u3002<\/li>\n<\/ol>\n<h3>\u4f7f\u7528\u65b9\u6cd5<\/h3>\n<h4>1. \u6570\u636e\u51c6\u5907<\/h4>\n<ul>\n<li><strong>\u8f93\u5165\u89c6\u9891<\/strong>\uff1a\u51c6\u5907\u81f3\u5c11\u4e24\u6bb5\u7a00\u758f\u89c6\u89d2\u7684\u89c6\u9891\uff0c\u63a8\u8350\u5206\u8fa8\u7387\u4e3a 720p \u6216\u4ee5\u4e0a\uff0c\u683c\u5f0f\u652f\u6301 MP4 \u6216 AVI\u3002\u89c6\u9891\u9700\u5305\u542b\u4eba\u4f53\u52a8\u4f5c\uff0c\u80cc\u666f\u5c3d\u91cf\u7b80\u5355\u4ee5\u51cf\u5c11\u5e72\u6270\u3002<\/li>\n<li><strong>\u9aa8\u67b6\u6570\u636e<\/strong>\uff1a\u9879\u76ee\u4f7f\u7528 Skeleton-Pl\u00fccker \u6761\u4ef6\u7f16\u7801\uff0c\u9700\u63d0\u4f9b\u9aa8\u67b6\u6570\u636e\uff08\u53ef\u901a\u8fc7 OpenPose \u6216 MediaPipe \u63d0\u53d6\uff09\u3002\u9aa8\u67b6\u6570\u636e\u4ee5 JSON \u683c\u5f0f\u5b58\u50a8\uff0c\u5305\u542b\u5173\u952e\u70b9\u5750\u6807\u548c\u65f6\u95f4\u6233\u3002<\/li>\n<li><strong>\u5b58\u50a8\u8def\u5f84<\/strong>\uff1a\u5c06\u8f93\u5165\u89c6\u9891\u548c\u9aa8\u67b6\u6570\u636e\u653e\u5165\u9879\u76ee\u76ee\u5f55\u4e0b\u7684\u00a0<code>data\/input<\/code>\u00a0\u6587\u4ef6\u5939\uff0c\u786e\u4fdd\u6587\u4ef6\u540d\u4e0e\u914d\u7f6e\u6587\u4ef6\u5bf9\u5e94\u3002<\/li>\n<\/ul>\n<h4>2. \u751f\u6210\u591a\u89c6\u89d2\u89c6\u9891<\/h4>\n<ul>\n<li>\u8fd0\u884c\u751f\u6210\u811a\u672c\uff0c\u8c03\u7528\u65f6\u7a7a\u6269\u6563\u6a21\u578b\u751f\u6210\u591a\u89c6\u89d2\u4e00\u81f4\u89c6\u9891\uff1a\n<pre><code>python scripts\/generate_views.py --input_dir data\/input --output_dir data\/output --model_path pretrained_models\/diffuman4d.pth\r\n<\/code><\/pre>\n<\/li>\n<li>\u53c2\u6570\u8bf4\u660e\uff1a\n<ul>\n<li><code>--input_dir<\/code>\uff1a\u8f93\u5165\u89c6\u9891\u548c\u9aa8\u67b6\u6570\u636e\u7684\u6587\u4ef6\u5939\u8def\u5f84\u3002<\/li>\n<li><code>--output_dir<\/code>\uff1a\u751f\u6210\u89c6\u9891\u7684\u4fdd\u5b58\u8def\u5f84\u3002<\/li>\n<li><code>--model_path<\/code>\uff1a\u9884\u8bad\u7ec3\u6a21\u578b\u8def\u5f84\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u751f\u6210\u7684\u89c6\u9891\u5c06\u4fdd\u5b58\u5728\u00a0<code>data\/output<\/code>\u00a0\u6587\u4ef6\u5939\uff0c\u5206\u8fa8\u7387\u4e3a 1024p\uff0c\u652f\u6301\u591a\u89c6\u89d2\u4e00\u81f4\u6027\u3002<\/li>\n<\/ul>\n<h4>3. \u91cd\u5efa 4DGS \u6a21\u578b<\/h4>\n<ul>\n<li>\u4f7f\u7528 LongVolcap \u6280\u672f\uff0c\u5c06\u8f93\u5165\u89c6\u9891\u548c\u751f\u6210\u89c6\u9891\u5408\u6210\u4e3a 4DGS \u6a21\u578b\uff1a\n<pre><code>python scripts\/reconstruct_4dgs.py --input_dir data\/input --generated_dir data\/output --output_model models\/4dgs_output.ply\r\n<\/code><\/pre>\n<\/li>\n<li>\u53c2\u6570\u8bf4\u660e\uff1a\n<ul>\n<li><code>--input_dir<\/code>\uff1a\u539f\u59cb\u8f93\u5165\u89c6\u9891\u8def\u5f84\u3002<\/li>\n<li><code>--generated_dir<\/code>\uff1a\u751f\u6210\u89c6\u9891\u8def\u5f84\u3002<\/li>\n<li><code>--output_model<\/code>\uff1a\u8f93\u51fa\u7684 4DGS \u6a21\u578b\u6587\u4ef6\u8def\u5f84\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u751f\u6210\u7684\u6a21\u578b\u652f\u6301\u5b9e\u65f6\u6e32\u67d3\uff0c\u53ef\u5728\u652f\u6301 4DGS \u7684\u6e32\u67d3\u5f15\u64ce\uff08\u5982 Unity \u6216 Unreal Engine\uff09\u4e2d\u67e5\u770b\u3002<\/li>\n<\/ul>\n<h4>4. \u5b9e\u65f6\u6e32\u67d3<\/h4>\n<ul>\n<li>\u5c06\u751f\u6210\u7684 4DGS \u6a21\u578b\u5bfc\u5165\u6e32\u67d3\u5f15\u64ce\uff0c\u8c03\u6574\u89c6\u89d2\u5373\u53ef\u5b9e\u73b0\u81ea\u7531\u89c6\u89d2\u6e32\u67d3\u3002\u63a8\u8350\u4f7f\u7528\u9ad8\u6027\u80fd GPU\uff08\u5982 NVIDIA RTX \u7cfb\u5217\uff09\u4ee5\u786e\u4fdd\u6d41\u7545\u6027\u3002<\/li>\n<li>\u9879\u76ee\u63d0\u4f9b\u793a\u4f8b\u811a\u672c\u00a0<code>render_example.py<\/code>\uff0c\u53ef\u76f4\u63a5\u8fd0\u884c\u67e5\u770b\u6e32\u67d3\u6548\u679c\uff1a\n<pre><code>python scripts\/render_example.py --model_path models\/4dgs_output.ply\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<h4>5. \u7279\u8272\u529f\u80fd\u64cd\u4f5c<\/h4>\n<ul>\n<li><strong>Skeleton-Pl\u00fccker \u7f16\u7801<\/strong>\uff1a\u901a\u8fc7\u9aa8\u67b6\u6570\u636e\u548c Pl\u00fccker \u5750\u6807\u589e\u5f3a\u751f\u6210\u89c6\u9891\u7684\u65f6\u7a7a\u4e00\u81f4\u6027\u3002\u7528\u6237\u9700\u5728\u914d\u7f6e\u6587\u4ef6\u00a0<code>config.yaml<\/code>\u00a0\u4e2d\u6307\u5b9a\u9aa8\u67b6\u6570\u636e\u8def\u5f84\u548c\u76ee\u6807\u89c6\u89d2\u53c2\u6570\uff1a\n<pre><code>skeleton_path: data\/input\/skeleton.json\r\ntarget_views: [0, 45, 90, 135]\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u9ad8\u4fdd\u771f\u6e32\u67d3<\/strong>\uff1a4DGS \u6a21\u578b\u652f\u6301\u590d\u6742\u670d\u88c5\u548c\u52a8\u6001\u52a8\u4f5c\u7684\u6e32\u67d3\u3002\u7528\u6237\u53ef\u5728\u6e32\u67d3\u65f6\u8c03\u6574\u5149\u7167\u548c\u6750\u8d28\u53c2\u6570\uff0c\u4f18\u5316\u89c6\u89c9\u6548\u679c\u3002<\/li>\n<li><strong>\u5f00\u6e90\u8d44\u6e90<\/strong>\uff1a\u9879\u76ee\u63d0\u4f9b\u8be6\u7ec6\u6587\u6863\u548c\u793a\u4f8b\u6570\u636e\u96c6\uff0c\u4f4d\u4e8e\u00a0<code>docs\/<\/code>\u00a0\u548c\u00a0<code>data\/example\/<\/code>\u00a0\u6587\u4ef6\u5939\uff0c\u65b9\u4fbf\u7528\u6237\u5feb\u901f\u4e0a\u624b\u3002<\/li>\n<\/ul>\n<h3>\u6ce8\u610f\u4e8b\u9879<\/h3>\n<ul>\n<li><strong>\u786c\u4ef6\u8981\u6c42<\/strong>\uff1a\u751f\u6210\u548c\u91cd\u5efa\u8fc7\u7a0b\u9700\u8981\u81f3\u5c11 16GB \u5185\u5b58\u548c 8GB VRAM \u7684 GPU\u3002\u63a8\u8350\u4f7f\u7528 NVIDIA GPU \u4ee5\u83b7\u5f97\u6700\u4f73\u6027\u80fd\u3002<\/li>\n<li><strong>\u6570\u636e\u8d28\u91cf<\/strong>\uff1a\u8f93\u5165\u89c6\u9891\u8d28\u91cf\u76f4\u63a5\u5f71\u54cd\u751f\u6210\u7ed3\u679c\uff0c\u5efa\u8bae\u4f7f\u7528\u6e05\u6670\u3001\u65e0\u906e\u6321\u7684\u89c6\u9891\u3002<\/li>\n<li><strong>\u8c03\u8bd5\u652f\u6301<\/strong>\uff1a\u5982\u679c\u9047\u5230\u95ee\u9898\uff0c\u53ef\u53c2\u8003\u00a0<code>docs\/troubleshooting.md<\/code>\u00a0\u6216\u63d0\u4ea4 GitHub Issue\u3002<\/li>\n<\/ul>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u865a\u62df\u73b0\u5b9e\u4e0e\u6e38\u620f\u5f00\u53d1<\/strong><br \/>\nDiffuman4D \u53ef\u751f\u6210\u9ad8\u4fdd\u771f\u7684 4D \u4eba\u4f53\u6a21\u578b\uff0c\u9002\u7528\u4e8e VR \u6e38\u620f\u6216\u865a\u62df\u89d2\u8272\u521b\u5efa\u3002\u5f00\u53d1\u8005\u53ea\u9700\u63d0\u4f9b\u51e0\u6bb5\u624b\u673a\u62cd\u6444\u7684\u89c6\u9891\uff0c\u5373\u53ef\u751f\u6210\u53ef\u5728\u4e0d\u540c\u89c6\u89d2\u6e32\u67d3\u7684\u52a8\u6001\u89d2\u8272\uff0c\u964d\u4f4e\u4e13\u4e1a\u8bbe\u5907\u6210\u672c\u3002<\/li>\n<li><strong>\u5f71\u89c6\u4e0e\u52a8\u753b\u5236\u4f5c<\/strong><br \/>\n\u52a8\u753b\u5e08\u53ef\u5229\u7528 Diffuman4D \u4ece\u5c11\u91cf\u89c6\u9891\u751f\u6210\u9ad8\u8d28\u91cf\u52a8\u4f5c\u5e8f\u5217\uff0c\u7528\u4e8e\u7535\u5f71\u6216\u52a8\u753b\u4e2d\u7684\u865a\u62df\u89d2\u8272\u6e32\u67d3\uff0c\u7279\u522b\u9002\u5408\u9700\u8981\u590d\u6742\u670d\u88c5\u6216\u52a8\u6001\u52a8\u4f5c\u7684\u573a\u666f\u3002<\/li>\n<li><strong>\u52a8\u4f5c\u6355\u6349\u7814\u7a76<\/strong><br \/>\n\u7814\u7a76\u4eba\u5458\u53ef\u4f7f\u7528 Diffuman4D \u8fdb\u884c 4D 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