{"id":29737,"date":"2025-04-01T23:56:21","date_gmt":"2025-04-01T15:56:21","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=29737"},"modified":"2025-04-01T23:56:21","modified_gmt":"2025-04-01T15:56:21","slug":"genxd","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/ja\/genxd\/","title":{"rendered":"GenXD\uff1a\u751f\u6210\u4efb\u610f3D\u548c4D\u573a\u666f\u89c6\u9891\u7684\u5f00\u6e90\u6846\u67b6"},"content":{"rendered":"<p>GenXD \u662f\u4e00\u4e2a\u5f00\u6e90\u9879\u76ee\uff0c\u7531\u65b0\u52a0\u5761\u56fd\u7acb\u5927\u5b66\uff08NUS\uff09\u548c\u5fae\u8f6f\u56e2\u961f\u5f00\u53d1\u3002\u5b83\u4e13\u6ce8\u4e8e\u751f\u6210\u4efb\u610f 3D \u548c 4D \u573a\u666f\uff0c\u89e3\u51b3\u771f\u5b9e\u4e16\u754c\u4e2d 3D \u548c 4D \u751f\u6210\u56e0\u6570\u636e\u4e0d\u8db3\u548c\u6a21\u578b\u8bbe\u8ba1\u590d\u6742\u5e26\u6765\u7684\u96be\u9898\u3002\u9879\u76ee\u901a\u8fc7\u5206\u6790\u76f8\u673a\u548c\u5bf9\u8c61\u8fd0\u52a8\uff0c\u7ed3\u5408\u5927\u89c4\u6a21\u771f\u5b9e\u6570\u636e\uff0c\u6784\u5efa\u4e86\u4e00\u4e2a\u7075\u6d3b\u7684\u751f\u6210\u6846\u67b6\u3002GenXD \u63d0\u4f9b\u4e86\u9996\u4e2a\u5f00\u6e90 4D \u6570\u636e\u96c6 CamVid-30K\uff0c\u5305\u542b 3 \u4e07\u591a\u6bb5\u89c6\u9891\u7684\u76f8\u673a\u59ff\u6001\u548c\u8fd0\u52a8\u4fe1\u606f\u3002\u7528\u6237\u53ef\u4ee5\u7528\u5b83\u751f\u6210\u7b26\u5408\u76f8\u673a\u8f68\u8ff9\u7684\u89c6\u9891\u6216\u4e00\u81f4\u7684 3D \u89c6\u56fe\u3002\u9879\u76ee\u5df2\u4e8e 2025 \u5e74 1 \u6708\u88ab ICLR 2025 \u63a5\u6536\uff0c\u5e76\u5728 GitHub \u4e0a\u83b7\u5f97\u5e7f\u6cdb\u5173\u6ce8\uff0c\u9002\u5408\u7814\u7a76\u8005\u548c\u5f00\u53d1\u8005\u4f7f\u7528\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-29739\" title=\"GenXD\uff1a\u751f\u6210\u4efb\u610f3D\u548c4D\u573a\u666f\u89c6\u9891\u7684\u5f00\u6e90\u6846\u67b6-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/52171ea78a331af.png\" alt=\"GenXD\uff1a\u751f\u6210\u4efb\u610f3D\u548c4D\u573a\u666f\u89c6\u9891\u7684\u5f00\u6e90\u6846\u67b6-1\" width=\"541\" height=\"327\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/52171ea78a331af.png 541w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/52171ea78a331af-18x12.png 18w\" sizes=\"auto, (max-width: 541px) 100vw, 541px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u751f\u6210\u4efb\u610f 3D \u573a\u666f\uff0c\u652f\u6301\u591a\u89c6\u89d2\u4e00\u81f4\u7684 3D \u89c6\u56fe\u8f93\u51fa\u3002<\/li>\n<li>\u751f\u6210 4D \u52a8\u6001\u573a\u666f\uff0c\u53ef\u5236\u4f5c\u968f\u65f6\u95f4\u53d8\u5316\u7684\u89c6\u9891\u3002<\/li>\n<li>\u5206\u89e3\u76f8\u673a\u548c\u5bf9\u8c61\u8fd0\u52a8\uff0c\u786e\u4fdd\u751f\u6210\u5185\u5bb9\u81ea\u7136\u6d41\u7545\u3002<\/li>\n<li>\u63d0\u4f9b CamVid-30K \u6570\u636e\u96c6\uff0c\u652f\u6301\u52a8\u6001 3D \u548c 4D \u4efb\u52a1\u7814\u7a76\u3002<\/li>\n<li>\u652f\u6301\u591a\u79cd\u6761\u4ef6\u8f93\u5165\uff08\u5982\u56fe\u50cf\u6216\u5c11\u91cf\u89c6\u56fe\uff09\uff0c\u7075\u6d3b\u8c03\u6574\u751f\u6210\u7ed3\u679c\u3002<\/li>\n<li>\u5c06 3D \u89c6\u56fe\u8f6c\u6362\u4e3a\u53ef\u7f16\u8f91\u7684\u6570\u5b57\u8d44\u4ea7\u3002<\/li>\n<li>\u96c6\u6210\u591a\u89c6\u89d2\u65f6\u95f4\u6a21\u5757\uff0c\u4f18\u5316 3D \u548c 4D \u6570\u636e\u878d\u5408\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<p>GenXD \u662f\u4e00\u4e2a\u7814\u7a76\u578b\u5f00\u6e90\u6846\u67b6\uff0c\u7528\u6237\u9700\u5728\u672c\u5730\u642d\u5efa\u73af\u5883\u624d\u80fd\u4f7f\u7528\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u7684\u5b89\u88c5\u548c\u64cd\u4f5c\u6307\u5357\uff0c\u5e2e\u52a9\u7528\u6237\u5feb\u901f\u4e0a\u624b\u3002<\/p>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<p>GenXD \u9700\u8981\u7f16\u7a0b\u73af\u5883\u652f\u6301\uff0c\u9002\u5408\u6709\u4e00\u5b9a\u6280\u672f\u57fa\u7840\u7684\u7528\u6237\u3002\u5b89\u88c5\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<ol>\n<li><strong>\u51c6\u5907\u57fa\u7840\u73af\u5883<\/strong>\n<ul>\n<li>\u786e\u4fdd\u7535\u8111\u5b89\u88c5 Python 3.10 \u6216\u66f4\u9ad8\u7248\u672c\u3002<\/li>\n<li>\u5b89\u88c5 Git\uff0c\u7528\u4e8e\u4e0b\u8f7d\u4ee3\u7801\u3002\u5728\u7ec8\u7aef\u8fd0\u884c\uff1a\n<pre><code>git clone https:\/\/github.com\/HeliosZhao\/GenXD.git\r\n<\/code><\/pre>\n<\/li>\n<li>\u8fdb\u5165\u9879\u76ee\u76ee\u5f55\uff1a\n<pre><code>cd GenXD\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u5b89\u88c5\u6838\u5fc3\u4f9d\u8d56<\/strong>\n<ul>\n<li>\u5b89\u88c5 PyTorch\uff08\u63a8\u8350\u7248\u672c 2.1.2\uff0c\u5e26 CUDA \u652f\u6301\uff09\u3002\u8fd0\u884c\uff1a\n<pre><code>pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https:\/\/download.pytorch.org\/whl\/cu118\r\n<\/code><\/pre>\n<\/li>\n<li>\u5b89\u88c5\u5176\u4ed6\u4f9d\u8d56\uff08\u5982 diffusers 0.30.3\uff09\u3002\u8fd0\u884c\uff1a\n<pre><code>pip install -r requirements.txt\r\n<\/code><\/pre>\n<\/li>\n<li>\u5982\u679c\u00a0<code>requirements.txt<\/code>\u00a0\u672a\u63d0\u4f9b\uff0c\u53ef\u53c2\u8003\u5b98\u65b9\u8bf4\u660e\u5b89\u88c5 NumPy\u3001OpenCV \u7b49\u5e93\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u4e0b\u8f7d\u9884\u8bad\u7ec3\u6a21\u578b<\/strong>\n<ul>\n<li>\u4ece Hugging Face \u4e0b\u8f7d\u6a21\u578b\uff1a\n<pre><code>pip install -U \"huggingface_hub[cli]\"\r\nhuggingface-cli download Yuyang-z\/genxd --local-dir .\/genxd-model\r\n<\/code><\/pre>\n<\/li>\n<li>\u5c06\u6a21\u578b\u6587\u4ef6\u653e\u5165\u9879\u76ee\u76ee\u5f55\u4e0b\u7684\u00a0<code>genxd-model<\/code>\u00a0\u6587\u4ef6\u5939\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u4e0b\u8f7d\u6570\u636e\u96c6<\/strong>\n<ul>\n<li>CamVid-30K \u6570\u636e\u96c6\u53ef\u5728 Hugging Face \u4e0b\u8f7d\uff1a\n<ul>\n<li>VIPSeg \u5b50\u96c6\u548c OpenVid \u5b50\u96c6\u89c1\u00a0https:\/\/huggingface.co\/datasets\/Yuyang-z\/CamVid-30K\u3002<\/li>\n<li>WebVid-10M \u5b50\u96c6\u56e0\u9650\u5236\u65e0\u6cd5\u63d0\u4f9b\uff0c\u9700\u81ea\u884c\u83b7\u53d6\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u4e0b\u8f7d\u540e\u89e3\u538b\u5230\u00a0<code>data\/camvid-30k<\/code>\u00a0\u6587\u4ef6\u5939\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u68c0\u67e5\u73af\u5883<\/strong>\n<ul>\n<li>\u786e\u4fdd\u6709 NVIDIA GPU\uff0c\u8fd0\u884c\uff1a\n<pre><code>python -c \"import torch; print(torch.cuda.is_available())\"\r\n<\/code><\/pre>\n<p>\u8f93\u51fa\u00a0<code>True<\/code>\u00a0\u8868\u793a\u73af\u5883\u6b63\u5e38\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h3>\u4f7f\u7528\u4e3b\u8981\u529f\u80fd<\/h3>\n<p>GenXD \u652f\u6301\u591a\u79cd\u751f\u6210\u4efb\u52a1\uff0c\u4ee5\u4e0b\u662f\u5177\u4f53\u64cd\u4f5c\u65b9\u6cd5\u3002<\/p>\n<h4>1. \u81ea\u5b9a\u4e49\u56fe\u50cf\u751f\u6210 3D \u573a\u666f<\/h4>\n<ul>\n<li><strong>\u51c6\u5907\u8f93\u5165<\/strong>\uff1a\u5c06\u56fe\u50cf\uff08PNG \u6216 JPG \u683c\u5f0f\uff09\u653e\u5165\u00a0<code>example-images<\/code>\u00a0\u6587\u4ef6\u5939\u3002<\/li>\n<li><strong>\u8bbe\u7f6e\u76f8\u673a\u6a21\u5f0f<\/strong>\uff1a\u652f\u6301\u00a0<code>forward<\/code>\uff08\u524d\u8fdb\uff09\u548c\u00a0<code>orbit<\/code>\uff08\u73af\u7ed5\uff09\u4e24\u79cd\u6a21\u5f0f\u3002<\/li>\n<li><strong>\u8fd0\u884c\u547d\u4ee4<\/strong>\uff1a<\/li>\n<\/ul>\n<pre><code>DATA_ROOT=\"example-images\"\r\nOUTPUT_DIR=\"outputs\/example-images\"\r\naccelerate launch --main_process_port 1223 inference.py \r\ndiffusion.pretrain_unet=\".\/genxd-model\" \r\ndiffusion.output_dir=\"$OUTPUT_DIR\" \r\n+evaluator.data_name=\"static_cam_single\" \r\n+evaluator.data_root=\"$DATA_ROOT\" \r\n+evaluator.camera_info.mode=\"forward\" \r\n+evaluator.camera_info.elevation=0. \r\n+evaluator.camera_info.azimuth_range=[-30,30] \r\n+evaluator.focal=1.0938 \r\n+evaluator.camera_info.radius=2.0\r\n<\/code><\/pre>\n<ul>\n<li><strong>\u7ed3\u679c\u67e5\u770b<\/strong>\uff1a\u751f\u6210\u7684\u591a\u89c6\u89d2 3D \u89c6\u56fe\u4fdd\u5b58\u5728\u00a0<code>outputs\/example-images<\/code>\uff0c\u53ef\u7528 Blender \u7b49\u5de5\u5177\u6253\u5f00\u3002<\/li>\n<\/ul>\n<h4>2. \u5c11\u6837\u672c 3D \u573a\u666f\u751f\u6210<\/h4>\n<ul>\n<li><strong>\u51c6\u5907\u6570\u636e<\/strong>\uff1a\u4e0b\u8f7d ReconFusion \u6570\u636e\u96c6\uff08https:\/\/huggingface.co\/datasets\/Yuyang-z\/reconfusion-torch\uff09\uff0c\u89e3\u538b\u5230\u00a0<code>data\/reconfusion-torch\/re10k<\/code>\u3002<\/li>\n<li><strong>\u7b2c\u4e00\u6b65\uff1a\u751f\u6210\u76f8\u673a\u8f68\u8ff9<\/strong>\uff1a<\/li>\n<\/ul>\n<pre><code>python tools\/pose_traj_generate.py -d data\/reconfusion-torch\/re10k -o outputs\/pose_dataset --save_data_pose -sx 0.2 0.4 -0.2 -0.4 -sz 0.2 0.4 -0.2 -0.4 -n 18\r\n<\/code><\/pre>\n<ul>\n<li><strong>\u7b2c\u4e8c\u6b65\uff1a\u751f\u6210\u89c6\u56fe<\/strong>\uff1a<\/li>\n<\/ul>\n<pre><code>accelerate launch --main_process_port 1224 inference.py \r\ndiffusion.pretrain_unet=\".\/genxd-model\" \r\ndiffusion.output_dir=\"outputs\/re10k-group\" \r\n+evaluator.data_name=\"reconfgroup\" \r\n+evaluator.data_root=\"data\/reconfusion-torch\/re10k\" \r\n+evaluator.pose_dir=\"outputs\/pose_dataset\/re10k\" \r\n+evaluator.num_context_views=3 \r\n+evaluator.n_views=3 \r\n+evaluator.save_target_only=True \r\n+evaluator.pad_to_square=True\r\n<\/code><\/pre>\n<ul>\n<li><strong>\u7ed3\u679c\u67e5\u770b<\/strong>\uff1a\u751f\u6210\u7684 3D \u89c6\u56fe\u5728\u00a0<code>outputs\/re10k-group<\/code>\u3002<\/li>\n<\/ul>\n<h4>3. \u751f\u6210 4D \u52a8\u6001\u573a\u666f<\/h4>\n<ul>\n<li><strong>\u51c6\u5907\u6570\u636e<\/strong>\uff1a\u4f7f\u7528 CamVid-30K \u6570\u636e\u96c6\u4e2d\u7684\u89c6\u9891\uff0c\u653e\u5165\u00a0<code>data\/camvid-30k<\/code>\u3002<\/li>\n<li><strong>\u8fd0\u884c\u547d\u4ee4<\/strong>\uff1a\u9700\u6839\u636e\u5177\u4f53\u4efb\u52a1\u8c03\u6574\u53c2\u6570\uff0c\u793a\u4f8b\u547d\u4ee4\u53c2\u8003 GitHub \u66f4\u65b0\u3002<\/li>\n<li><strong>\u7ed3\u679c\u67e5\u770b<\/strong>\uff1a\u751f\u6210\u89c6\u9891\u4fdd\u5b58\u5728\u6307\u5b9a\u8f93\u51fa\u76ee\u5f55\u3002<\/li>\n<\/ul>\n<h3>\u7279\u8272\u529f\u80fd\u64cd\u4f5c<\/h3>\n<h4>\u5206\u89e3\u76f8\u673a\u548c\u5bf9\u8c61\u8fd0\u52a8<\/h4>\n<ul>\n<li>GenXD \u4f7f\u7528\u591a\u89c6\u89d2\u65f6\u95f4\u6a21\u5757\u5206\u79bb\u76f8\u673a\u548c\u5bf9\u8c61\u8fd0\u52a8\u3002<\/li>\n<li><strong>\u8fd0\u884c\u793a\u4f8b<\/strong>\uff1a<\/li>\n<\/ul>\n<pre><code>python motion_decompose.py --input data\/camvid-30k\/sample_video --output outputs\/motion_data\r\n<\/code><\/pre>\n<ul>\n<li><strong>\u7528\u9014<\/strong>\uff1a\u751f\u6210\u7684\u8fd0\u52a8\u6570\u636e\u53ef\u7528\u4e8e\u8c03\u6574 4D \u573a\u666f\u3002<\/li>\n<\/ul>\n<h4>CamVid-30K \u6570\u636e\u96c6\u4f7f\u7528<\/h4>\n<ul>\n<li><strong>\u6570\u636e\u7ed3\u6784<\/strong>\uff1a\u89e3\u538b\u540e\u5305\u542b\u56fe\u50cf\u548c COLMAP \u6587\u4ef6\uff08\u5982\u00a0<code>cameras.bin<\/code>\uff09\u3002<\/li>\n<li><strong>\u52a0\u8f7d\u6570\u636e<\/strong>\uff1a\u653e\u5165\u00a0<code>data\/camvid-30k<\/code>\uff0c\u8fd0\u884c\u6d4b\u8bd5\u811a\u672c\uff1a<\/li>\n<\/ul>\n<pre><code>python test_dataset.py --dataset data\/camvid-30k\r\n<\/code><\/pre>\n<h3>\u6ce8\u610f\u4e8b\u9879<\/h3>\n<ul>\n<li>GPU \u5185\u5b58\u9700 16GB \u4ee5\u4e0a\uff0c\u751f\u6210 4D \u4efb\u52a1\u8017\u65f6\u8f83\u957f\u3002<\/li>\n<li>\u68c0\u67e5\u6700\u65b0\u4ee3\u7801\u66f4\u65b0\uff0c\u5b98\u65b9\u4e8e 2025 \u5e74 3 \u6708 26 \u65e5\u53d1\u5e03\u9884\u8bad\u7ec3\u6a21\u578b\u3002<\/li>\n<li>\u5982\u9047\u95ee\u9898\uff0c\u53ef\u8054\u7cfb &lt;yuyangzhao98@gmail.com&gt;\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u79d1\u7814\u5b9e\u9a8c<\/strong><\/li>\n<\/ol>\n<ul>\n<li>\u7814\u7a76\u8005\u7528 GenXD \u6d4b\u8bd5 3D \u548c 4D \u751f\u6210\u7b97\u6cd5\uff0c\u9a8c\u8bc1\u65b0\u6a21\u578b\u6548\u679c\u3002<\/li>\n<\/ul>\n<ol start=\"2\">\n<li><strong>\u865a\u62df\u5185\u5bb9\u521b\u4f5c<\/strong><\/li>\n<\/ol>\n<ul>\n<li>\u521b\u4f5c\u8005\u751f\u6210\u52a8\u6001\u573a\u666f\uff0c\u7528\u4e8e\u52a8\u753b\u6216\u865a\u62df\u73b0\u5b9e\u9879\u76ee\u3002<\/li>\n<\/ul>\n<ol start=\"3\">\n<li><strong>\u6559\u80b2\u57f9\u8bad<\/strong><\/li>\n<\/ol>\n<ul>\n<li>\u5b66\u751f\u7528 CamVid-30K \u6570\u636e\u96c6\u5b66\u4e60\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u751f\u6210\u6280\u672f\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>QA<\/h2>\n<ol>\n<li><strong>GenXD \u662f\u514d\u8d39\u7684\u5417\uff1f<\/strong><\/li>\n<\/ol>\n<ul>\n<li>\u662f\u7684\uff0c\u5b83\u662f Apache-2.0 \u8bb8\u53ef\u7684\u5f00\u6e90\u9879\u76ee\u3002<\/li>\n<\/ul>\n<ol start=\"2\">\n<li><strong>\u9700\u8981\u8054\u7f51\u4f7f\u7528\u5417\uff1f<\/strong><\/li>\n<\/ol>\n<ul>\n<li>\u4e0d\u9700\u8981\uff0c\u5b89\u88c5\u540e\u53ef\u5728\u672c\u5730\u8fd0\u884c\u3002<\/li>\n<\/ul>\n<ol start=\"3\">\n<li><strong>\u751f\u6210\u7ed3\u679c\u771f\u5b9e\u5417\uff1f<\/strong><\/li>\n<\/ol>\n<ul>\n<li>\u4e0d\u5b8c\u5168\u771f\u5b9e\uff0c\u6a21\u578b\u65e0\u6cd5\u8fbe\u5230\u5b8c\u7f8e\u771f\u5b9e\u611f\uff0c\u4ec5\u9650\u7814\u7a76\u4f7f\u7528\u3002<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>GenXD \u662f\u4e00\u4e2a\u5f00\u6e90\u9879\u76ee\uff0c\u7531\u65b0\u52a0\u5761\u56fd\u7acb\u5927\u5b66\uff08NUS\uff09\u548c\u5fae\u8f6f\u56e2\u961f\u5f00\u53d1\u3002\u5b83\u4e13\u6ce8\u4e8e\u751f\u6210\u4efb\u610f 3D \u548c 4D \u573a\u666f\uff0c\u89e3\u51b3\u771f\u5b9e\u4e16\u754c\u4e2d 3D \u548c 4D \u751f\u6210\u56e0\u6570\u636e\u4e0d\u8db3\u548c\u6a21\u578b\u8bbe\u8ba1\u590d\u6742\u5e26\u6765\u7684\u96be\u9898\u3002\u9879\u76ee\u901a\u8fc7\u5206\u6790\u76f8\u673a\u548c\u5bf9\u8c61\u8fd0\u52a8\uff0c\u7ed3\u5408\u5927\u89c4\u6a21\u771f\u5b9e\u6570\u636e\uff0c\u6784\u5efa\u4e86\u4e00\u4e2a&#8230;<\/p>\n","protected":false},"author":1,"featured_media":62184,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[230,239],"class_list":["post-29737","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","tag-aikaiyuanxiangmu","tag-aiwenbenyutupianzhuan"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts\/29737","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/comments?post=29737"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts\/29737\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/media\/62184"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/media?parent=29737"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/categories?post=29737"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/tags?post=29737"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}