{"id":17995,"date":"2025-01-10T21:36:15","date_gmt":"2025-01-10T13:36:15","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=17995"},"modified":"2025-01-10T21:36:15","modified_gmt":"2025-01-10T13:36:15","slug":"thin-plate-spline-motion-model","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/de\/thin-plate-spline-motion-model\/","title":{"rendered":"Thin-Plate-Spline-Motion-Model\uff1a\u9759\u6001\u4eba\u50cf\u56fe\u53c2\u8003\u89c6\u9891\u4eba\u50cf\u52a8\u4f5c\u751f\u6210\u89c6\u9891"},"content":{"rendered":"<p>Thin-Plate-Spline-Motion-Model\u662f\u4e00\u4e2a\u5728CVPR 2022\u4f1a\u8bae\u4e0a\u53d1\u8868\u7684\u5f00\u521b\u6027\u56fe\u50cf\u52a8\u753b\u751f\u6210\u9879\u76ee\u3002\u8be5\u9879\u76ee\u57fa\u4e8e\u8584\u677f\u6837\u6761\u53d8\u6362\u7406\u8bba\uff0c\u80fd\u591f\u5c06\u9759\u6001\u56fe\u50cf\u6839\u636e\u9a71\u52a8\u89c6\u9891\u5b9e\u73b0\u9ad8\u8d28\u91cf\u7684\u52a8\u753b\u6548\u679c\u3002\u9879\u76ee\u91c7\u7528\u7aef\u5230\u7aef\u7684\u65e0\u76d1\u7763\u5b66\u4e60\u6846\u67b6\uff0c\u7279\u522b\u64c5\u957f\u5904\u7406\u6e90\u56fe\u50cf\u4e0e\u9a71\u52a8\u89c6\u9891\u4e4b\u95f4\u5b58\u5728\u8f83\u5927\u59ff\u6001\u5dee\u5f02\u7684\u60c5\u51b5\u3002\u901a\u8fc7\u521b\u65b0\u6027\u5730\u5f15\u5165\u8584\u677f\u6837\u6761\u8fd0\u52a8\u4f30\u8ba1\u6280\u672f\u548c\u591a\u5206\u8fa8\u7387\u906e\u6321\u8499\u7248\uff0c\u8be5\u6a21\u578b\u80fd\u591f\u751f\u6210\u66f4\u52a0\u81ea\u7136\u6d41\u7545\u7684\u52a8\u753b\u6548\u679c\u3002\u9879\u76ee\u4e0d\u4ec5\u5f00\u6e90\u4e86\u5b8c\u6574\u7684\u4ee3\u7801\u5b9e\u73b0\uff0c\u8fd8\u63d0\u4f9b\u4e86\u9884\u8bad\u7ec3\u6a21\u578b\u548c\u5728\u7ebf\u6f14\u793a\uff0c\u4f7f\u5f97\u7814\u7a76\u4eba\u5458\u548c\u5f00\u53d1\u8005\u80fd\u591f\u65b9\u4fbf\u5730\u590d\u73b0\u548c\u5e94\u7528\u8fd9\u9879\u6280\u672f\u3002<\/p>\n<blockquote><p>\u5982\u679c\u516c\u5171\u5f62\u8c61\u53d1\u8a00\u4eba\u79bb\u804c\u600e\u4e48\u529e\uff1f\u4f60\u53ef\u4ee5\u4fdd\u7559\u53d1\u8a00\u4eba\u5f62\u8c61\u56fe\u7247\uff0c\u7136\u540e\u8ba9\u5176\u4ed6\u4eba\u5f55\u5236\u89c6\u9891\uff0c\u8ba9\u53d1\u8a00\u4eba\u56fe\u7247\u6a21\u4eff\u5f55\u5236\u89c6\u9891\u7684\u52a8\u4f5c\u751f\u6210\u89c6\u9891\uff0c\u7c7b\u4f3c\u6362\u8138\u6280\u672f\u3002<\/p><\/blockquote>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-17996\" title=\"Thin-Plate-Spline-Motion-Model\uff1a\u9759\u6001\u4eba\u50cf\u56fe\u53c2\u8003\u89c6\u9891\u4eba\u50cf\u52a8\u4f5c\u751f\u6210\u89c6\u9891-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/01\/b3eb7faef3e73e4.png\" alt=\"Thin-Plate-Spline-Motion-Model\uff1a\u9759\u6001\u4eba\u50cf\u56fe\u53c2\u8003\u89c6\u9891\u4eba\u50cf\u52a8\u4f5c\u751f\u6210\u89c6\u9891-1\" width=\"843\" height=\"529\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/01\/b3eb7faef3e73e4.png 843w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/01\/b3eb7faef3e73e4-300x188.png 300w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/01\/b3eb7faef3e73e4-768x482.png 768w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/01\/b3eb7faef3e73e4-18x12.png 18w\" sizes=\"auto, (max-width: 843px) 100vw, 843px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u9759\u6001\u56fe\u50cf\u52a8\u753b\u5316\u751f\u6210<\/li>\n<li>\u652f\u6301\u591a\u79cd\u6570\u636e\u96c6\u8bad\u7ec3\uff08VoxCeleb\u3001TaiChi-HD\u3001TED-talks\u7b49\uff09<\/li>\n<li>\u63d0\u4f9b\u9884\u8bad\u7ec3\u6a21\u578b\u4e0b\u8f7d<\/li>\n<li>\u652f\u6301Web\u5728\u7ebf\u6f14\u793a\uff08Hugging Face Spaces\u96c6\u6210\uff09<\/li>\n<li>\u652f\u6301Google Colab\u5728\u7ebf\u8fd0\u884c<\/li>\n<li>\u652f\u6301\u591aGPU\u8bad\u7ec3<\/li>\n<li>\u63d0\u4f9bAVD\uff08Advanced Video Decoder\uff09\u7f51\u7edc\u8bad\u7ec3\u529f\u80fd<\/li>\n<li>\u89c6\u9891\u91cd\u5efa\u8bc4\u4f30\u529f\u80fd<\/li>\n<li>\u652f\u6301Python API\u8c03\u7528<\/li>\n<li>Docker\u73af\u5883\u652f\u6301<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>1. \u73af\u5883\u914d\u7f6e<\/h3>\n<p>\u9879\u76ee\u8981\u6c42Python 3.x\u73af\u5883\uff08\u63a8\u8350Python 3.9\uff09\uff0c\u5b89\u88c5\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<ol>\n<li>\u514b\u9686\u9879\u76ee\u4ed3\u5e93\uff1a<\/li>\n<\/ol>\n<pre><code>git clone https:\/\/github.com\/yoyo-nb\/Thin-Plate-Spline-Motion-Model.git\r\ncd Thin-Plate-Spline-Motion-Model\r\n<\/code><\/pre>\n<ol start=\"2\">\n<li>\u5b89\u88c5\u4f9d\u8d56\uff1a<\/li>\n<\/ol>\n<pre><code>pip install -r requirements.txt\r\n<\/code><\/pre>\n<h3>2. \u6570\u636e\u51c6\u5907<\/h3>\n<p>\u9879\u76ee\u652f\u6301\u591a\u4e2a\u6570\u636e\u96c6\uff1a<\/p>\n<ul>\n<li>MGif\u6570\u636e\u96c6\uff1a\u53c2\u8003Monkey-Net\u9879\u76ee\u83b7\u53d6<\/li>\n<li>TaiChiHD\u548cVoxCeleb\u6570\u636e\u96c6\uff1a\u6309video-preprocessing\u6307\u5357\u5904\u7406<\/li>\n<li>TED-talks\u6570\u636e\u96c6\uff1a\u9075\u5faaMRAA\u9879\u76ee\u6307\u5357<\/li>\n<\/ul>\n<p>\u9884\u5904\u7406\u6570\u636e\u96c6\u4e0b\u8f7d\uff08\u4ee5VoxCeleb\u4e3a\u4f8b\uff09\uff1a<\/p>\n<pre><code># \u4e0b\u8f7d\u540e\u5408\u5e76\u89e3\u538b\r\ncat vox.tar.* &gt; vox.tar\r\ntar xvf vox.tar\r\n<\/code><\/pre>\n<h3>3. \u6a21\u578b\u8bad\u7ec3<\/h3>\n<p>\u57fa\u7840\u8bad\u7ec3\u547d\u4ee4\uff1a<\/p>\n<pre><code>CUDA_VISIBLE_DEVICES=0,1 python run.py --config config\/dataset_name.yaml --device_ids 0,1\r\n<\/code><\/pre>\n<p>AVD\u7f51\u7edc\u8bad\u7ec3\uff1a<\/p>\n<pre><code>CUDA_VISIBLE_DEVICES=0 python run.py --mode train_avd --checkpoint '{checkpoint_folder}\/checkpoint.pth.tar' --config config\/dataset_name.yaml\r\n<\/code><\/pre>\n<h3>4. \u89c6\u9891\u91cd\u5efa\u8bc4\u4f30<\/h3>\n<pre><code>CUDA_VISIBLE_DEVICES=0 python run.py --mode reconstruction --config config\/dataset_name.yaml --checkpoint '{checkpoint_folder}\/checkpoint.pth.tar'\r\n<\/code><\/pre>\n<h3>5. \u56fe\u50cf\u52a8\u753b\u6f14\u793a<\/h3>\n<p>\u63d0\u4f9b\u591a\u79cd\u4f7f\u7528\u65b9\u5f0f\uff1a<\/p>\n<ol>\n<li>Jupyter Notebook\uff1a\u4f7f\u7528demo.ipynb<\/li>\n<li>Python\u547d\u4ee4\u884c\uff1a<\/li>\n<\/ol>\n<pre><code>CUDA_VISIBLE_DEVICES=0 python demo.py --config config\/vox-256.yaml --checkpoint checkpoints\/vox.pth.tar --source_image .\/source.jpg --driving_video .\/driving.mp4\r\n<\/code><\/pre>\n<ol start=\"3\">\n<li>Web\u6f14\u793a\uff1a\n<ul>\n<li>\u8bbf\u95ee<a href=\"https:\/\/huggingface.co\/spaces\/CVPR\/Image-Animation-using-Thin-Plate-Spline-Motion-Model\">Hugging Face Spaces<\/a>\u5728\u7ebf\u6f14\u793a<\/li>\n<li>\u4f7f\u7528<a href=\"https:\/\/replicate.com\/yoyo-nb\/thin-plate-spline-motion-model\">Replicate<\/a>\u5e73\u53f0\u7684Web\u6f14\u793a<\/li>\n<li>\u901a\u8fc7<a href=\"https:\/\/colab.research.google.com\/drive\/1DREfdpnaBhqISg0fuQlAAIwyGVn1loH_?usp=sharing\">Google Colab<\/a>\u8fd0\u884c<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h3>6. \u9884\u8bad\u7ec3\u6a21\u578b\u83b7\u53d6<\/h3>\n<p>\u63d0\u4f9b\u591a\u4e2a\u4e0b\u8f7d\u6e90\uff1a<\/p>\n<ul>\n<li>Google Drive<\/li>\n<li>Yandex Disk<\/li>\n<li>\u767e\u5ea6\u7f51\u76d8\uff08\u63d0\u53d6\u7801\uff1a1234\uff09<\/li>\n<\/ul>\n<h3>7. \u6ce8\u610f\u4e8b\u9879<\/h3>\n<ul>\n<li>\u5efa\u8bae\u8bad\u7ec3\u65f6\u4f7f\u7528\u66f4\u591a\u6570\u636e\u548c\u66f4\u957f\u7684\u8bad\u7ec3\u5468\u671f\u4ee5\u83b7\u5f97\u66f4\u597d\u6548\u679c<\/li>\n<li>\u786e\u4fddGPU\u663e\u5b58\u5145\u8db3<\/li>\n<li>\u5efa\u8bae\u4f7f\u7528\u9884\u5904\u7406\u540e\u7684\u6570\u636e\u96c6\u8fdb\u884c\u8bad\u7ec3<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Thin-Plate-Spline-Motion-Model\u662f\u4e00\u4e2a\u5728CVPR 2022\u4f1a\u8bae\u4e0a\u53d1\u8868\u7684\u5f00\u521b\u6027\u56fe\u50cf\u52a8\u753b\u751f\u6210\u9879\u76ee\u3002\u8be5\u9879\u76ee\u57fa\u4e8e\u8584\u677f\u6837\u6761\u53d8\u6362\u7406\u8bba\uff0c\u80fd\u591f\u5c06\u9759\u6001\u56fe\u50cf\u6839\u636e\u9a71\u52a8\u89c6\u9891\u5b9e\u73b0\u9ad8\u8d28\u91cf\u7684\u52a8\u753b\u6548\u679c\u3002\u9879\u76ee\u91c7\u7528\u7aef\u5230\u7aef\u7684\u65e0\u76d1\u7763\u5b66\u4e60\u6846\u67b6\uff0c\u7279\u522b\u64c5\u957f\u5904&#8230;<\/p>\n","protected":false},"author":1,"featured_media":61604,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[230,246],"class_list":["post-17995","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","tag-aikaiyuanxiangmu","tag-aishipinhuanlian"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/posts\/17995","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/comments?post=17995"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/posts\/17995\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/media\/61604"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/media?parent=17995"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/categories?post=17995"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/tags?post=17995"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}