{"id":30159,"date":"2025-04-08T14:44:32","date_gmt":"2025-04-08T06:44:32","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=30159"},"modified":"2025-06-29T00:09:57","modified_gmt":"2025-06-28T16:09:57","slug":"diffportrait360","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/en\/diffportrait360\/","title":{"rendered":"DiffPortrait360\uff1a\u4ece\u5355\u5f20\u4eba\u50cf\u751f\u6210360\u5ea6\u5934\u90e8\u89c6\u56fe"},"content":{"rendered":"<p>DiffPortrait360 \u662f\u4e00\u4e2a\u5f00\u6e90\u9879\u76ee\uff0c\u96b6\u5c5e\u4e8e CVPR 2025 \u8bba\u6587\u300aDiffPortrait360: Consistent Portrait Diffusion for 360 View Synthesis\u300b\u3002\u5b83\u80fd\u4ece\u5355\u5f20\u4eba\u50cf\u7167\u7247\u751f\u6210\u524d\u540e\u4e00\u81f4\u7684 360 \u5ea6\u5934\u90e8\u89c6\u56fe\uff0c\u652f\u6301\u771f\u5b9e\u4eba\u7c7b\u3001\u98ce\u683c\u5316\u56fe\u50cf\u548c\u62df\u4eba\u5316\u89d2\u8272\uff0c\u751a\u81f3\u5305\u62ec\u773c\u955c\u3001\u5e3d\u5b50\u7b49\u7ec6\u8282\u3002\u9879\u76ee\u57fa\u4e8e\u6269\u6563\u6a21\u578b\uff08LDM\uff09\uff0c\u7ed3\u5408 ControlNet \u548c\u53cc\u91cd\u5916\u89c2\u6a21\u5757\uff0c\u751f\u6210\u9ad8\u8d28\u91cf\u795e\u7ecf\u8f90\u5c04\u573a\uff08NeRF\uff09\uff0c\u53ef\u7528\u4e8e\u5b9e\u65f6\u81ea\u7531\u89c6\u89d2\u6e32\u67d3\u3002\u5b83\u9002\u7528\u4e8e\u6c89\u6d78\u5f0f\u8fdc\u7a0b\u5448\u73b0\u548c\u4e2a\u6027\u5316\u5185\u5bb9\u521b\u4f5c\uff0c\u5df2\u5728\u5b66\u672f\u754c\u548c\u5f00\u53d1\u8005\u793e\u533a\u4e2d\u53d7\u5230\u5173\u6ce8\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-30160\" title=\"DiffPortrait360\uff1a\u4ece\u5355\u5f20\u4eba\u50cf\u751f\u6210360\u5ea6\u5934\u90e8\u89c6\u56fe-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/93fafaa47a6aa8e.png\" alt=\"DiffPortrait360\uff1a\u4ece\u5355\u5f20\u4eba\u50cf\u751f\u6210360\u5ea6\u5934\u90e8\u89c6\u56fe-1\" width=\"670\" height=\"392\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/93fafaa47a6aa8e.png 1335w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/93fafaa47a6aa8e-768x449.png 768w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/93fafaa47a6aa8e-18x12.png 18w\" sizes=\"auto, (max-width: 670px) 100vw, 670px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u4ece\u5355\u5f20\u4eba\u50cf\u7167\u7247\u751f\u6210 360 \u5ea6\u5934\u90e8\u89c6\u56fe\u3002<\/li>\n<li>\u652f\u6301\u771f\u5b9e\u4eba\u7c7b\u3001\u98ce\u683c\u5316\u56fe\u50cf\u548c\u62df\u4eba\u5316\u89d2\u8272\u7684\u751f\u6210\u3002<\/li>\n<li>\u4f7f\u7528 ControlNet \u751f\u6210\u80cc\u9762\u7ec6\u8282\uff0c\u786e\u4fdd\u89c6\u56fe\u771f\u5b9e\u3002<\/li>\n<li>\u8f93\u51fa\u9ad8\u8d28\u91cf NeRF \u6a21\u578b\uff0c\u652f\u6301\u81ea\u7531\u89c6\u89d2\u6e32\u67d3\u3002<\/li>\n<li>\u901a\u8fc7\u53cc\u91cd\u5916\u89c2\u6a21\u5757\u4fdd\u6301\u524d\u540e\u89c6\u56fe\u4e00\u81f4\u6027\u3002<\/li>\n<li>\u5f00\u6e90\u63a8\u7406\u4ee3\u7801\u548c\u9884\u8bad\u7ec3\u6a21\u578b\uff0c\u65b9\u4fbf\u5f00\u53d1\u8005\u4f7f\u7528\u548c\u4fee\u6539\u3002<\/li>\n<li>\u63d0\u4f9b\u4e92\u8054\u7f51\u91c7\u96c6\u7684\u6d4b\u8bd5\u6570\u636e\uff0c\u5305\u542b Pexels \u548c 1000 \u5f20\u771f\u5b9e\u4eba\u50cf\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<p>DiffPortrait360 \u662f\u4e00\u4e2a\u9762\u5411\u5f00\u53d1\u8005\u548c\u7814\u7a76\u8005\u7684\u5de5\u5177\uff0c\u9700\u8981\u4e00\u5b9a\u7684\u6280\u672f\u57fa\u7840\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u7684\u5b89\u88c5\u548c\u4f7f\u7528\u6307\u5357\u3002<\/p>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<ol>\n<li><strong>\u51c6\u5907\u786c\u4ef6\u548c\u7cfb\u7edf<\/strong><br \/>\n\u4f60\u9700\u8981\u4e00\u53f0\u652f\u6301 CUDA \u7684 NVIDIA GPU\uff0c\u6700\u4f4e\u5185\u5b58 30GB\uff08\u751f\u6210 32 \u5e27\u89c6\u9891\uff09\uff0c\u63a8\u8350 80GB\uff08\u5982 A6000\uff09\u3002\u64cd\u4f5c\u7cfb\u7edf\u9700\u4e3a Linux\u3002<\/p>\n<ul>\n<li>\u68c0\u67e5 CUDA \u7248\u672c\uff0c\u63a8\u8350 12.2\u3002\u8fd0\u884c\uff1a\n<pre><code>nvcc --version\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u521b\u5efa\u73af\u5883<\/strong><br \/>\n\u4f7f\u7528 Conda \u521b\u5efa Python 3.9 \u73af\u5883\uff1a<\/li>\n<\/ol>\n<pre><code>conda env create -n diffportrait360 python=3.9\r\nconda activate diffportrait360\r\n<\/code><\/pre>\n<ol start=\"3\">\n<li><strong>\u514b\u9686\u4ee3\u7801<\/strong><br \/>\n\u4e0b\u8f7d\u9879\u76ee\u4ee3\u7801\u5230\u672c\u5730\uff1a<\/li>\n<\/ol>\n<pre><code>git clone https:\/\/github.com\/FreedomGu\/DiffPortrait360.git\r\ncd DiffPortrait360\/diffportrait360_release\r\n<\/code><\/pre>\n<ol start=\"4\">\n<li><strong>\u5b89\u88c5\u4f9d\u8d56<\/strong><br \/>\n\u9879\u76ee\u63d0\u4f9b\u00a0<code>requirements.txt<\/code>\uff0c\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\uff1a<\/li>\n<\/ol>\n<pre><code>pip install -r requirements.txt\r\n<\/code><\/pre>\n<ul>\n<li>\u5982\u679c\u9047\u5230\u4f9d\u8d56\u51b2\u7a81\uff0c\u66f4\u65b0 pip\uff1a\n<pre><code>pip install --upgrade pip\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<ol start=\"5\">\n<li><strong>\u4e0b\u8f7d\u9884\u8bad\u7ec3\u6a21\u578b<\/strong><br \/>\n\u4ece Hugging Face \u4e0b\u8f7d\u6a21\u578b\uff1a<\/li>\n<\/ol>\n<ul>\n<li>\u8bbf\u95ee\u00a0<a href=\"https:\/\/huggingface.co\/gym890\/diffportrait360\/tree\/main\">HF \u94fe\u63a5<\/a>\u3002<\/li>\n<li>\u4e0b\u8f7d\u00a0<code>PANO_HEAD_MODEL<\/code>\u3001<code>Head_Back_MODEL<\/code>\u00a0\u548c\u00a0<code>Diff360_MODEL<\/code>\u3002<\/li>\n<li>\u5c06\u6a21\u578b\u653e\u5165\u672c\u5730\u8def\u5f84\uff0c\u5e76\u5728\u00a0<code>inference.sh<\/code>\u00a0\u4e2d\u4fee\u6539\u5bf9\u5e94\u8def\u5f84\uff0c\u4f8b\u5982\uff1a\n<pre><code>PANO_HEAD_MODEL=\/path\/to\/pano_head_model\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<ol start=\"6\">\n<li><strong>\u9a8c\u8bc1\u73af\u5883<\/strong><br \/>\n\u68c0\u67e5 GPU \u662f\u5426\u53ef\u7528\uff1a<\/li>\n<\/ol>\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<\/p>\n<h3>\u64cd\u4f5c\u4e3b\u8981\u529f\u80fd<\/h3>\n<h4>\u751f\u6210 360 \u5ea6\u5934\u90e8\u89c6\u56fe<\/h4>\n<ol>\n<li><strong>\u51c6\u5907\u8f93\u5165\u6570\u636e<\/strong><\/li>\n<\/ol>\n<ul>\n<li>\u51c6\u5907\u4e00\u5f20\u6b63\u9762\u4eba\u50cf\u7167\u7247\uff08JPEG \u6216 PNG\uff09\uff0c\u5efa\u8bae\u5206\u8fa8\u7387 512&#215;512 \u6216\u66f4\u9ad8\u3002<\/li>\n<li>\u5c06\u7167\u7247\u653e\u5165\u00a0<code>input_image\/<\/code>\u00a0\u6587\u4ef6\u5939\uff08\u82e5\u65e0\u6b64\u6587\u4ef6\u5939\uff0c\u624b\u52a8\u521b\u5efa\uff09\u3002<\/li>\n<li>\u83b7\u53d6\u00a0<code>dataset.json<\/code>\uff08\u76f8\u673a\u4fe1\u606f\uff09\uff0c\u53ef\u53c2\u8003\u00a0<a href=\"https:\/\/github.com\/SizheAn\/PanoHead\/blob\/main\/3DDFA_V2_cropping\/cropping_guide.md\">PanoHead \u88c1\u526a\u6307\u5357<\/a>\u00a0\u5904\u7406\u81ea\u5df1\u7684\u7167\u7247\u3002<\/li>\n<\/ul>\n<ol start=\"2\">\n<li><strong>\u8fd0\u884c\u63a8\u7406\u811a\u672c<\/strong><\/li>\n<\/ol>\n<ul>\n<li>\u8fdb\u5165\u4ee3\u7801\u76ee\u5f55\uff1a\n<pre><code>cd diffportrait360_release\/code\r\n<\/code><\/pre>\n<\/li>\n<li>\u6267\u884c\u63a8\u7406\uff1a\n<pre><code>bash inference.sh\r\n<\/code><\/pre>\n<\/li>\n<li>\u8f93\u51fa\u7ed3\u679c\u5c06\u4fdd\u5b58\u5728\u6307\u5b9a\u6587\u4ef6\u5939\uff08\u9ed8\u8ba4\u00a0<code>output\/<\/code>\uff09\u3002<\/li>\n<\/ul>\n<ol start=\"3\">\n<li><strong>\u67e5\u770b\u7ed3\u679c<\/strong><\/li>\n<\/ol>\n<ul>\n<li>\u8f93\u51fa\u5305\u62ec\u591a\u89d2\u5ea6\u89c6\u56fe\u56fe\u7247\u548c NeRF \u6a21\u578b\u6587\u4ef6\uff08<code>.nerf<\/code>\u00a0\u683c\u5f0f\uff09\u3002<\/li>\n<li>\u4f7f\u7528 NeRF \u6e32\u67d3\u5de5\u5177\uff08\u5982 NeRFStudio\uff09\u52a0\u8f7d\u00a0<code>.nerf<\/code>\u00a0\u6587\u4ef6\uff0c\u8c03\u6574\u89c6\u89d2\u67e5\u770b 360 \u5ea6\u6548\u679c\u3002<\/li>\n<\/ul>\n<h4>\u4f7f\u7528 ControlNet \u4f18\u5316\u80cc\u9762<\/h4>\n<ul>\n<li>\u5728\u00a0<code>inference.sh<\/code>\u00a0\u4e2d\u542f\u7528\u80cc\u9762\u751f\u6210\u6a21\u5757\uff0c\u4fee\u6539\u53c2\u6570\uff1a<\/li>\n<\/ul>\n<pre><code>--use_controlnet\r\n<\/code><\/pre>\n<ul>\n<li>\u8fd0\u884c\u540e\uff0c\u80cc\u9762\u7ec6\u8282\u4f1a\u66f4\u771f\u5b9e\uff0c\u9002\u5408\u590d\u6742\u573a\u666f\u3002<\/li>\n<\/ul>\n<h4>\u81ea\u5b9a\u4e49\u6570\u636e\u63a8\u7406<\/h4>\n<ol>\n<li>\u5c06\u81ea\u5b9a\u4e49\u7167\u7247\u653e\u5165\u00a0<code>input_image\/<\/code>\u3002<\/li>\n<li>\u751f\u6210\u00a0<code>dataset.json<\/code>\uff0c\u786e\u4fdd\u76f8\u673a\u4fe1\u606f\u6b63\u786e\u3002<\/li>\n<li>\u8fd0\u884c\uff1a<\/li>\n<\/ol>\n<pre><code>bash inference.sh\r\n<\/code><\/pre>\n<h3>\u6ce8\u610f\u4e8b\u9879<\/h3>\n<ul>\n<li>GPU \u5185\u5b58\u4e0d\u8db3\u53ef\u80fd\u5bfc\u81f4\u5931\u8d25\uff0c\u5efa\u8bae\u4f7f\u7528\u9ad8\u5185\u5b58\u663e\u5361\u3002<\/li>\n<li>\u9879\u76ee\u672a\u63d0\u4f9b\u8bad\u7ec3\u4ee3\u7801\uff0c\u4ec5\u652f\u6301\u63a8\u7406\u3002\u5173\u6ce8 GitHub \u66f4\u65b0\u4ee5\u83b7\u53d6\u6700\u65b0\u8fdb\u5c55\u3002<\/li>\n<li>\u6d4b\u8bd5\u6570\u636e\u53ef\u4ece\u00a0<a href=\"https:\/\/huggingface.co\/gym890\/diffportrait360\/blob\/main\/inference_data.zip\">Hugging Face<\/a>\u00a0\u4e0b\u8f7d\uff0c\u5305\u542b Pexels \u548c 1000 \u5f20\u771f\u5b9e\u4eba\u50cf\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u6c89\u6d78\u5f0f\u8fdc\u7a0b\u4f1a\u8bae<\/strong><br \/>\n\u7528\u6237\u53ef\u4ee5\u7528\u5355\u5f20\u7167\u7247\u751f\u6210 360 \u5ea6\u5934\u90e8\u89c6\u56fe\uff0c\u63d0\u5347\u865a\u62df\u4f1a\u8bae\u7684\u771f\u5b9e\u611f\u3002<\/li>\n<li><strong>\u6e38\u620f\u89d2\u8272\u8bbe\u8ba1<\/strong><br \/>\n\u5f00\u53d1\u8005\u4ece\u6982\u5ff5\u56fe\u751f\u6210 3D \u5934\u90e8\u6a21\u578b\uff0c\u52a0\u901f\u6e38\u620f\u5f00\u53d1\u6d41\u7a0b\u3002<\/li>\n<li><strong>\u6570\u5b57\u827a\u672f\u521b\u4f5c<\/strong><br \/>\n\u827a\u672f\u5bb6\u7528\u5b83\u751f\u6210\u98ce\u683c\u5316\u5934\u50cf\uff0c\u5e94\u7528\u4e8e NFT \u6216\u793e\u4ea4\u5a92\u4f53\u5c55\u793a\u3002<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<h2>QA<\/h2>\n<ol>\n<li><strong>\u6700\u4f4e\u786c\u4ef6\u8981\u6c42\u662f\u4ec0\u4e48\uff1f<\/strong><br \/>\n\u9700\u8981 NVIDIA GPU\uff0c\u652f\u6301 CUDA\uff0c\u6700\u4f4e 30GB \u5185\u5b58\uff0c\u63a8\u8350 80GB\u3002<\/li>\n<li><strong>\u652f\u6301\u4f4e\u5206\u8fa8\u7387\u7167\u7247\u5417\uff1f<\/strong><br \/>\n\u4e0d\u63a8\u8350\u3002\u8f93\u5165\u5206\u8fa8\u7387\u4f4e\u4e8e 512&#215;512 \u65f6\uff0c\u7ec6\u8282\u53ef\u80fd\u4e22\u5931\uff0c\u6548\u679c\u53d8\u5dee\u3002<\/li>\n<li><strong>\u53ef\u4ee5\u751f\u6210\u89c6\u9891\u5417\uff1f<\/strong><br \/>\n\u5f53\u524d\u7248\u672c\u751f\u6210\u9759\u6001\u89c6\u56fe\u5e8f\u5217\uff0c\u53ef\u901a\u8fc7\u5de5\u5177\u8f6c\u4e3a\u89c6\u9891\uff0c\u4f46\u4e0d\u652f\u6301\u76f4\u63a5\u8f93\u51fa\u52a8\u6001\u89c6\u9891\u3002<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>DiffPortrait360 \u662f\u4e00\u4e2a\u5f00\u6e90\u9879\u76ee\uff0c\u96b6\u5c5e\u4e8e CVPR 2025 \u8bba\u6587\u300aDiffPortrait360: Consistent Portrait Diffusion for 360 View Synthesis\u300b\u3002\u5b83\u80fd\u4ece\u5355\u5f20\u4eba\u50cf\u7167&#8230;<\/p>\n","protected":false},"author":1,"featured_media":62210,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20,410,443],"tags":[229,230],"class_list":["post-30159","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","category-ai-art","category-identity-images","tag-aituxiangfenggekongzhi","tag-aikaiyuanxiangmu"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/30159","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/comments?post=30159"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/30159\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media\/62210"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media?parent=30159"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/categories?post=30159"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/tags?post=30159"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}