{"id":153457,"date":"2022-12-23T01:22:41","date_gmt":"2022-12-23T07:22:41","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2022\/12\/openai-releases-point-e-an-ai-that-generates-3d-models"},"modified":"2022-12-23T01:22:41","modified_gmt":"2022-12-23T07:22:41","slug":"openai-releases-point-e-an-ai-that-generates-3d-models","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2022\/12\/openai-releases-point-e-an-ai-that-generates-3d-models","title":{"rendered":"OpenAI releases Point-E, an AI that generates 3D models"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/openai-releases-point-e-an-ai-that-generates-3d-models3.jpg\"><\/a><\/p>\n<p>The next breakthrough to take the AI world by storm might be 3D model generators. This week, OpenAI open sourced Point-E, a machine learning system that creates a 3D object given a text prompt. According to a <a href=\"https:\/\/arxiv.org\/pdf\/2212.08751.pdf\" target=\"_blank\" rel=\"noopener\">paper<\/a> published alongside the <a href=\"https:\/\/github.com\/openai\/point-e\" target=\"_blank\" rel=\"noopener\">code base<\/a>, Point-E can produce 3D models in one to two minutes on a single Nvidia V100 GPU.<\/p>\n<p>Point-E doesn\u2019t create 3D objects in the traditional sense. Rather, it generates point clouds, or discrete sets of data points in space that represent a 3D shape \u2014 hence the cheeky abbreviation. (The \u201cE\u201d in Point-E is short for \u201cefficiency,\u201d because it\u2019s ostensibly faster than previous 3D object generation approaches.) Point clouds are easier to synthesize from a computational standpoint, but they don\u2019t capture an object\u2019s fine-grained shape or texture \u2014 a key limitation of Point-E currently.<\/p>\n<p>To get around this limitation, the Point-E team trained an additional AI system to convert Point-E\u2019s point clouds to meshes. (Meshes \u2014 the collections of vertices, edges and faces that define an object \u2014 are commonly used in 3D modeling and design.) But they note in the paper that the model can sometimes miss certain parts of objects, resulting in blocky or distorted shapes.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The next breakthrough to take the AI world by storm might be 3D model generators. This week, OpenAI open sourced Point-E, a machine learning system that creates a 3D object given a text prompt. According to a paper published alongside the code base, Point-E can produce 3D models in one to two minutes on a [\u2026]<\/p>\n","protected":false},"author":359,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,8],"tags":[],"class_list":["post-153457","post","type-post","status-publish","format-standard","hentry","category-robotics-ai","category-space"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/153457","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/359"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=153457"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/153457\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=153457"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=153457"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=153457"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}