{"id":218720,"date":"2025-07-25T12:04:11","date_gmt":"2025-07-25T17:04:11","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2025\/07\/nvidias-new-ai-tool-enables-precise-editing-of-3d-scenes-and-photorealistic-images"},"modified":"2025-07-25T12:04:11","modified_gmt":"2025-07-25T17:04:11","slug":"nvidias-new-ai-tool-enables-precise-editing-of-3d-scenes-and-photorealistic-images","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2025\/07\/nvidias-new-ai-tool-enables-precise-editing-of-3d-scenes-and-photorealistic-images","title":{"rendered":"NVIDIA\u2019s new AI tool enables precise editing of 3D scenes and photorealistic images"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/nvidias-new-ai-tool-enables-precise-editing-of-3d-scenes-and-photorealistic-images2.jpg\"><\/a><\/p>\n<p>Over the past years, computer scientists have introduced increasingly sophisticated generative AI models that can produce personalized content following specific inputs or instructions. While image generation models are now widely used, many of them are unpredictable and precisely controlling the images they create remains a challenge.<\/p>\n<p>In a recent paper presented at this year\u2019s Conference on Computer Vision and Pattern Recognition (CVPR 2025), held in Nashville, June 11\u201315, researchers at NVIDIA introduced DiffusionRenderer, a new machine learning approach that could advance the generation and editing of images, allowing users to precisely adjust specific image attributes.<\/p>\n<p>\u201cGenerative AI has made huge strides in visual creation, but it introduces an entirely new creative workflow that differs from classic graphics and still struggles with controllability,\u201d Sanja Fidler, VP of AI Research at NVIDIA and head of the Spatial Intelligence lab, told Tech Xplore.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Over the past years, computer scientists have introduced increasingly sophisticated generative AI models that can produce personalized content following specific inputs or instructions. While image generation models are now widely used, many of them are unpredictable and precisely controlling the images they create remains a challenge. In a recent paper presented at this year\u2019s Conference [\u2026]<\/p>\n","protected":false},"author":707,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-218720","post","type-post","status-publish","format-standard","hentry","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/218720","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\/707"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=218720"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/218720\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=218720"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=218720"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=218720"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}