{"id":44094,"date":"2023-01-19T05:54:19","date_gmt":"2023-01-19T09:54:19","guid":{"rendered":"https:\/\/coinscreed.com\/staging\/?p=44094"},"modified":"2023-01-19T05:54:23","modified_gmt":"2023-01-19T09:54:23","slug":"microsoft-develops-3d-avatar-diffusion-model-for-metaverse","status":"publish","type":"post","link":"https:\/\/coinscreed.com\/staging\/microsoft-develops-3d-avatar-diffusion-model-for-metaverse\/","title":{"rendered":"Microsoft develops 3D avatar diffusion Model For Metaverse"},"content":{"rendered":"\n
Microsoft has developed a diffusion model that can construct a three-dimensional (3D) avatar from a single, two-dimensional (2D) picture of a human face. The 3D Avatar may be used to provide VR or AR gaming experience<\/a>.<\/h5>\n\n\n\n
\"Microsoft
Microsoft develops 3D avatar diffusion Model For Metaverse<\/figcaption><\/figure>\n\n\n\n

The diffusion model was developed by a group of researchers at Microsoft Research\r\n \r\n \r\n \r\n <\/g>\r\n \r\n \r\n \r\n <\/clipPath>\r\n <\/defs><\/svg><\/span><\/a> and was presented in an article that appeared in the journal arXiv.<\/p>\n\n\n\n

The 3D avatar may then be used to provide a virtual reality (VR) or augmented reality (AR) experience or to just present a lifelike 3D representation of the person for gaming or other uses.<\/p>\n\n\n\n

3D Avatar Diffusion<\/h2>\n\n\n\n

The 3D Avatar Diffusion is based on the diffusion model, a machine-learning method<\/a>. Diffusion models are generative models, which means they may generate new data that is comparable to the training data.<\/p>\n\n\n\n

Although diffusion models have previously been used to produce 3D pictures from 2D photographs, the ADM is the first diffusion model to be capable of producing a realistic 3D avatar from a single 2D image.<\/p>\n\n\n\n

To train the algorithm, the researchers employed a dataset of more than 200,000 3D face models. There was a vast variety of skin tones, hairstyles, and facial features among the faces in the sample. Then, with only a single 2D picture, the ADM was able to construct a convincing metaverse. However, once you understand how the 2D picture and 3D face model are related.<\/p>\n\n\n\n

For the automated development of 3D digital avatars, this research recommends a 3D generative model. However, they are shown as diffusion models and neuronal radiance fields.<\/p>\n\n\n\n

The prohibitive memory and processing needs associated with 3D makes it challenging to generate the complex features required for high-quality avatars. Developers advise using the roll-out dispersion network (Rodin) to address this issue.<\/p>\n\n\n\n

Bill Gates previously said that his old business was creating Teams office software with 3D avatars and other capabilities that were compatible with the metaverse.<\/p>\n\n\n\n

Now that Microsoft is collaborating with Meta and Mark Zuckerberg<\/a>. To make Teams compatible with the latter's Workplace social network for enterprises. Teams could even have a direct entrance into the metaverse.<\/p>\n","protected":false},"excerpt":{"rendered":"

Microsoft has developed a diffusion model that can construct a three-dimensional (3D) avatar from a single, two-dimensional (2D) picture of a human face. The 3D Avatar may be used to provide VR or AR gaming experience. The diffusion model was developed by a group of researchers at Microsoft Research and was presented in an article […]<\/p>\n","protected":false},"author":12,"featured_media":44100,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[5794],"tags":[13106,11451,4617,2227],"class_list":["post-44094","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-metaverse-news","tag-3d-avatar-diffusion","tag-ar-vr","tag-metaverse","tag-microsoft"],"jetpack_featured_media_url":"https:\/\/coinscreed.com\/staging\/wp-content\/uploads\/2023\/01\/image-24.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/coinscreed.com\/staging\/wp-json\/wp\/v2\/posts\/44094","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/coinscreed.com\/staging\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/coinscreed.com\/staging\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/coinscreed.com\/staging\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/coinscreed.com\/staging\/wp-json\/wp\/v2\/comments?post=44094"}],"version-history":[{"count":0,"href":"https:\/\/coinscreed.com\/staging\/wp-json\/wp\/v2\/posts\/44094\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/coinscreed.com\/staging\/wp-json\/wp\/v2\/media\/44100"}],"wp:attachment":[{"href":"https:\/\/coinscreed.com\/staging\/wp-json\/wp\/v2\/media?parent=44094"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/coinscreed.com\/staging\/wp-json\/wp\/v2\/categories?post=44094"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/coinscreed.com\/staging\/wp-json\/wp\/v2\/tags?post=44094"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}