{"id":2292,"date":"2023-09-05T13:22:00","date_gmt":"2023-09-05T13:22:00","guid":{"rendered":"https:\/\/open.ieec.uned.es\/iot\/?p=2292"},"modified":"2023-11-20T13:25:48","modified_gmt":"2023-11-20T13:25:48","slug":"rgb-d-fusion-image-conditioned-depth-diffusion-of-humanoid-subjects","status":"publish","type":"post","link":"https:\/\/open.ieec.uned.es\/iot\/rgb-d-fusion-image-conditioned-depth-diffusion-of-humanoid-subjects\/","title":{"rendered":"RGB-D-Fusion: Image Conditioned Depth Diffusion of Humanoid Subjects"},"content":{"rendered":"\n

Recientemente, los co-ips del grupo de investigaci\u00f3n I4Labs han publicado un art\u00edculo en la revista IEEE Access titulado \u00abRGB-D-Fusion: Image Conditioned Depth Diffusion of Humanoid Subjects\u00bb.<\/p>\n\n\n\n

Referencia:
S. Kirch, V. Olyunina, J. Ond\u0159ej, R. Pag\u00e9s, S. Mart\u00edn and C. P\u00e9rez-Molina, \u00abRGB-D-Fusion: Image Conditioned Depth Diffusion of Humanoid Subjects,\u00bb in\u00a0IEEE Access<\/em>, vol. 11, pp. 99111-99129, 2023, doi: 10.1109\/ACCESS.2023.3312017.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

En este art\u00edculo presentamos RGB-D-Fusion, un modelo probabil\u00edstico de difusi\u00f3n de denoising condicional multimodal para generar mapas de profundidad de alta resoluci\u00f3n a partir de im\u00e1genes monoculares RGB de baja resoluci\u00f3n de sujetos humanoides. RGB-D-Fusion primero genera un mapa de profundidad de baja resoluci\u00f3n utilizando un modelo probabil\u00edstico de difusi\u00f3n de denoising condicionado por imagen y luego aumenta la resoluci\u00f3n del mapa de profundidad utilizando un segundo modelo probabil\u00edstico de difusi\u00f3n de denoising condicionado por una imagen RGB-D de baja resoluci\u00f3n. <\/p>\n\n\n\n

Adem\u00e1s, introducimos una t\u00e9cnica de aumento novedosa, el aumento de ruido de profundidad, para incrementar la robustez de nuestro modelo de super-resoluci\u00f3n.<\/p>\n","protected":false},"excerpt":{"rendered":"

Recientemente, los co-ips del grupo de investigaci\u00f3n I4Labs han publicado un art\u00edculo en la revista IEEE Access titulado \u00abRGB-D-Fusion: Image Conditione<\/span><\/div>\n
Read More<\/a><\/div>\n","protected":false},"author":1,"featured_media":2293,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/open.ieec.uned.es\/iot\/wp-json\/wp\/v2\/posts\/2292"}],"collection":[{"href":"https:\/\/open.ieec.uned.es\/iot\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/open.ieec.uned.es\/iot\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/open.ieec.uned.es\/iot\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/open.ieec.uned.es\/iot\/wp-json\/wp\/v2\/comments?post=2292"}],"version-history":[{"count":1,"href":"https:\/\/open.ieec.uned.es\/iot\/wp-json\/wp\/v2\/posts\/2292\/revisions"}],"predecessor-version":[{"id":2294,"href":"https:\/\/open.ieec.uned.es\/iot\/wp-json\/wp\/v2\/posts\/2292\/revisions\/2294"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/open.ieec.uned.es\/iot\/wp-json\/wp\/v2\/media\/2293"}],"wp:attachment":[{"href":"https:\/\/open.ieec.uned.es\/iot\/wp-json\/wp\/v2\/media?parent=2292"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/open.ieec.uned.es\/iot\/wp-json\/wp\/v2\/categories?post=2292"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/open.ieec.uned.es\/iot\/wp-json\/wp\/v2\/tags?post=2292"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}