Publication:
SandDiffusion: image generation with depth conditioning for augmented reality SandBoxes

dc.contributor.advisorTFEMarzo Pérez, Asier
dc.contributor.affiliationEscuela Técnica Superior de Ingeniería Industrial, Informática y de Telecomunicaciónes_ES
dc.contributor.affiliationIndustria, Informatika eta Telekomunikazio Ingeniaritzako Goi Mailako Eskola Teknikoaeu
dc.contributor.authorVons Vons, Igor Volodimir
dc.date.accessioned2024-01-31T16:31:23Z
dc.date.available2024-01-31T16:31:23Z
dc.date.issued2024
dc.date.updated2024-01-30T10:27:32Z
dc.description.abstractThis TFG emerges from a collaboration grant signed with UPNA during the academic exercise of 2022-2023, and which main focus was diving into the new AI technologies that started surging at the beginning of set academic year. Its main objective is exploring a real case implementation into already existing technologies, allowing for a newer, richer, and more expressive experience, enhancing its usage without needing to resort to complex algorithms which may be both extremely difficult to produce and maintain, and whose results are not at the level of the ones achieved with AI.en
dc.description.degreeGraduado o Graduada en Ingeniería Informática por la Universidad Pública de Navarra (Programa Internacional)es_ES
dc.description.degreeInformatika Ingeniaritzan Graduatua Nafarroako Unibertsitate Publikoan (Nazioarteko Programa)eu
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/47285
dc.language.isoengen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.subjectStable Diffusionen
dc.subjectControlNeten
dc.subjectLoRAen
dc.subjectSDXL turboen
dc.titleSandDiffusion: image generation with depth conditioning for augmented reality SandBoxesen
dc.typeinfo:eu-repo/semantics/bachelorThesis
dspace.entity.typePublication

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