课题基金 / 基金详情

will explore how advances in generative networks and deep-learning approaches to inpainting can be combined to create virtual camera views

will explore how advances in generative networks and deep-learning approaches to inpainting can be combined to create virtual camera views
将探索如何结合生成网络和深度学习修复方法的进步来创建虚拟相机视图
批准号:
2288914
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2019
资助国家:
英国
项目状态:
已结题
起止时间:
2019 至 --

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中文摘要
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英文摘要
Generating virtual camera views using a Generative Query Network This project will explore how advances in Generative networks and deep-learning approaches to inpainting can be combined to create virtual camera views. A unifiedgenerative deep learning framework for viewpoint interpolation and inpainting, should effectively blend the observed viewpoints and hallucinated information, to produce a virtual camera feed from otherwise impractical vantage points. Thedeveloped technology is of interest as a potential extension to the capabilities of the Ed system currently being developed by BBC R&D (using AI techniques for automated content editing).
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
DOI: 10.48550/arxiv.2205.07014
发表时间: 2022-05
期刊: ArXiv
影响因子: --
作者: [Violeta Men'endez Gonz'alez;Andrew Gilbert;Graeme Phillipson;Stephen Jolly;Simon Hadfield]
通讯作者: Violeta Men'endez Gonz'alez;Andrew Gilbert;Graeme Phillipson;Stephen Jolly;Simon Hadfield
SVS: Adversarial refinement for sparse novel view synthesis
SVS:稀疏新颖视图合成的对抗性细化
DOI: --
发表时间: 2022
期刊:
影响因子: --
作者: [Menendez Gonzalez V]
通讯作者: Menendez Gonzalez V
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