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
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 --
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
海外基金