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

该项目将探索如何将生成网络和深度学习方法相结合，以创建虚拟相机视图。一个用于视点插值和绘制的统一生成深度学习框架，应该有效地混合观察到的视点和幻觉信息，从其他不切实际的有利位置产生虚拟摄像机馈送。开发的技术是BBC研发部门目前正在开发的Ed系统（使用人工智能技术进行自动内容编辑）功能的潜在扩展。

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).