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Dynamically estimating lighting parameters for positions within augmented-reality scenes based on global and local features
Dynamically estimating lighting parameters for positions within augmented-reality scenes based on global and local features
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机译:根据全局和局部特征动态估计增强现实场景中位置的照明参数
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摘要
This disclosure relates to methods, non-transitory computer readable media, and systems that use a local-lighting-estimation-neural network to render a virtual object in a digital scene by using a local-lighting-estimation-neural network to analyze both global and local features of the digital scene and generate location-specific-lighting parameters for a designated position within the digital scene. For example, the disclosed systems extract and combine such global and local features from a digital scene using global network layers and local network layers of the local-lighting-estimation-neural network. In certain implementations, the disclosed systems can generate location-specific-lighting parameters using a neural-network architecture that combines global and local feature vectors to spatially vary lighting for different positions within a digital scene.
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