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公开(公告)号:US20230123532A1
公开(公告)日:2023-04-20
申请号:US18083354
申请日:2022-12-16
发明人: Gleb STERKIN , Pavel Ilyich SOLOVEV , Denis Mikhaylovich KORZHENKOV , Victor Sergeevich LEMPITSKY , Taras Andreevich KHAKHULIN
摘要: The present disclosure relates to the field of artificial intelligence (AI) and neural rendering, and particularly to a method of generating a multi-layer representation of a scene using neural networks trained in an end-to-end fashion and to a computing device implementing the method. The method of generating a multi-layer representation of a scene includes: obtaining a pair of images of the scene, the pair of the images comprising a reference image and a source image; performing a reprojection operation on the pair of images to generate a plane-sweep volume; predicting, using a geometry network, a layered structure of the scene based on the plane-sweep volume; and estimating, using a coloring network, color values and opacity values for the predicted layered structure of the scene to obtain the multi-layer representation of the scene; wherein the geometry network and the coloring network are trained in end-to-end manner.