CPC G06T 3/0012 (2013.01) [G06N 3/08 (2013.01); G06T 7/0002 (2013.01); G06T 7/50 (2017.01); G06T 7/60 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] | 24 Claims |
1. A processor-implemented method, the method comprising:
receiving input data comprising conditional information and image information, wherein the image information includes geometric information;
receiving depth information corresponding to the conditional information;
extracting feature information from the depth information;
generating a synthesized image based on the conditional information by applying the input data and the feature information to an image generation neural network, the image generation neural network is configured to:
maintain the geometric information of the image information; and
transform, based on the conditional information, first remaining image information of the image information to second remaining image information; and
outputting the synthesized image.
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