CPC G06T 5/80 (2024.01) [G06N 3/088 (2013.01); G06T 5/50 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] | 20 Claims |
1. A processor-implemented method with data processing using a neural network, the method comprising:
determining a first translated image by translating a first image based on a second image, the first image and a second image having different distortions, such that a distortion of the first translated image corresponds to a distortion of the second image;
determining a first retranslated image by translating the first translated image such that a distortion of the first retranslated image corresponds to a distortion of the first image; and
training a first deformation field generator configured to determine a first relative deformation field that represents a relative deformation from the first image to the second image and a second deformation field generator configured to determine a second relative deformation field that represents a relative deformation from the second image to the first image, based on a loss between the first retranslated image and the first image.
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