Learning Device, Learning Method And Test Device, Test Method Using The Same

A system comprising:

• a test device comprising:
• an acquisition device configured to obtain a target image for testing;
• and
• a first network configured to generate, based on the target image, an estimated depth map for testing;
• and
• a learning device configured to:
• obtain the target image and a source image;
• generate, via a second network, pose change information corresponding to a pose change between the target image and the source image;
• generate a composite image corresponding to the target image by using the estimated depth map, the pose change information, and the source image;
• determine, based on the composite image and the target image, a first loss;
• determine, based on a pseudo depth map corresponding to the target image and the estimated depth map, a second loss;
• and
• back-propagate the first loss and the second loss and update a parameter of the first network and a parameter of the second network,
• wherein the test device is configured to perform testing based on the updated parameters.

A learning method comprising:

• obtaining, by one or more processors, a target image and a source image;
• generating, by the one or more processors, an estimated depth map based on the target image;
• generating, by the one or more processors, pose change information corresponding to a pose change between the target image and the source image;
• generating, by the one or more processors, a composite image corresponding to the target image by using the estimated depth map, the pose change information, and the source image;
• determining, by the one or more processors and based on the composite image and the target image, a first loss;
• determining, by the one or more processors and based on a pseudo depth map corresponding to the target image and the estimated depth map, a second loss;
• and
• back-propagating, by the one or more processors, the first loss and the second loss and updating a parameter of a first network for generating the estimated depth map and a parameter of a second network for generating the pose change information.