Method and apparatus with image depth estimation

A neural network method, the method comprising:

• obtaining a first statistical value associated with a depth for each of plural pixels included in an input image based on a first channel of output data obtained by applying the input image to a neural network;
• obtaining a second statistical value associated with a depth for each of the plural pixels in the input image based on a second channel of the output data;
• and
• estimating depth information of each of the plural pixels in the input image based on the first statistical value and the second statistical value.

A neural network method, the method comprising:

• obtaining a first statistical value and a second statistical value associated with a depth, for each of plural pixels included in an input image, by applying the input image to a neural network;
• obtaining a probability distribution for a depth of each of the plural pixels in the input image, based on the first statistical value and the second statistical value;
• and
• training the neural network using an objective function that is based on the obtained probability distribution and predetermined depth information of each of the plural pixels in the input image.

A neural network apparatus, the apparatus comprising:

• one or more processors configured to:
• obtain a first statistical value associated with a depth for each of plural pixels included in an input image based on a first channel of output data obtained by applying the input image to a neural network;
• obtain a second statistical value associated with a depth for each of the plural pixels in the input image based on a second channel of the output data;
• and
• estimate depth information of each of the plural pixels in the input image based on the first statistical value and the second statistical value.