Abstract: A method of synthesizing intermediate views of a light field includes selecting a configuration of specific input views of a light field collected by a light field acquiring device, specifying coordinates of intermediate views to be synthesized and inputting the specified coordinates to a neural network, and synthesizing intermediate views based on a scene disparity, a selected configuration of the specific input views, and the specified coordinates of the intermediate views, using a neural network.

Abstract: A method for training a convolutional neural network to reconstruct an image. The method includes forming a common loss function basing on the left and right images (IL, IR), reconstructed left and right images (I?L, I?R), disparity maps (dL, dR), reconstructed disparity maps (d?L, d?R) for the left and right images (IL, IR) and the auxiliary images (I?L, I?R) and training the neural network based on the formed loss function.

Abstract: A method of synthesizing intermediate views of a light field includes selecting a configuration of specific input views of a light field collected by a light field acquiring device, specifying coordinates of intermediate views to be synthesized and inputting the specified coordinates to a neural network, and synthesizing intermediate views based on a scene disparity, a selected configuration of the specific input views, and the specified coordinates of the intermediate views, using a neural network.

Abstract: A method for training a convolutional neural network to reconstruct an image. The method includes forming a common loss function basing on the left and right images (IL, IR), reconstructed left and right images (I?L, I?R), disparity maps (dL, dR), reconstructed disparity maps ((d?L, d?R) for the left and right images (IL, IR) and the auxiliary images (I?L, I?R) and training the neural network based on the formed loss function.

Abstract: A method for training a convolutional neural network to reconstruct an image. The method includes forming a common loss function basing on the left and right images (IL, IR), reconstructed left and right images (I?L, I?R), disparity maps (dL, dR), reconstructed disparity maps (d?L, d?R) for the left and right images (IL, IR) and the auxiliary images (I?L, I?R) and training the neural network based on the formed loss function.

Abstract: A system and a method for displaying a scene are provided. The system includes a display configured to emit light, a spatial light modulator configured to modulate input light based on a transparency value, and at least one processor configured to acquire adjustment information including transparency of the spatial light modulator and light intensity information of the display from a plurality of pieces of view information corresponding to the scene and adjust an intensity value of the light emitted from the display and the transparency value of the spatial light modulator based on the adjustment information, wherein the plurality of pieces of view information are optical information of the scene, the optical information having been acquired at a plurality of viewpoints.

Abstract: A method for training a convolutional neural network to reconstruct an image. The method includes forming a common loss function basing on the left and right images (IL, IR), reconstructed left and right images (I?L, I?R), disparity maps (dL, dR), reconstructed disparity maps (d?L, d?R) for the left and right images (IL, IR) and the auxiliary images (I?L, I?R) and training the neural network based on the formed loss function.

Abstract: A system and a method for displaying a scene are provided. The system includes a display configured to emit light, a spatial light modulator configured to modulate input light based on a transparency value, and at least one processor configured to acquire adjustment information including transparency of the spatial light modulator and light intensity information of the display from a plurality of pieces of view information corresponding to the scene and adjust an intensity value of the light emitted from the display and the transparency value of the spatial light modulator based on the adjustment information, wherein the plurality of pieces of view information are optical information of the scene, the optical information having been acquired at a plurality of viewpoints.