Abstract: The present invention relates to an image processing device comprising a processor, which uses, when a source image and a target image are input, the source image and the target image so as to generate a face-conversion image, wherein the processor encodes the source image so as to extract an identity feature, encodes the target image so as to extract a target code, decodes the target code so as to extract a pose feature, and integrates the identify feature, the target code and the pose feature, and includes a face swapping framework, which uses an attribute image in which the size of the target image has been adjusted, so as to generate a face-conversion image in which an attribute feature of the target image is reflected.

Abstract: A method and a device for synthesizing a background and a face by considering a face shape and using a deep learning network are proposed. The method and the device are characterized to receive an input of an original image and a converted face image, remove a central part from the original image, remove edges so that a central part remains in the converted face image, and then extract a feature vector from each image to perform image synthesis.

Abstract: The present invention relates to a method for generating a mouth shape by using a deep learning network, and comprises the steps of: receiving a face image as an input; generating a mouth shape of the face image into a preset mouth shape by using a first mouth shape generation preprocessing deep learning model; receiving speech information as an input; generating the preset mouth shape into a mouth shape synchronizing with the speech information by using a second mouth shape generation preprocessing deep learning model; and transforming the mouth shape synchronizing with the speech information into high definition by using a high definition transform postprocessing deep learning model.

Abstract: The present invention relates to a method and an apparatus for composing a background and a face by using a deep learning network, comprising: receiving an input of an original face image and a converted face image, and extracting data preprocessing and feature vectors for each image; generating a face feature vector mask from the extracted feature vectors; and generating a composite image by performing adaptive object normalization on the basis of the generated face feature vector mask.

Abstract: The present invention relates to a method and an apparatus for composing a background and a face by using a deep learning network, comprising: receiving an input of an original face image and a converted face image, and extracting data preprocessing and feature vectors for each image; generating a face feature vector mask from the extracted feature vectors; and generating a composite image by performing adaptive object normalization on the basis of the generated face feature vector mask.

Abstract: A method and a device for synthesizing a background and a face by considering a face shape and using a deep learning network are proposed. The method and the device are characterized to receive an input of an original image and a converted face image, remove a central part from the original image, remove edges so that a central part remains in the converted face image, and then extract a feature vector from each image to perform image synthesis.