ABSTRACT
Master's thesis: 71 pp., 20 tables, 17 figures, 1 appendix, 8 sources.
GAN, VAE, DEEPFAKE, DEEP NEURAL NETWORKS, IMAGE
GENERATION.
The object of the research is the model of changing human emotions on a
image.
The subject of the study is the construction of a model of the change of
human emotions.
The purpose of the work is to develop and research a model of human
emotion changes in real time.
Research methods: theoretical (literature review), system-structural method
(analysis of existing generation methods), mathematical modeling, experimental
calculations.
Information support consists of various types of information: open sources,
commercial, expert, etc.
The paper investigated the problem of generating an image of a person with
a different emotion. A synthesis model has been developed that works in such a
way that the generation is qualitative without prior information about the person,
i.e. the data of a given person may not be in the training sample. It should be noted
that the model works in real time, which distinguishes it from existing alternative
approaches to solving the problem. The obtained work results can be used for
entertainment, by professional editors or in cinematography.