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The recent progress of deep learning has enabled more powerful frameworks to create good-quality deepfakes. Deepfakes, which are mostly known for malicious purposes, have great potential to be useful in areas such as the movie industry, education, and personalized messaging. This thesis focus on lip-synchronization, which is a part of a broader pipeline to develop personalized video messages, usin
