Generative Adversarial Networks in Lip-Synchronized Deepfakes for Personalized Video Messages
Med hjälp utav de senaste rönen inom maskininlärning utvecklar vi en produkt, som automatiserat kan producera nästa generation av videomeddelanden. Detta med hjälp av den så kallade “deepfake”-teknologin.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