Deepfake Generation and Detection

Deep Fake Generation and Detection Poster Project Poster

Through an evaluation of deep-learning algorithms, two sets of Python Jupyter Notebooks to seamlessly perform the otherwise difficult task of Deepfake Generation a to easily generate such images, as well as allow the general public to more effectively distinguish between synthetic images from real ones. Additionally, 2 Datasets of 300 Images will be obtained from both the developed Generation and Detection Models to aid further training and testing of such DeepFakes models.

Promotional Video

Technical Demo

 

SUPERVISOR: 

Dr. Peter Leong

TEAM MEMBERS: 

Lim Zhi Yang, Ashley Chung Beng Hunn, Hariz Darwisy Bin Adan, Lim Jun Wei, Gavin Tan Jun An

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