A survey on deep learning based reenactment methods for deepfake applications
Ramamurthy Dhanyalakshmi,
Claudiu‐Ionut Popirlan,
Duraisamy Jude Hemanth
Abstract:Among the sectors that deep learning has transformed, deepfake, a novel method of manipulating multimedia, deserves particular attention. The long‐term objective of many researchers is to seamlessly mimic human facial movement or whole‐body activity, referred to as reenactment. Deepfake progress has made this goal much more feasible in recent years. Yet, achieving more realistic facial and body reenactment remains a challenging task. The primary focus of this study is to explore the current capability of the r… Show more
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