A survey on deep learning face synthesis and animation techniques used in deepfake | ||
IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING | ||
Articles in Press, Accepted Manuscript, Available Online from 23 May 2023 | ||
Document Type: Review Paper | ||
Authors | ||
Suha saleh Mohammed* 1; Abedalameer abdaalla2 | ||
1technology ,computer depatment | ||
2- | ||
Abstract | ||
Several recent challenging issues ranging from the medical area to complicated data processing and computer vision have demonstrated the capacity of deep learning to tackle them. One of the fields that deep learning that accomplished major success is face synthesis and animation generation. On the other hand, it can create unethical software called deepfake that presents a severe privacy threat or even a huge security risk that can affect innocent people. This work introduces the most recent algorithms and techniques used in deepfake. In addition, it provides a brief explanation of the principles that underpin these technologies and facilitates the development of this field by identifying the challenges and scopes that require further investigation in the future. - Several recent challenging issues ranging from the medical area to complicated data processing and computer vision have demonstrated the capacity of deep learning to tackle them. One of the fields that deep learning that accomplished major success is face synthesis and animation generation. On the other hand, it can create unethical software called deepfake that presents a severe privacy threat or even a huge security risk that can affect innocent people. This work introduces the most recent algorithms and techniques used in deepfake. In addition, it provides a brief explanation of the principles that underpin these technologies and facilitates the development of this field by identifying the challenges and scopes that require further investigation in the future. | ||
Keywords | ||
deep learning,,; ,،,؛face synthesis,,; ,،,؛deepfake,,; ,،,؛face animation,,; ,،,؛motion transfer | ||
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