What is AI Deepfake?
To put it simply, replace A with B's face. The existing AI face-changing technology is no longer limited to generating face pictures. Even the face that is replaced in the video can be faked. In "Speed and Passion 7," AI face-changing technology helped Paul Walker, the leading actor who died unexpectedly in a car accident, complete the final segment of the movie, adding a touch of comfort and warmth to the fans. In some sci-fi blockbusters, AI face-changing technology can also help the film and television team produce more shocking pictures and reduce certain shooting costs.
In 2017, AI face-changing algorithms were developed. With the continuous development of deep learning models, Deepfake-related applications continue to appear. For example, in recent years, AI face-changing technology has attracted more and more attention and has become one of the hot topics.
AI face-changing technology belongs to deep learning model. By using Generative Adversarial Network (GAN) to learn existing face data and record key features, this technology can autonomously generate faces and imitate their expressions.
How did AI face-changing technology arise and what is the current development? In practice, how do companies apply AI face-changing technology to their business? This open class will focus on the background, development status and key technologies of AI face-changing technology, revealing the practice and application of AI Qiyi's PersonAI team on AI face-changing technology.
course information
Theme: AI Face-changing Technology and Application
Time: 8pm on April 23 (Thursday)
Location: live online
Course Outline
1. Interpretation of core technology:
a) 3D technology
b) Powerful face recognition model
c) Comprehensive face attributes (feature points, quality, sharpness, angle, etc.)
d) Face change method based on GAN
2. Application and practice cases of key technologies:
a) Still face change
b) Video face change
Instructors
Sherry Shi, iQiyi PersonAI team, assistant researcher, has published many papers in AAAI, ACMMM and other conferences, mainly responsible for the design and application of algorithms such as micro expression recognition, image search, and video face change.
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