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1
Intro
2
Overview
3
How did we get here?
4
Features of Faceswap
5
API Stack
6
Neural Networks
7
The Faceswap Machine Learning Stack
8
Face Detection
9
Face Alignment
10
Face Recognition
11
Face Segmentation
12
Image Reconstruction with Auto-Encoders
13
Final Steps: Compositing & Splicing
14
Getting Started with Faceswap
15
Faceswap Process
16
Gathering the Data
17
Extract
18
Convert
19
Post-processing previews
20
The future of Deeplakes
21
References
22
Conclusion and Q&A
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the world of AI-powered Deepfakes technology in this comprehensive 51-minute conference talk from Devoxx. Dive into the fundamentals of Deepfakes, including their creation tools and potential future developments. Gain insights into the positive applications and ethical considerations surrounding this technology. Learn about the underlying AI concepts and discover why specific AI models are employed. Examine the technical stack behind Faceswap, including Python, Keras, Tensorflow, and PlaidML, and understand the challenges of maintaining a public project using cutting-edge research technologies. Follow the Faceswap process from data gathering to final compositing, covering face detection, alignment, recognition, and segmentation. Conclude with a discussion on the future of Deepfakes and participate in a Q&A session to further expand your knowledge on this fascinating subject.

Faceswap - Developing a Platform for Practical Deepfakes

Devoxx
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