Exploring deepfakes deploy powerful AI techniques for face replacement and more with this comprehensive guide
Master the innovative world of deepfakes and generative AI for face replacement with this full-color guide Purchase of the print or Kindle book includes a free PDF eBook Key Features Understand what deepfakes are, their history, and how to use the technology ethically Get well-versed with the workfl...
| Otros Autores: | , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing Ltd
[2023]
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| Edición: | 1st ed |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009730939706719 |
Tabla de Contenidos:
- Cover
- Preface
- Title Page
- Copyright
- Contributors
- Table of Contents
- Part 1: Understanding Deepfakes
- Chapter 1: Surveying Deepfakes
- Introducing deepfakes
- Exploring the uses of deepfakes
- Entertainment
- Parody
- Education
- Advertisements
- Discovering how deepfakes work
- Generative auto-encoders
- Assessing the limitations of generative AI
- Resolution
- Training required for each face pair
- Training data
- Looking at existing deepfake software
- Faceswap
- DeepFaceLab
- First Order Model
- Reface
- Summary
- Chapter 2: Examining Deepfake Ethics and Dangers
- The unethical origin of deepfakes
- Being an ethical deepfaker
- Consent
- Respect
- Deception
- Putting it into practice
- The dangers of deepfakes
- Reputation
- Politics
- Avoiding consequences by claiming manipulation
- Preventing damage from deepfakes
- Starving the model of data
- Authenticating any genuine media
- Deepfake detection
- Public relations
- Public awareness
- Summary
- Chapter 3: Acquiring and Processing Data
- Why data is important
- Understanding the value of variety
- Pose
- Expression
- Lighting
- Bringing this variety together
- Sourcing data
- Filming your own data
- Getting data from historical sources
- Improving your data
- Linear color
- Data matching
- Upscaling
- Summary
- Chapter 4: The Deepfake Workflow
- Technical requirements
- Identifying suitable candidates for a swap
- Preparing the training images
- Extracting faces from your source data
- Curating training images
- Training a model
- Setting up
- Launching and monitoring training
- Manual intervention
- Applying a trained model to perform a swap
- The alignments file
- Cleaning the alignments file
- Fixing the alignments file
- Using the Preview tool
- Generating the swap
- Summary.
- Part 2: Getting Hands-On with the Deepfake Process
- Chapter 5: Extracting Faces
- Technical requirements
- Getting image files from a video
- Running extract on frame images
- face_alignments.json
- face_bbox_{filename}_{face number}.png
- face_aligned_{filename}_{face number}.png
- face_mask_{filename}_{face number}.png
- Getting hands-on with the code
- Initialization
- Image preparation
- Face detection
- Face landmarking/aligning
- Summary
- Exercises
- Chapter 6: Training a Deepfake Model
- Technical requirements
- Understanding convolutional layers
- Getting hands-on with AI
- Defining our upscaler
- Creating the encoder
- Building the decoders
- Exploring the training code
- Creating our models
- Looping over the training
- Teaching the network
- Saving results
- Summary
- Exercises
- Chapter 7: Swapping the Face Back into the Video
- Technical requirements
- Preparing to convert video
- Getting hands-on with the convert code
- Initialization
- Loading the AI
- Preparing data
- The conversion loop
- Creating the video from images
- Summary
- Exercises
- Part 3: Where to Now?
- Chapter 8: Applying the Lessons of Deepfakes
- Technical requirements
- Aligning other types of images
- Finding an aligner
- Using the library
- Using the landmarks to align
- The power of masking images
- Types of masking
- Finding a usable mask for your object
- Examining an example
- Getting data under control
- Defining your rules
- Evolving your rules
- Dealing with errors
- Summary
- Chapter 9: The Future of Generative AI
- Generating text
- Recent developments
- Building sentences
- The future of text generation
- Improving image quality
- Various tactics
- The future of image quality upgrading
- Text-guided image generation
- CLIP
- Image generation with CLIP
- The future of image generation.
- Generating sound
- Voice swapping
- Text-guided music generation
- The future of sound generation
- Deepfakes
- Sound generation
- Text-guided image generation
- Improving image quality
- Text generation
- The future of deepfakes
- The future of AI ethics
- Summary
- Index
- About Packt
- Other Books You May Enjoy.
