Divyendra – Kishan ,
Here is an article from today’s Business Line , that might interest you , even as you discuss how exactly my “ animated Virtual Avatar “ should look AUTHENTIC :
Digital Gadfly. The rise and rise of deepfakes in India
Hemen
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Extract :
Data collection:
Gather a large dataset of images and/or videos of the person you want to mimic.
The quality and variety of this dataset significantly affect the realism of the resulting deep fake. The richer the dataset, the better your deep fake. Ever wonder why Modi deep fakes are better? Because there are more images of the PM online
Choose the right software:
Tools and platforms like DeepFaceLab, Faceswap or Zao are commonly used for creating deepfakes. Each tool has its own set of requirements and learning curves.
Training the model:
Use a machine learning algorithm, typically a type of GAN (Generative Adversarial Network), to train your model. This process involves teaching the algorithm to understand and replicate the facial features and expressions of the target from your dataset.
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I’ll end with some tips on how to avoid AI-generated deep fake scams. Because rest assured, tomorrow you or your company or organisation will be the victim of one.
Look for irregularities in facial features:
Eye movement: In many deep fakes, the eyes might not blink naturally or may seem off in some way.
Facial expressions: Observe if facial expressions look mismatched or if they don’t synchronise well with the emotional tone of the speech.
Audio-visual mismatch:
Lip-sync:
Pay attention to the lips. If the movement doesn’t perfectly match the spoken words, it might be a deep fake.
Voice quality:
Sometimes, the voice might not sound quite right — the tone might be a bit off.
Check the video quality and consistency:
Video resolution:
Deepfakes may often have varying qualities within the same video. For example, the face might be in high res while the surroundings or background could be of lower quality.
Contextual clues:
Background details:
Sometimes the focus is so much on getting the face right that the background might be neglected.
Behavioural cues:
Consider whether the person is acting in a way that is consistent with their known behaviour.
Source verification:
Consider the source:
Check where the video came from.
Cross-verification:
Look for the same video or similar announcements from official or multiple reliable sources.
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