Deepfake, a combination of the words “deep learning” and “fake,” refers to hyper-realistic videos that employ face swaps that do not indicate manipulation. Deepfakes result from AI programs that merge mix, replace, and superimpose photos and video clips to make fake videos seem authentic. A deepfake developer may modify media and replace it with the look of a genuine person.
Positive Applications of Deepfakes
Film Industry: Saving Time and Labor
Although deepfake technologies are still in their early phases of research in the film business, several notable advancements have occurred. We are now one step closer to mainstreaming deepfakes. Most Hollywood films employ classic VFX for face-swapping, such as 3D scanning and head replacements.
However, this method is time-consuming and often requires many VFX artists to track and trim out the required footage manually. Deepfake technologies, on the other hand, need the input of videos and photos into the software to face-swap with. In every frame, AI will monitor and replace similar pictures. A large team of VFX artists does not need to do this work. Consequently, deepfake technologies are ideal for replacing head transplants in the film business since they save time and effort.
Disney researchers have also achieved ground-breaking findings in the resolution of deepfake technology. They produced the first megapixel-resolution photo-realistic deepfake. Their model can now create a video with a resolution of 11024 × 1024 pixels, which is a substantial advance over the present 256 × 256 pixels poor resolutions. As a result, deepfakes seem more realistic and better on larger displays.
Deepfakes Educating People in a More Interactive Way
While most virtual learning courses are text and graphics-based, certain firms and universities have shown an interest in incorporating deepfake technology into their teaching materials. For example, the American educational firm Udacity has begun incorporating deepfake technology into its online courses.
Previously, individuals could only read the course’s text presentations or listen to audio lectures. Udacity is currently looking at a new machine-learning framework that can automatically produce instructional videos from text-based content or audio narration. This makes the learning process more engaging than just reading off a slide.
Deepfake technology may also create synthetic voices based on historical people. CereProc, a Scottish voice synthesis business, reviewed 831 recordings of former U.S. President John F. Kennedy’s remarks divided into 116,177 phonetic units to “build his voice.”
Since Kennedy was killed on his way to make a speech in Dalla, he had never given his final public address. CereProc, on the other hand, was able to construct a realistic audio speech totally from earlier audio sources using deepfake technology. As a result, deepfake technology may let historical characters narrate their stories/speeches in their own voices, making history lessons more engaging and participatory.
Engaging With Customers or Viewers
Deepfake technologies are also beneficial for engaging customers by giving customized suggestions and offers tailored to their specific requirements. In the news reporting sector, Reuters, a worldwide news agency, has built an AI-generated deepfake person responsible for providing the sports news summary. Individualized news broadcasts from multiple news reporters are available to listen to.
Furthermore, by employing deepfake technology, such news reports may be flawlessly dubbed into multiple languages. Deepfake, for example, may completely replace a person’s lip movement in an English video with a French one. As the content is provided in a foreign language, this may surely help for a smoother watching experience compared to reading captions in a language you know.
Many firms in the fashion sector are already employing AI to create virtual fitting rooms where customers can scan their bodies and “try on” garments before making online purchases. Furthermore, deepfakes may enable shoppers to try on the newest apparel in virtual space—but differently.
Customers may deepfake their faces into virtual models using Data Grid, a Japanese artificial intelligence business. Customers’ faces and bodies may now be deepfaked onto the model using deepfake technology to check whether the garments fit them or not. This will be especially handy for individuals who purchase online.
Although deepfake videos are often linked with fake news or pornography, this technology has numerous useful applications. Deepfake technologies have several good uses in various sectors, including cinema, education, and marketing, ranging from resurrecting the dead to saving time and labor. The possibilities are limitless, and we are excited to explore what deepfake technology may do in the future.
