How AI is Changing Video Editing
Technology is pushing the boundaries of what's possible in video editing. Professor Maneesh Agrawala explains the exciting possibilities.
Imagine typing words into a text editor and watching on a nearby television as a well-known celebrity speaks those words within seconds.
Computer graphics expert Maneesh Agrawala has imagined it and has created a video editing software that can do it, too. Given enough raw video, Agrawala’s application can produce polished, photorealistic video of any person saying virtually anything he types in.
While he acknowledges concerns about manufactured “deep fakes” of political leaders or others speaking words they never said, Agrawala chooses to focus on the profound upside. He envisions the television and film industries using his technology to forgo costly reshoots, for instance, or medical professionals helping people with damaged vocal cords regain their natural voices.
In the end, while ethical and legal frameworks are being developed to address deep fakes with all due seriousness they deserve, Agrawala says the benefits of the technology, and his passion for it, gets at the most basic of all human endeavors — better communication. Agrawala tells host Russ Altman, associate director of the Stanford Institute for Human-Centered Artificial Intelligence, all about it in this episode of Stanford Engineering’s The Future of Everything podcast. Listen and subscribe here.
Stanford HAI's mission is to advance AI research, education, policy and practice to improve the human condition. Learn more.
Related News
Two models working together perform worse than one alone, exposing a critical gap in artificial intelligence capabilities.
Two models working together perform worse than one alone, exposing a critical gap in artificial intelligence capabilities.
AI Hiring Tools Can Yield Racial Bias and Systemic Rejection
The first large-scale study of hiring algorithms in the wild finds concerning patterns to how systems reject candidates.
The first large-scale study of hiring algorithms in the wild finds concerning patterns to how systems reject candidates.
HAI Executive Director Russell Wald talks about the AI competition between the U.S. and China, and the advent of “world models” that predict what might happen in real-world environments.
HAI Executive Director Russell Wald talks about the AI competition between the U.S. and China, and the advent of “world models” that predict what might happen in real-world environments.