>
The Epstein List Is Dead- Long Live the Epstein List
Scoop: FBI's Dan Bongino clashes with AG Bondi over handling of Epstein files
THE BACKLASH IS GETTING BIGGER OVER THE COVER-UP OF YOU KNOW WHO!
The DOJ Officially Closed Its Investigation into Pfizer Bribery…More…
Magic mushrooms may hold the secret to longevity: Psilocybin extends lifespan by 57%...
Unitree G1 vs Boston Dynamics Atlas vs Optimus Gen 2 Robot– Who Wins?
LFP Battery Fire Safety: What You NEED to Know
Final Summer Solar Panel Test: Bifacial Optimization. Save Money w/ These Results!
MEDICAL MIRACLE IN JAPAN: Paralyzed Man Stands Again After Revolutionary Stem Cell Treatment!
Insulator Becomes Conducting Semiconductor And Could Make Superelastic Silicone Solar Panels
Slate Truck's Under $20,000 Price Tag Just Became A Political Casualty
Wisdom Teeth Contain Unique Stem Cell That Can Form Cartilage, Neurons, and Heart Tissue
Hay fever breakthrough: 'Molecular shield' blocks allergy trigger at the site
(Truthstream Media) Talk about wag the dog. I'm not even sure what to write for a description of the video you are about to watch.
(Via Stanford University)
So-called "reality" can be edited in real-time.
It's the matrix.
The project is a joint effort in progress between Stanford, the Max Planck Institute for Informatics, and the University of Erlangen-Nuremberg. According to the project's abstract, via Stanford University:
We present a novel approach for real-time facial reenactment of a monocular target video sequence (e.g., Youtube video). The source sequence is also a monocular video stream, captured live with a commodity webcam. Our goal is to animate the facial expressions of the target video by a source actor and re-render the manipulated output video in a photo-realistic fashion. To this end, we first address the under-constrained problem of facial identity recovery from monocular video by non-rigid model-based bundling. At run time, we track facial expressions of both source and target video using a dense photometric consistency measure. Reenactment is then achieved by fast and efficient deformation transfer between source and target. The mouth interior that best matches the re-targeted expression is retrieved from the target sequence and warped to produce an accurate fit. Finally, we convincingly re-render the synthesized target face on top of the corresponding video stream such that it seamlessly blends with the real-world illumination.We demonstrate our method in a live setup, where Youtube videos are reenacted in real time.