CAPSLOCKSTUCK
Spaced Out Lunar Tick
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| System Name | Party On |
|---|---|
| Processor | Xeon w 3520 |
| Motherboard | DFI Lanparty |
| Cooling | Big tower thing |
| Memory | 6 gb Ballistix Tracer |
| Video Card(s) | HD 7970 |
| Case | a plank of wood |
| Audio Device(s) | seperate amp and 6 big speakers |
| Power Supply | Corsair |
| Mouse | cheap |
| Keyboard | under going restoration |
Researchers have developed an AI that can create a 3D model of your face just by looking at a single photo.
Typically, 3D face reconstruction poses ‘extraordinary difficulty,’ as it requires multiple images and must work around the varying poses and expressions, along with differences in lightning, according to the team.
By training a neural network on a dataset of both 2D images and 3D facial models or scans, however, their AI can reconstruct the entire face – even adding in parts that might not have been visible in the photo.
The system developed by researchers at the University of Nottingham and Kingston University relies on a convolutional neural network (CNN) to overcome some of the challenges of 3D face reconstruction.
The network learned how to map a face from pixels to 3D coordinates, and essentially works with any picture of a face, the team explains in the paper published to arXiv.
It can even reconstruct faces in arbitrary poses or expressions.
To prove its capabilities, the researchers have also released a version you can try yourself, by uploading a photo of your choice.
Typically, 3D face reconstruction poses ‘extraordinary difficulty,’ as it requires multiple images and must work around the varying poses and expressions, along with differences in lightning, according to the team.
By training a neural network on a dataset of both 2D images and 3D facial models or scans, however, their AI can reconstruct the entire face – even adding in parts that might not have been visible in the photo.
The system developed by researchers at the University of Nottingham and Kingston University relies on a convolutional neural network (CNN) to overcome some of the challenges of 3D face reconstruction.
The network learned how to map a face from pixels to 3D coordinates, and essentially works with any picture of a face, the team explains in the paper published to arXiv.
It can even reconstruct faces in arbitrary poses or expressions.
To prove its capabilities, the researchers have also released a version you can try yourself, by uploading a photo of your choice.
