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How is this ML? They use a CNN for foreground segmentation, a minor step in their pipeline. But the major contribution seems to be putting the silhouettes in a common reference frame. I sincerely hope sciencemag isn’t putting ML in the title purely to jump on the bandwagon.
Oh how I hate marketing speech. First of all, the title should include "video of a predefined 360° turn". And then they say something along the lines of "average accuracy of about 5mm" for joining the constructed modeled joints to their model, while you see the body wobbling around happily. This is an impressive demo, but gah!
As an artist, my first thought is I wonder what happens if you try giving this a series of drawings .
you'd probably need a lot of drawings, I wonder what's the sampling rate the thing uses it's a cool idea though :)
I would expect minor textural differences in a hand-drawn or painted source would make it a lot harder to correlate points between frames, but it’s an interesting idea to think about!
How is this ML? They use a CNN for foreground segmentation, a minor step in their pipeline. But the major contribution seems to be putting the silhouettes in a common reference frame. I sincerely hope sciencemag isn’t putting ML in the title purely to jump on the bandwagon.
It's someone standing in front of a green screen. You don't need ML to find a person's silhouette.
Which is not to say that ML is necessary for this sort of computer vision task, but I wonder if it yields better or sharper results than other techniques?
Earlier quoted context omitted.
Can you elaborate?
Makes forging facial biometrics easier.
Earlier quoted context omitted.
Makes forging facial biometrics easier.
In the case of Face ID, at least, you’d still have to transfer the measurements into the physical world, in a way that fools a system that has ostensibly been designed not to be fooled by masks.
How is this ML? They use a CNN for foreground segmentation, a minor step in their pipeline. But the major contribution seems to be putting the silhouettes in a common reference frame. I sincerely hope sciencemag isn’t putting ML in the title purely to jump on the bandwagon.
I wonder if will see a future soon where a director can fully edit the positions and physical actions of the actors at post production. basically, the whole scenes will be transferred to believable 3d models seemlessly, and you can reanimate parts of everything. I feel like that's doing to happen for sure, for big Hollywood productions at least (like the Marvel stuff)