4 ms·

I understand it's probably gonna get better and better, but the actual result made me laugh out loud. The skipping rope one was hilarious.

• Agentlien 4y ago
  I was actually really impressed by these results. But yes, that skipping rope does look hilarious.
  • soperj 4y ago
    Oh it's definitely impressive, I just couldn't help laughing.
    • DougBTX 4y ago
      Maybe this is the upside of the uncanny valley, doesn’t look exactly like a person, but it does look like a silly person! https://en.m.wikipedia.org/wiki/Uncanny_valley https://en.m.wikipedia.org/wiki/Uncanny_valley
      • treman 4y ago
        Thought the same thing at first. Very silly indeed if you envision a boxer. On second thought, movements rather resemble those of a small child.
• cdev_gl 4y ago
  If you scroll down a bit there's a wireframe of the skeleton which is what's actually being animated, and you'll notice it's lacking in bones to define the fingers or even possibly hands. Hence why the hands maintain that weird pose throughout all examples. My gut says that the quality could be rapidly improved without changing the underlying design at all. The real issue with this, I think, is that motion capture for humans is already widely available and provides much higher fidelity and control than text. Unless I'm misreading the paper badly, this model was trained on exactly such data. Blending between multiple animations through motion capture is also well-understood. So while the results are impressive, the practical gains seem very marginal. I think perhaps that the equivalent to "inpainting" (as mentioned in the text) and "style transfer" would be the big gain here? If we could use this to retarget animations to different body plans (child, adult, space monster) quickly, or for smarter interpolation between human-authored keyframes, I could see that being a much-desired tool.
  • dagmx 4y ago
    The reason there’s likely no finger joints is because a lot of motion capture data doesn’t include fidelity beyond the wrist. So if they’re training on the standard corpuses of motion capture data available and even mixing in their own, they likely won’t have fingers to base data on.
  • soperj 4y ago
    That wireframe is gonna be sore. Lifting with it's back instead of it's legs...
  • nineteen999 4y ago
    I dunno, as an amateur animator and game developer this would be a huge help to me. I have a first gen Perception Neuron suit, I even wrote an addon for Blender that retargets the Neuron output for the Rigify rig. But it's cumbersome to put on and take off, and to operate, especially when working alone. While I'm in pretty good shape, there's heaps of movements (eg. martial arts, swordplay, firing/reloading a gun etc) that would probably look silly if I performed them. I can see this being very handy at least for prototyping animations at the very least. Replacing finger bone positions is pretty trival in Blender as well using the Pose Library feature so the lack of finger data isn't that much of a big deal.
    • jerpint 4y ago
      This is very informative, I never knew people "did this at home"
  • hoseja 4y ago
    Motion capture is expensive and laborious.
  • codeflo 4y ago
    If you look very closely, the model does have wrists. (Most noticeable on the models left arm — that is the viewer’s right.) Either way, the shoulder and elbow joints don’t move much during rope skipping, and no matter how it’s recorded, the motion capture data that was used for training should reflect that. My best guess is that the model has picked up on the tiny arm motions that are present in rope skipping and wildly exaggerated them for some reason.
• deleted 4y ago
  [deleted]
• bill1306an 4y ago
  • boxed 4y ago
    What?
  • user8139471 4y ago
    Which image/video are you referring to? As far as I can tell, the colors are not used to represent race, but to convey different kinds of information. For example, in Figure 1 and 3 of the paper, the color indicates different points in time. In the video, the colors indicate different motion generation methods. I would not classify "orange", "blue" and "purple" as Caucasian, but if you want even more colors, you can have a look at the original paper where color coding was used to differentiate between different skinning methods (Figure 2). https://files.is.tue.mpg.de/black/papers/SMPL2015.pdf https://files.is.tue.mpg.de/black/papers/SMPL2015.pdf
    • bill1306an 4y ago
      To me, the four videos directly beneath the go to it website link are def not Black, Hispanic, Asian, or most other non-white races.
• boxed 4y ago
  The punching animation is much worse :)