3 ms·

You can do both 1D and 2D blendspaces in Unreal, so you end up with something like this: https://80.lv/wp-content/uploads/2016/05/walktorund2.gif https://80.lv/

You can do both 1D and 2D blendspaces in Unreal, so you end up with something like this: https://80.lv/wp-content/uploads/2016/05/walktorund2.gif https://80.lv/wp-content/uploads/2016/05/walktorund2.gif Very handy for character locomotion, but only gets you so far. I'm not sure how applicable offline processing is to this though, since if you have a large number of different types of obstacles to be traversed, you'd have to bake >= that number of animations, and your animation state machine would be enormous. The end goal might be to do that in real time, but I don't think anyone is going to seriously suggest running a neural net to calculate animation positions while the game is running. Maybe if you had some smarts in the level designer you could determine the potential pool of animations needed based on placed geometry, and build the animations at packaging time along with the state machine.

partycoder 9y ago
Well, the expensive part is to train the network. After that it should not be as expensive, depending on the size. If that is still not enough, they can also try to look at ways of producing a "good enough" effect with a smaller network. Then, it can also be limited to only some characters, the ones that you are more likely to pay attention to. Now, the MS Kinect does some intense processing behind the scenes (random forests) to capture your motion in real time. Yet you can still run games with decent performance. I think a neural network to adjust animations is not too dissimilar in terms of performance cost.