4 ms·
That defeats the purpose. The purpose of deep learning is to let the machine solve the problem using only goal data. If you are going to program it with bones a
by hopler 8y ago
That defeats the purpose. The purpose of deep learning is to let the machine solve the problem using only goal data. If you are going to program it with bones and flesh models then you don't need a neural net.
- jobigoud 8y agoI disagree. If the purpose is simply to get a single-use photograph, then yes. But for this type of application I think we want to create a virtual human that can, at the very least, be photographed from two different angles and ideally put into motion. To create an virtual entity. You wouldn't "program" it with flesh and bones, you would generate a life-like but original new skeleton in the same way we generate these images, except the space of solution is the space of possible skeletons instead of possible pixel configurations. And then generate soft tissues that are also original, conforming to biology constraints and also constrained by the underlying skeleton. Same for skin, created from scratch but believable and driven by the underlying tissue.
- dragonwriter 8y agoWith enough training data, I would think you could create alternate views from the first view via ML methods, rather than doing skeletal structure by ML and then physics modeling to get views.
- animal531 8y agoBut what if you can train other feature lines that will generate backgrounds and other humans? Then add in another feature line that can morph an existing human line into different views, poses and/or animations.