Submitted by Valachio t3_117o8t2 in MachineLearning
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Submitted by Valachio t3_117o8t2 in MachineLearning
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I'm looking for a solution that allows anyone to do this using just their phone
Nerf networks
It depends on the downstream application, what do you need to do with it?
3D morphable models are the way to go for image of face to 3d model. I have previously done a lot of research work on this. The deep learning model takes an image as input and outputs 3d model as an obj or fbx file. This can be used in any 3d editing software. Take a look at DECA on github.
I want to let users upload a 3D model of themselves onto an app and try out different clothing on their model. I can tell you more over message if you're interested in hearing more
Try luma AI https://lumalabs.ai/
Anytwo would be cheaper. One person is standing still and the other person is moving around them making photos or a video with a phone. Turntables large enough to hold a person and actuators for moving the phone up and down sound expensive.
That's super cool. Do you know what kind of techniques they are using?
DECA looks cool and it looks viable for my project. I'll look into it a bit deeper. Thanks for the suggestion.
Interesting stuff. The research is actually a couple of years old which is surprising, I expected it to be like months old and not years old. Are you involved with the project?
I do not, sorry.
Anytwo? I'm looking that up and can't find anything on it.
100 percent this will be some sort of Nerf
Na I'm not, it's quite a widespread line of research these days
EmbarrassedHelp t1_j9d76n8 wrote
With unlimited money, I would use a sphere of high quality cameras on a metal rig to capture them at a specific instance in time. Then I'd use photogrammetry to stitch the images together.