I've been bullish[1] on this as a major aspect of generative AI for a while now, so it's great to see this paper published.
3D has an extremely steep learning curve once you try to do anything non-trivial, especially in terms of asset creation for VR etc. but my real interest is where this leads in terms of real-world items. One of the major hurdles is that in the real-world we aren't as forgiving as we are in VR/games. I'm not entirely surprised to see that most of the outputs are "artistic" ones, but I'm really interested to see where this ends up when we can give AI combined inputs from text/photos/LIDAR etc and have it make the model for a physical item that can be 3D printed.
3D has an extremely steep learning curve once you try to do anything non-trivial, especially in terms of asset creation for VR etc. but my real interest is where this leads in terms of real-world items. One of the major hurdles is that in the real-world we aren't as forgiving as we are in VR/games. I'm not entirely surprised to see that most of the outputs are "artistic" ones, but I'm really interested to see where this ends up when we can give AI combined inputs from text/photos/LIDAR etc and have it make the model for a physical item that can be 3D printed.
[1] https://www.technicalchops.com/articles/ai-inputs-and-output...