Threestudio – Framework for 3D content generation
github.com
github.com
Also in the category of web 3D engine scene editors is https://playcanvas.com/
A lot of papers seem to try and extract 3D data from 2D pictures since the dataset is just so much better, but that hits obvious limitations. And we aren't even talking about any animations yet, which anyone who ever tried making them by hand knows, add a huge jump of complexity because you are not just morphing individual vertices, you actually want them to move consistently or else the faces are going to start doing weird glitchy things. Generating 3D stuff is less like generating pixel-based images and more like generating an SVG where the shapes actually make semantic sense, but a lot more complex. (Which, as far as we have found, no AI has managed so far either.)
Sure, you'll start seeing animated faces, architectural plans, and you'll also see bone system, based animations for humanoids (humanoid 2D video to 3D bone animation AIs exist today), but don't expect to be able to prompt your way through creating a Pixar movie.
However, I'm happy to be convinced otherwise.
See for instance: https://blog.metaphysic.ai/3d-morphable-models-3dmms/
https://aibusiness.com/ml/meet-imagedream-an-ai-model-that-g...
Generative AI is just a tool, and best users of a tool is those most experienced and driven. Not angry, fanatic, self-proclaimed-anti-luddites.
* For the most possible loose definition of "I"
Apparently these image generators are starting to be used in those industries for ideas and mockups - by first drafting conceptual arts using generators, and then tasking humans to completely redraw everything by hand. Final images contain nothing generated, so no copyright issues, no uncanny valleys like found in that image, no professional job security concerns. That's what it's doing. Supercharging the best, giving false hope to the rest.