[valine]

Even if this is “only” mesh autocomplete, it is still massively useful for 3D artists. There’s a disconnect right now between how characters are sculpted and how characters are animated. You’d typically need a time consuming step to retopologize your model. Transformer based retopology that takes a rough mesh and gives you clean topology would be a big time saver.

Another application: take the output of your gaussian splatter or diffusion model and run it through MeshGPT. Instant usable assets with clean topology from text.

[mattigames]

Lol for 3D artists, this will be used 99% by people who have have never created a mesh by hand in their lifes; to replace their need to hire a 3D artist: programmers who don't want (or can't) pay a designer, architects who never learned nothing other than CAD, fiver "jobs", et al

I don't think people here realize how are we inching to automating the automation itself, and the programmers who will be able to make a living out of this will be a tiny fraction of those who can make a living out of it today.

[toxik]

What you have to understand is that these methods are very sensitive to what is in distribution and out of distribution. If you just plug in user data, it will likely not work.

[bradleyishungry]

sorry to tell you, but there’s no way anything will be generating clean topology for characters for a long long time.

[valine]

There’s no shortage of 3D mesh data to train on. Who to say scaling up the parameter count won’t allow for increasingly intricate topology the same way scaling language models improved reading comprehension.