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Re:Stable Video Diffusion by jncfhnb on Tuesday November 21, 2023 @05:48PM (#38371603)
Text, audio, and bitmapped images are data. Numbers and tokens.

A 3D scene is vastly more complex, and the way you consume it is tangential to the rendering of it we use to interpret. It is a collection of arbitrary data structures.

We’ll need a new approach for this kind of problem

Re:Stable Video Diffusion by dragonwriter on Tuesday November 21, 2023 @05:53PM (#38371688)
> Text, audio, and bitmapped images are data. Numbers and tokens.

> A 3D scene is vastly more complex

3D scenes, in fact, are also data, numbers and tokens. (Well, numbers, but so are tokens.)

Re:Stable Video Diffusion by jncfhnb on Tuesday November 21, 2023 @07:34PM (#38372831)
As I stated and you selectively omitted, 3D scenes are collections of many arbitrary data structures.

Not at all the same as fixed sized arrays representing images.

Re:Stable Video Diffusion by dragonwriter on Tuesday November 21, 2023 @07:38PM (#38372863)
Text gen, one of the things you contrast 3d to, similarly isn't fixed size (capped in most models, but not fixed.)

In fact, the data structures of a 3D scene can be serialized as text, and a properly trained text gen system could generate such a representation directly, though that's probably not the best route to decent text-to-3d.

Re:Stable Video Diffusion by jncfhnb on Tuesday November 21, 2023 @08:49PM (#38373570)
Text is a standard sized embedding vector that gets passed one at a time to an LLM. All tokens have the same shape. Each token is processed one at a time. All tokens also have a pre defined order. It is very different and vastly simpler.

Serializing 3D models as text is not going to work for negligibly non trivial circumstances.