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1-layer, 8-bits parameter neural net doing pattern completion with sparse distributed activations and grid-cell-like vector fields can learn to retopo, maybe. #b3d #blender #retopology

22,379 просмотров • 3 лет назад •via X (Twitter)

Комментарии: 7

Фото профиля Jeacom
Jeacom3 лет назад

Still having trouble with the brush coordinates thing.

Фото профиля Daniel Kreuter
Daniel Kreuter3 лет назад

I love this idea! I’m looking forward to seeing what will become this concept 😊

Фото профиля L̟̹̩̾̐apisSea🔶
L̟̹̩̾̐apisSea🔶3 лет назад

In my experience retopology is not really an issue of how to place the next quad in a grid, it's more an issue of how to achieve the wanted edge flow and density in certain area while minimizing poles or triangles and maximizing the preserved detail of the base shape.

Фото профиля Jeacom
Jeacom3 лет назад

well, this is gonna be a quad brush and not a auto-retopo button so unfortunately, solving poles is a task for the user. but I guess automatically placing and connecting dozens of quads in sensible locations with a single brush stroke is going to release a bit of the burden.

Фото профиля AFX
AFX3 лет назад

This looks awesome 👏

Фото профиля ADecadeAtMost
ADecadeAtMost3 лет назад

How’s Blender sending and receiving data to the model and whete is the model running?

Фото профиля Jeacom
Jeacom3 лет назад

The model is running on CPU locally inside blender's thread. its all mostly custom un-optmized python code and some Cython for vector crunching.

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