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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 görüntüleme • 3 yıl önce •via X (Twitter)

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Jeacom profil fotoğrafı
Jeacom3 yıl önce

Still having trouble with the brush coordinates thing.

Daniel Kreuter profil fotoğrafı
Daniel Kreuter3 yıl önce

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

L̟̹̩̾̐apisSea🔶 profil fotoğrafı
L̟̹̩̾̐apisSea🔶3 yıl önce

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.

Jeacom profil fotoğrafı
Jeacom3 yıl önce

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.

AFX profil fotoğrafı
AFX3 yıl önce

This looks awesome 👏

ADecadeAtMost profil fotoğrafı
ADecadeAtMost3 yıl önce

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

Jeacom profil fotoğrafı
Jeacom3 yıl önce

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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