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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 次观看 • 3 年前 •via X (Twitter)

7 条评论

Jeacom 的头像
Jeacom3 年前

Still having trouble with the brush coordinates thing.

Daniel Kreuter 的头像
Daniel Kreuter3 年前

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

L̟̹̩̾̐apisSea🔶 的头像
L̟̹̩̾̐apisSea🔶3 年前

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 的头像
Jeacom3 年前

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 的头像
AFX3 年前

This looks awesome 👏

ADecadeAtMost 的头像
ADecadeAtMost3 年前

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

Jeacom 的头像
Jeacom3 年前

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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